Anant Madabhushi - Publications

Affiliations: 
Biomedical Engineering Rutgers University, New Brunswick, United States 
Area:
Biomedical Engineering, Pathology, Oncology

272 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Khorrami M, Prasanna P, Gupta A, Patil P, Velu PD, Thawani R, Corredor G, Alilou M, Bera K, Fu P, Feldman M, Velcheti V, Madabhushi A. Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer. Cancer Immunology Research. PMID 31719058 DOI: 10.1158/2326-6066.CIR-19-0476  0.68
2019 Alilou M, Orooji M, Beig N, Prasanna P, Rajiah P, Donatelli C, Velcheti V, Rakshit S, Yang M, Jacono F, Gilkeson R, Linden P, Madabhushi A. Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas. Scientific Reports. 9: 15873. PMID 31659229 DOI: 10.1038/s41598-019-52008-9  0.68
2019 Li H, Whitney J, Bera K, Gilmore H, Thorat MA, Badve S, Madabhushi A. Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings. Breast Cancer Research : Bcr. 21: 114. PMID 31623652 DOI: 10.1186/s13058-019-1200-6  0.52
2019 Chirra P, Leo P, Yim M, Bloch BN, Rastinehad AR, Purysko A, Rosen M, Madabhushi A, Viswanath SE. Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI. Journal of Medical Imaging (Bellingham, Wash.). 6: 024502. PMID 31259199 DOI: 10.1117/1.JMI.6.2.024502  0.76
2019 Prasanna P, Karnawat A, Ismail M, Madabhushi A, Tiwari P. Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging. Journal of Medical Imaging (Bellingham, Wash.). 6: 024005. PMID 31093517 DOI: 10.1117/1.JMI.6.2.024005  0.76
2019 Braman N, Prasanna P, Whitney J, Singh S, Beig N, Etesami M, Bates DDB, Gallagher K, Bloch BN, Vulchi M, Turk P, Bera K, Abraham J, Sikov WM, Somlo G, ... ... Madabhushi A, et al. Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer. Jama Network Open. 2: e192561. PMID 31002322 DOI: 10.1001/jamanetworkopen.2019.2561  0.68
2019 Janowczyk A, Zuo R, Gilmore H, Feldman M, Madabhushi A. HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. Jco Clinical Cancer Informatics. 1-7. PMID 30990737 DOI: 10.1200/CCI.18.00157  0.64
2019 Vamathevan J, Clark D, Czodrowski P, Dunham I, Ferran E, Lee G, Li B, Madabhushi A, Shah P, Spitzer M, Zhao S. Applications of machine learning in drug discovery and development. Nature Reviews. Drug Discovery. PMID 30976107 DOI: 10.1038/s41573-019-0024-5  0.76
2019 Purysko AS, Magi-Galluzzi C, Mian OY, Sittenfeld S, Davicioni E, du Plessis M, Buerki C, Bullen J, Li L, Madabhushi A, Stephenson A, Klein EA. Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings. European Radiology. PMID 30847589 DOI: 10.1007/s00330-019-06114-x  0.4
2019 Xu J, Gong L, Wang G, Lu C, Gilmore H, Zhang S, Madabhushi A. Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images. Journal of Medical Imaging (Bellingham, Wash.). 6: 017501. PMID 30840729 DOI: 10.1117/1.JMI.6.1.017501  0.56
2019 Viswanath SE, Chirra PV, Yim MC, Rofsky NM, Purysko AS, Rosen MA, Bloch BN, Madabhushi A. Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. Bmc Medical Imaging. 19: 22. PMID 30819131 DOI: 10.1186/s12880-019-0308-6  0.76
2019 Prasanna P, Mitra J, Beig N, Nayate A, Patel J, Ghose S, Thawani R, Partovi S, Madabhushi A, Tiwari P. Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study. Scientific Reports. 9: 1145. PMID 30718547 DOI: 10.1038/s41598-018-37615-2  0.76
2019 Bui MM, Riben MW, Allison KH, Chlipala E, Colasacco C, Kahn AG, Lacchetti C, Madabhushi A, Pantanowitz L, Salama ME, Stewart RL, Thomas NE, Tomaszewski JE, Hammond ME. Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists. Archives of Pathology & Laboratory Medicine. PMID 30645156 DOI: 10.5858/arpa.2018-0378-CP  0.52
2018 Hipp JD, Johann DJ, Chen Y, Madabhushi A, Monaco J, Cheng J, Rodriguez-Canales J, Stumpe MC, Riedlinger G, Rosenberg AZ, Hanson JC, Kunju LP, Emmert-Buck MR, Balis UJ, Tangrea MA. Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools. Journal of Pathology Informatics. 9: 45. PMID 30622835 DOI: 10.4103/jpi.jpi_60_18  0.36
2018 Beig N, Khorrami M, Alilou M, Prasanna P, Braman N, Orooji M, Rakshit S, Bera K, Rajiah P, Ginsberg J, Donatelli C, Thawani R, Yang M, Jacono F, Tiwari P, ... ... Madabhushi A, et al. Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas. Radiology. 180910. PMID 30561278 DOI: 10.1148/radiol.2018180910  0.76
2018 Alilou M, Orooji M, Beig N, Prasanna P, Rajiah P, Donatelli C, Velcheti V, Rakshit S, Yang M, Jacono F, Gilkeson R, Linden P, Madabhushi A. Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas. Scientific Reports. 8: 15290. PMID 30327507 DOI: 10.1038/s41598-018-33473-0  0.68
2018 Leo P, Elliott R, Shih NNC, Gupta S, Feldman M, Madabhushi A. Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study. Scientific Reports. 8: 14918. PMID 30297720 DOI: 10.1038/s41598-018-33026-5  0.64
2018 Corredor G, Wang X, Zhou Y, Lu C, Fu P, Syrigos KN, Rimm DL, Yang M, Romero E, Schalper KA, Velcheti V, Madabhushi A. Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 30201760 DOI: 10.1158/1078-0432.CCR-18-2013  0.4
2018 Penzias G, Singanamalli A, Elliott R, Gollamudi J, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes AM, Ponsky L, Fu P, Tiwari P, Viswanath S, ... Madabhushi A, et al. Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings. Plos One. 13: e0200730. PMID 30169514 DOI: 10.1371/journal.pone.0200730  0.76
2018 Lu C, Romo-Bucheli D, Wang X, Janowczyk A, Ganesan S, Gilmore H, Rimm D, Madabhushi A. Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation; a Journal of Technical Methods and Pathology. PMID 29959421 DOI: 10.1038/s41374-018-0095-7  0.52
2018 Carleton NM, Lee G, Madabhushi A, Veltri RW. Advances in the computational and molecular understanding of the prostate cancer cell nucleus. Journal of Cellular Biochemistry. PMID 29923622 DOI: 10.1002/jcb.27156  0.76
2018 Whitney J, Corredor G, Janowczyk A, Ganesan S, Doyle S, Tomaszewski J, Feldman M, Gilmore H, Madabhushi A. Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. Bmc Cancer. 18: 610. PMID 29848291 DOI: 10.1186/s12885-018-4448-9  0.92
2018 Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A, González F. High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. Plos One. 13: e0196828. PMID 29795581 DOI: 10.1371/journal.pone.0196828  0.68
2018 Shiradkar R, Ghose S, Jambor I, Taimen P, Ettala O, Purysko AS, Madabhushi A. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings. Journal of Magnetic Resonance Imaging : Jmri. PMID 29734484 DOI: 10.1002/jmri.26178  0.4
2018 Janowczyk A, Doyle S, Gilmore H, Madabhushi A. A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 6: 270-276. PMID 29732269 DOI: 10.1080/21681163.2016.1141063  0.92
2018 Nirschl JJ, Janowczyk A, Peyster EG, Frank R, Margulies KB, Feldman MD, Madabhushi A. A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue. Plos One. 13: e0192726. PMID 29614076 DOI: 10.1371/journal.pone.0192726  0.64
2018 Peyster EG, Madabhushi A, Margulies KB. Advanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection. Transplantation. PMID 29570167 DOI: 10.1097/TP.0000000000002189  0.52
2018 Algohary A, Viswanath S, Shiradkar R, Ghose S, Pahwa S, Moses D, Jambor I, Shnier R, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Purysko AS, ... ... Madabhushi A, et al. Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings. Journal of Magnetic Resonance Imaging : Jmri. PMID 29469937 DOI: 10.1002/jmri.25983  0.44
2018 Antunes J, Viswanath S, Brady JT, Crawshaw B, Ros P, Steele S, Delaney CP, Paspulati R, Willis J, Madabhushi A. Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings. Academic Radiology. PMID 29371120 DOI: 10.1016/j.acra.2017.12.006  0.44
2018 Beig N, Patel J, Prasanna P, Hill V, Gupta A, Correa R, Bera K, Singh S, Partovi S, Varadan V, Ahluwalia M, Madabhushi A, Tiwari P. Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Scientific Reports. 8: 7. PMID 29311558 DOI: 10.1038/s41598-017-18310-0  0.76
2018 Thawani R, McLane M, Beig N, Ghose S, Prasanna P, Velcheti V, Madabhushi A. Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer (Amsterdam, Netherlands). 115: 34-41. PMID 29290259 DOI: 10.1016/j.lungcan.2017.10.015  0.68
2017 Ghose S, Shiradkar R, Rusu M, Mitra J, Thawani R, Feldman M, Gupta AC, Purysko AS, Ponsky L, Madabhushi A. Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings. Scientific Reports. 7: 15829. PMID 29158516 DOI: 10.1038/s41598-017-13443-8  0.64
2017 Wang X, Janowczyk A, Zhou Y, Thawani R, Fu P, Schalper K, Velcheti V, Madabhushi A. Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images. Scientific Reports. 7: 13543. PMID 29051570 DOI: 10.1038/s41598-017-13773-7  0.48
2017 Wang H, Viswanath S, Madabhushi A. Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies. Scientific Reports. 7: 12375. PMID 28959011 DOI: 10.1038/s41598-017-12569-z  0.44
2017 Li L, Pahwa S, Penzias G, Rusu M, Gollamudi J, Viswanath S, Madabhushi A. Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation. Scientific Reports. 7: 8717. PMID 28821786 DOI: 10.1038/s41598-017-08969-w  0.44
2017 Bektik E, Dennis A, Prasanna P, Madabhushi A, Fu JD. Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes. Plos One. 12: e0183000. PMID 28796841 DOI: 10.1371/journal.pone.0183000  0.68
2017 Lu C, Lewis JS, Dupont WD, Plummer WD, Janowczyk A, Madabhushi A. An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival. Modern Pathology : An Official Journal of the United States and Canadian Academy of Pathology, Inc. PMID 28776575 DOI: 10.1038/modpathol.2017.98  0.48
2017 Braman NM, Etesami M, Prasanna P, Dubchuk C, Gilmore H, Tiwari P, Plecha D, Madabhushi A. Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast Cancer Research : Bcr. 19: 80. PMID 28693537 DOI: 10.1186/s13058-017-0862-1  0.76
2017 Gurcan MN, Tomaszewski JE, Madabhushi A. Special Section Guest Editorial: Digital Pathology. Journal of Medical Imaging (Bellingham, Wash.). 4: 021101. PMID 28680908 DOI: 10.1117/1.JMI.4.2.021101  0.52
2017 Prasanna P, Patel J, Partovi S, Madabhushi A, Tiwari P. Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. European Radiology. PMID 28608160 DOI: 10.1007/s00330-017-4815-y  0.76
2017 Braman NM, Etesami M, Prasanna P, Dubchuk C, Gilmore H, Tiwari P, Pletcha D, Madabhushi A. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast Cancer Research : Bcr. 19: 57. PMID 28521821 DOI: 10.1186/s13058-017-0846-1  0.76
2017 Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih NNC, Tomaszewski J, González FA, Madabhushi A. Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. Scientific Reports. 7: 46450. PMID 28418027 DOI: 10.1038/srep46450  0.68
2017 Xu J, Monaco JP, Sparks R, Madabhushi A. Connecting Markov random fields and active contour models: application to gland segmentation and classification. Journal of Medical Imaging (Bellingham, Wash.). 4: 021107. PMID 28382316 DOI: 10.1117/1.JMI.4.2.021107  0.56
2017 Corredor G, Whitney J, Arias V, Madabhushi A, Romero E. Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features. Journal of Medical Imaging (Bellingham, Wash.). 4: 021105. PMID 28382314 DOI: 10.1117/1.JMI.4.2.021105  0.4
2017 Romo-Bucheli D, Janowczyk A, Gilmore H, Romero E, Madabhushi A. A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 28192639 DOI: 10.1002/cyto.a.23065  0.52
2017 Rusu M, Purysko AS, Verma S, Kiechle J, Gollamudi J, Ghose S, Herrmann K, Gulani V, Paspulati R, Ponsky L, Böhm M, Haynes AM, Moses D, Shnier R, Delprado W, ... ... Madabhushi A, et al. Computational imaging reveals shape differences between normal and malignant prostates on MRI. Scientific Reports. 7: 41261. PMID 28145532 DOI: 10.1038/srep41261  0.4
2017 Viswanath SE, Tiwari P, Lee G, Madabhushi A. Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. Bmc Medical Imaging. 17: 2. PMID 28056889 DOI: 10.1186/s12880-016-0172-6  0.76
2017 Kim JJ, Bennett NK, Devita MS, Chahar S, Viswanath S, Lee EA, Jung G, Shao PP, Childers EP, Liu S, Kulesa A, Garcia BA, Becker ML, Hwang NS, Madabhushi A, et al. Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells. Scientific Reports. 7: 39406. PMID 28051095 DOI: 10.1038/srep39406  0.44
2016 Lee G, Veltri RW, Zhu G, Ali S, Epstein JI, Madabhushi A. Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings. European Urology Focus. PMID 28753763 DOI: 10.1016/j.euf.2016.05.009  0.76
2016 Xu J, Luo X, Wang G, Gilmore H, Madabhushi A. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Neurocomputing. 191: 214-223. PMID 28154470 DOI: 10.1016/j.neucom.2016.01.034  0.56
2016 Ginsburg SB, Algohary A, Pahwa S, Gulani V, Ponsky L, Aronen HJ, Boström PJ, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Taimen P, Villani R, ... ... Madabhushi A, et al. Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study. Journal of Magnetic Resonance Imaging : Jmri. PMID 27990722 DOI: 10.1002/jmri.25562  0.36
2016 Prasanna P, Tiwari P, Madabhushi A. Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor. Scientific Reports. 6: 37241. PMID 27872484 DOI: 10.1038/srep37241  0.76
2016 Shiradkar R, Podder TK, Algohary A, Viswanath S, Ellis RJ, Madabhushi A. Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI. Radiation Oncology (London, England). 11: 148. PMID 27829431 DOI: 10.1186/s13014-016-0718-3  0.44
2016 Leo P, Lee G, Shih NN, Elliott R, Feldman MD, Madabhushi A. Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images. Journal of Medical Imaging (Bellingham, Wash.). 3: 047502. PMID 27803941 DOI: 10.1117/1.JMI.3.4.047502  0.76
2016 Prasanna P, Patel J, Partovi S, Madabhushi A, Tiwari P. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. European Radiology. PMID 27778090 DOI: 10.1007/s00330-016-4637-3  0.76
2016 Lu C, Xu H, Xu J, Gilmore H, Mandal M, Madabhushi A. Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. Scientific Reports. 6: 33985. PMID 27694950 DOI: 10.1038/srep33985  1
2016 Romo-Bucheli D, Janowczyk A, Gilmore H, Romero E, Madabhushi A. Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images. Scientific Reports. 6: 32706. PMID 27599752 DOI: 10.1038/srep32706  0.52
2016 Janowczyk A, Madabhushi A. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Journal of Pathology Informatics. 7: 29. PMID 27563488 DOI: 10.4103/2153-3539.186902  0.48
2016 Penzias G, Janowczyk A, Singanamalli A, Rusu M, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes AM, Ponsky L, Viswanath S, Madabhushi A. AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Scientific Reports. 6: 29906. PMID 27457670 DOI: 10.1038/srep29906  1
2016 Madabhushi A, Lee G. Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Analysis. PMID 27423409 DOI: 10.1016/j.media.2016.06.037  1
2016 Lee G, Romo Bucheli DE, Madabhushi A. Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data. Plos One. 11: e0159088. PMID 27421116 DOI: 10.1371/journal.pone.0159088  0.76
2016 Bhargava R, Madabhushi A. Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Annual Review of Biomedical Engineering. 18: 387-412. PMID 27420575 DOI: 10.1146/annurev-bioeng-112415-114722  1
2016 Janowczyk A, Basavanhally A, Madabhushi A. Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. PMID 27373749 DOI: 10.1016/j.compmedimag.2016.05.003  0.68
2016 Ginsburg SB, Taimen P, Merisaari H, Vainio P, Boström PJ, Aronen HJ, Jambor I, Madabhushi A. Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method. Journal of Magnetic Resonance Imaging : Jmri. PMID 27285161 DOI: 10.1002/jmri.25330  0.36
2016 Sparks R, Madabhushi A. Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. Scientific Reports. 6: 27306. PMID 27264985 DOI: 10.1038/srep27306  1
2016 Toth R, Sperling D, Madabhushi A. Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings. Plos One. 11: e0150016. PMID 27088600 DOI: 10.1371/journal.pone.0150016  1
2016 Antunes J, Viswanath S, Rusu M, Valls L, Hoimes C, Avril N, Madabhushi A. Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study. Translational Oncology. 9: 155-62. PMID 27084432 DOI: 10.1016/j.tranon.2016.01.008  1
2016 Hoimes CJ, Madabhushi A. Editorial Comment. Urology. 88: 132-3. PMID 26964790 DOI: 10.1016/j.urology.2015.09.043  1
2016 Wan T, Bloch BN, Plecha D, Thompson CL, Gilmore H, Jaffe C, Harris L, Madabhushi A. A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores. Scientific Reports. 6: 21394. PMID 26887643 DOI: 10.1038/srep21394  1
2016 Xu J, Luo X, Wang G, Gilmore H, Madabhushi A. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images Neurocomputing. 191: 214-223. DOI: 10.1016/j.neucom.2016.01.034  1
2015 Tiwari P, Danish SF, Jiang B, Madabhushi A. Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings. Journal of Medical Imaging (Bellingham, Wash.). 2: 041008. PMID 26870745 DOI: 10.1117/1.JMI.2.4.041008  0.76
2015 Varadan V, Kamalakaran S, Gilmore H, Banerjee N, Janevski A, Miskimen KL, Williams N, Basavanhalli A, Madabhushi A, Lezon-Geyda K, Bossuyt V, Lannin DR, Abu-Khalaf M, Sikov W, Dimitrova N, et al. Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers. International Journal of Cancer. Journal International Du Cancer. PMID 26284485 DOI: 10.1002/ijc.29808  1
2015 Rusu M, Golden T, Wang H, Gow A, Madabhushi A. Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model. Medical Physics. 42: 4822-32. PMID 26233209 DOI: 10.1118/1.4923161  1
2015 Xu J, Xiang L, Liu Q, Gilmore H, Wu J, Tang J, Madabhushi A. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images. Ieee Transactions On Medical Imaging. PMID 26208307 DOI: 10.1109/TMI.2015.2458702  1
2015 Litjens GJ, Elliott R, Shih NN, Feldman MD, Kobus T, Hulsbergen-van de Kaa C, Barentsz JO, Huisman HJ, Madabhushi A. Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging. Radiology. 142856. PMID 26192734 DOI: 10.1148/radiol.2015142856  1
2015 Ginsburg S, Lee G, Ali S, Madabhushi A. Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. Ieee Transactions On Medical Imaging. PMID 26186772 DOI: 10.1109/TMI.2015.2456188  1
2015 Sridhar A, Doyle S, Madabhushi A. Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces. Journal of Pathology Informatics. 6: 41. PMID 26167385 DOI: 10.4103/2153-3539.159441  0.92
2015 Singanamalli A, Rusu M, Sparks RE, Shih NN, Ziober A, Wang LP, Tomaszewski J, Rosen M, Feldman M, Madabhushi A. Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer. Journal of Magnetic Resonance Imaging : Jmri. PMID 26110513 DOI: 10.1002/jmri.24975  1
2015 Basavanhally A, Viswanath S, Madabhushi A. Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer. Plos One. 10: e0117900. PMID 25993029 DOI: 10.1371/journal.pone.0117900  1
2015 Xu J, Xiang L, Wang G, Ganesan S, Feldman M, Shih NN, Gilmore H, Madabhushi A. Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. PMID 25958195 DOI: 10.1016/j.compmedimag.2015.04.002  1
2015 Sparks R, Bloch BN, Feleppa E, Barratt D, Moses D, Ponsky L, Madabhushi A. Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging. Medical Physics. 42: 1153-63. PMID 25735270 DOI: 10.1118/1.4905104  1
2015 Veta M, van Diest PJ, Willems SM, Wang H, Madabhushi A, Cruz-Roa A, Gonzalez F, Larsen AB, Vestergaard JS, Dahl AB, Cire?an DC, Schmidhuber J, Giusti A, Gambardella LM, Tek FB, et al. Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Analysis. 20: 237-48. PMID 25547073 DOI: 10.1016/j.media.2014.11.010  1
2015 Ali S, Veltri R, Epstein JI, Christudass C, Madabhushi A. Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 41: 3-13. PMID 25466771 DOI: 10.1016/j.compmedimag.2014.11.001  1
2015 Lee G, Singanamalli A, Wang H, Feldman MD, Master SR, Shih NN, Spangler E, Rebbeck T, Tomaszewski JE, Madabhushi A. Supervised multi-view canonical correlation analysis (sMVCCA): integrating histologic and proteomic features for predicting recurrent prostate cancer. Ieee Transactions On Medical Imaging. 34: 284-97. PMID 25203987 DOI: 10.1109/TMI.2014.2355175  1
2015 Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors. Journal of Magnetic Resonance Imaging : Jmri. 41: 1383-93. PMID 24943647 DOI: 10.1002/jmri.24676  1
2015 Cruz-Roa A, Arévalo J, Judkins A, Madabhushi A, González F. A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning Proceedings of Spie - the International Society For Optical Engineering. 9681. DOI: 10.1117/12.2208825  1
2015 Gurcan M, Madabhushi A. Introduction Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9420: xi-xiii. DOI: 10.1117/12.2193831  1
2015 Cruz-Roa A, Xu J, Madabhushi A. A note on the stability and discriminability of graph based features for classification problems in digital pathology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9287. DOI: 10.1117/12.2085141  1
2015 Cruz-Roa A, Arevalo J, Basavanhally A, Madabhushi A, González F. A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9287. DOI: 10.1117/12.2073849  1
2015 Otálora S, Cruz-Roa A, Arevalo J, Atzori M, Madabhushi A, Judkins AR, González F, Müller H, Depeursinge A. Combining unsupervised feature learning and riesz wavelets for histopathology image representation: Application to identifying anaplastic medulloblastoma Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9349: 581-588. DOI: 10.1007/978-3-319-24553-9_71  1
2014 Litjens GJ, Huisman HJ, Elliott RM, Shih NN, Feldman MD, Viswanath S, Fütterer JJ, Bomers JG, Madabhushi A. Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy. Journal of Medical Imaging (Bellingham, Wash.). 1: 035001. PMID 26158070 DOI: 10.1117/1.JMI.1.3.035001  0.64
2014 Wang H, Cruz-Roa A, Basavanhally A, Gilmore H, Shih N, Feldman M, Tomaszewski J, Gonzalez F, Madabhushi A. Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features. Journal of Medical Imaging (Bellingham, Wash.). 1: 034003. PMID 26158062 DOI: 10.1117/1.JMI.1.3.034003  0.68
2014 Tiwari P, Danish S, Madabhushi A. Identifying MRI markers associated with early response following laser ablation for neurological disorders: preliminary findings. Plos One. 9: e114293. PMID 25503713 DOI: 10.1371/journal.pone.0114293  1
2014 Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, Heller M, Jain R, Madabhushi A, Madhavan S, Napel S, Rao A, Saltz J, Tatum J, Verhaak R, et al. NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures. Translational Oncology. 7: 556-69. PMID 25389451 DOI: 10.1016/j.tranon.2014.07.007  1
2014 Viswanath S, Toth R, Rusu M, Sperling D, Lepor H, Futterer J, Madabhushi A. Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer. Neurocomputing. 144: 13-23. PMID 25346574 DOI: 10.1016/j.neucom.2014.03.065  1
2014 Wang H, Singanamalli A, Ginsburg S, Madabhushi A. Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 385-92. PMID 25320823 DOI: 10.1007/978-3-319-10443-0_49  1
2014 Prasanna P, Tiwari P, Madabhushi A. Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 73-80. PMID 25320784  1
2014 Toth R, Traughber B, Ellis R, Kurhanewicz J, Madabhushi A. A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI. Neurocomputing. 114: 3-12. PMID 25267873 DOI: 10.1016/j.neucom.2014.01.058  1
2014 Wan T, Bloch BN, Danish S, Madabhushi A. A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological Disorders. Neurocomputing. 144: 24-37. PMID 25225455 DOI: 10.1016/j.neucom.2013.11.051  1
2014 Tiwari P, Danish S, Madabhushi A. Identifying MRI markers to evaluate early treatment related changes post laser ablation for cancer pain management. Proceedings of Spie--the International Society For Optical Engineering. 9036: 90362L. PMID 25075271 DOI: 10.1117/12.2043729  1
2014 Rusu M, Bloch BN, Jaffe CC, Genega EM, Lenkinski RE, Rofsky NM, Feleppa E, Madabhushi A. Prostatome: a combined anatomical and disease based MRI atlas of the prostate. Medical Physics. 41: 072301. PMID 24989400 DOI: 10.1118/1.4881515  1
2014 Pallavi T, Prateek P, Lisa R, Leo W, Chaitra B, Andrew S, Mark C, Anant M. Texture Descriptors to distinguish Radiation Necrosis from Recurrent Brain Tumors on multi-parametric MRI. Proceedings of Spie--the International Society For Optical Engineering. 9035: 90352B. PMID 24910722 DOI: 10.1117/12.2043969  1
2014 Lee G, Sparks R, Ali S, Shih NN, Feldman MD, Spangler E, Rebbeck T, Tomaszewski JE, Madabhushi A. Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients. Plos One. 9: e97954. PMID 24875018 DOI: 10.1371/journal.pone.0097954  1
2014 Toth RJ, Shih N, Tomaszewski JE, Feldman MD, Kutter O, Yu DN, Paulus JC, Paladini G, Madabhushi A. Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework. Journal of Pathology Informatics. 5: 8. PMID 24843820 DOI: 10.4103/2153-3539.129441  0.64
2014 Agner SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A. Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study. Radiology. 272: 91-9. PMID 24620909 DOI: 10.1148/radiol.14121031  1
2014 Litjens G, Toth R, van de Ven W, Hoeks C, Kerkstra S, van Ginneken B, Vincent G, Guillard G, Birbeck N, Zhang J, Strand R, Malmberg F, Ou Y, Davatzikos C, Kirschner M, ... ... Madabhushi A, et al. Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge. Medical Image Analysis. 18: 359-73. PMID 24418598 DOI: 10.1016/j.media.2013.12.002  1
2014 Lewis JS, Ali S, Luo J, Thorstad WL, Madabhushi A. A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. The American Journal of Surgical Pathology. 38: 128-37. PMID 24145650 DOI: 10.1097/PAS.0000000000000086  1
2014 Orooji M, Sparks R, Bloch BN, Feleppa E, Barratt D, Madabhushi A. Spatially aware expectation maximization (SpAEM): Application to prostate TRUS segmentation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9034. DOI: 10.1117/12.2043981  1
2014 Ginsburg SB, Rusu M, Kurhanewicz J, Madabhushi A. Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2043937  1
2014 Wang H, Cruz-Roa A, Basavanhally A, Gilmore H, Shih N, Feldman M, Tomaszewski J, Gonzalez F, Madabhushi A. Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9041. DOI: 10.1117/12.2043902  1
2014 Cruz-Roa A, Basavanhally A, González F, Gilmore H, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A. Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9041. DOI: 10.1117/12.2043872  1
2014 Rusu M, Kurhanewicz J, Tewari A, Madabhushi A. A prostate MRI atlas of biochemical failures following cancer treatment Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2043775  1
2014 Singanamalli A, Wang H, Lee G, Shih N, Rosen M, Master S, Tomaszewski J, Feldman M, Madabhushi A. Supervised multi-view canonical correlation analysis: Fused multimodal prediction of disease diagnosis and prognosis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038. DOI: 10.1117/12.2043762  1
2014 Koundinyan S, Toth R, Madabhushi A, Maguire T. A statistical deformation model based regularizer for registration of histology and MRI Proceedings of the Ieee Annual Northeast Bioengineering Conference, Nebec. 2014. DOI: 10.1109/NEBEC.2014.6972845  1
2014 Prasanna P, Tiwari P, Madabhushi A. Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing tumor confounders and molecular subtypes on MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8675: 73-80. DOI: 10.1007/978-3-319-10443-0_10  1
2013 Tiwari P, Danish S, Wong S, Madabhushi A. Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy. Proceedings of Spie--the International Society For Optical Engineering. 8671: 86711Y. PMID 25076822 DOI: 10.1117/12.2008157  1
2013 Viswanath S, Toth R, Rusu M, Sperling D, Lepor H, Futterer J, Madabhushi A. Quantitative Evaluation of Treatment Related Changes on Multi-Parametric MRI after Laser Interstitial Thermal Therapy of Prostate Cancer. Proceedings of Spie--the International Society For Optical Engineering. 8671: 86711F. PMID 24817802 DOI: 10.1117/12.2008037  1
2013 Cruz-Roa AA, Arevalo Ovalle JE, Madabhushi A, González Osorio FA. A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 403-10. PMID 24579166 DOI: 10.1007/978-3-642-40763-5_50  1
2013 Ginsburg S, Ali S, Lee G, Basavanhally A, Madabhushi A. Variable importance in nonlinear kernels (VINK): classification of digitized histopathology. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 238-45. PMID 24579146 DOI: 10.1007/978-3-642-40763-5_30  1
2013 Lee G, Ali S, Veltri R, Epstein JI, Christudass C, Madabhushi A. Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 396-403. PMID 24505786 DOI: 10.1007/978-3-642-40760-4_50  1
2013 Ali S, Lewis J, Madabhushi A. Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 412-9. PMID 24505693  1
2013 Rusu M, Bloch BN, Jaffe CC, Rofsky NM, Genega EM, Feleppa E, Lenkinski RE, Madabhushi A. Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained Registration. Proceedings of Spie--the International Society For Optical Engineering. 8669. PMID 24392203 DOI: 10.1117/12.2006941  1
2013 Sparks R, Bloch BN, Feleppa E, Barratt D, Madabhushi A. Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric. Proceedings of Spie--the International Society For Optical Engineering. 8671. PMID 24353393 DOI: 10.1117/12.2007610  1
2013 Hwuang E, Danish S, Rusu M, Sparks R, Toth R, Madabhushi A. Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 4006-9. PMID 24110610 DOI: 10.1109/EMBC.2013.6610423  1
2013 Toth R, Ribault J, Gentile J, Sperling D, Madabhushi A. Simultaneous Segmentation of Prostatic Zones Using Active Appearance Models With Multiple Coupled Levelsets. Computer Vision and Image Understanding : Cviu. 117: 1051-1060. PMID 23997571 DOI: 10.1016/j.cviu.2012.11.013  1
2013 Sparks R, Madabhushi A. Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histology. Computer Vision and Image Understanding : Cviu. 117: 1138-1146. PMID 23888106 DOI: 10.1016/j.cviu.2012.11.011  1
2013 Sparks R, Madabhushi A. Explicit shape descriptors: novel morphologic features for histopathology classification. Medical Image Analysis. 17: 997-1009. PMID 23850744 DOI: 10.1016/j.media.2013.06.002  1
2013 Janowczyk A, Chandran S, Madabhushi A. Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions. Journal of Pathology Informatics. 4: S8. PMID 23766944 DOI: 10.4103/2153-3539.109865  0.48
2013 Agner SC, Xu J, Madabhushi A. Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging. Medical Physics. 40: 032305. PMID 23464337 DOI: 10.1118/1.4790466  1
2013 Basavanhally A, Ganesan S, Feldman M, Shih N, Mies C, Tomaszewski J, Madabhushi A. Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides. Ieee Transactions On Bio-Medical Engineering. 60: 2089-99. PMID 23392336 DOI: 10.1109/TBME.2013.2245129  0.68
2013 Tiwari P, Kurhanewicz J, Madabhushi A. Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS. Medical Image Analysis. 17: 219-35. PMID 23294985 DOI: 10.1016/j.media.2012.10.004  1
2013 Ghaznavi F, Evans A, Madabhushi A, Feldman M. Digital imaging in pathology: whole-slide imaging and beyond. Annual Review of Pathology. 8: 331-59. PMID 23157334 DOI: 10.1146/annurev-pathol-011811-120902  1
2013 Prasanna P, Jain S, Bhagat N, Madabhushi A. Decision support system for detection of diabetic retinopathy using smartphones Proceedings of the 2013 7th International Conference On Pervasive Computing Technologies For Healthcare and Workshops, Pervasivehealth 2013. 176-179. DOI: 10.4108/icst.pervasivehealth.2013.252093  1
2013 Prabu SB, Toth R, Madabhushi A. A Statistical Deformation Model (SDM) based regularizer for non-rigid image registration: Application to registration of multimodal prostate MRI and histology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8676. DOI: 10.1117/12.2008707  1
2013 Ali S, Veltri R, Epstein JA, Christudass C, Madabhushi A. Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8676. DOI: 10.1117/12.2008695  1
2013 Singanamalli A, Sparks R, Rusu M, Shih N, Ziober A, Tomaszewski J, Rosen M, Feldman M, Madabhushi A. Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8676. DOI: 10.1117/12.2008136  1
2013 Ginsburg SB, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2007715  1
2013 Basavanhally A, Madabhushi A. Em-based segmentation-driven color standardization of digitized histopathology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8676. DOI: 10.1117/12.2007173  1
2013 Wan T, Nicolas Bloch B, Danish S, Madabhushi A. A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2007153  1
2013 Rusu M, Wang H, Golden T, Gow A, Madabhushi A. Multi-scale, multi-modal fusion of histological and MRI volumes for characterization of lung inammation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8672. DOI: 10.1117/12.2007148  1
2013 Wang H, Rusu M, Golden T, Gow A, Madabhushi A. Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient@case.edu Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2006860  1
2013 Wan T, Bloch BN, Danish S, Madabhushi A. Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications Proceedings - International Symposium On Biomedical Imaging. 1428-1431. DOI: 10.1109/ISBI.2013.6556802  1
2013 Ali S, Lewis J, Madabhushi A. Spatially aware cell cluster(SpACCl) graphs: Predicting outcome in oropharyngeal p16+ tumors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8149: 412-419. DOI: 10.1007/978-3-642-40811-3_52  1
2013 Gurcan M, Madabhushi A. Progress in Biomedical Optics and Imaging - Proceedings of SPIE: Introduction Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8676.  1
2012 Monaco J, Hipp J, Lucas D, Smith S, Balis U, Madabhushi A. Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 365-72. PMID 23285572  1
2012 Cruz-Roa A, González F, Galaro J, Judkins AR, Ellison D, Baccon J, Madabhushi A, Romero E. A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 157-64. PMID 23285547  1
2012 Doyle S, Feldman MD, Shih N, Tomaszewski J, Madabhushi A. Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. Bmc Bioinformatics. 13: 282. PMID 23110677 DOI: 10.1186/1471-2105-13-282  1
2012 Monaco JP, Madabhushi A. Class-specific weighting for Markov random field estimation: application to medical image segmentation. Medical Image Analysis. 16: 1477-89. PMID 22986078 DOI: 10.1016/j.media.2012.06.007  1
2012 Toth R, Madabhushi A. Multifeature landmark-free active appearance models: application to prostate MRI segmentation. Ieee Transactions On Medical Imaging. 31: 1638-50. PMID 22665505 DOI: 10.1109/TMI.2012.2201498  1
2012 Ali S, Madabhushi A. An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery. Ieee Transactions On Medical Imaging. 31: 1448-60. PMID 22498689 DOI: 10.1109/TMI.2012.2190089  1
2012 Chowdhury N, Toth R, Chappelow J, Kim S, Motwani S, Punekar S, Lin H, Both S, Vapiwala N, Hahn S, Madabhushi A. Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning. Medical Physics. 39: 2214-28. PMID 22482643 DOI: 10.1118/1.3696376  1
2012 Hipp J, Monaco J, Kunju LP, Cheng J, Yagi Y, Rodriguez-Canales J, Emmert-Buck MR, Hewitt S, Feldman MD, Tomaszewski JE, Toner M, Tompkins RG, Flotte T, Lucas D, Gilbertson JR, ... Madabhushi A, et al. Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification. Analytical Cellular Pathology (Amsterdam). 35: 251-65. PMID 22425661 DOI: 10.3233/ACP-2012-0054  1
2012 Viswanath SE, Bloch NB, Chappelow JC, Toth R, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery. Journal of Magnetic Resonance Imaging : Jmri. 36: 213-24. PMID 22337003 DOI: 10.1002/jmri.23618  1
2012 Viswanath S, Madabhushi A. Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. Bmc Bioinformatics. 13: 26. PMID 22316103 DOI: 10.1186/1471-2105-13-26  1
2012 Bulman JC, Toth R, Patel AD, Bloch BN, McMahon CJ, Ngo L, Madabhushi A, Rofsky NM. Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes. Radiology. 262: 144-51. PMID 22190657 DOI: 10.1148/radiol.11110266  1
2012 Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A. High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts. Ieee Transactions On Bio-Medical Engineering. 59: 1240-52. PMID 22180503 DOI: 10.1109/TBME.2011.2179546  0.64
2012 Cerutti S, Madabhushi A, Shah SK, Chon KH. Editorial: TBME Letters special section on multiscale biomedical signal and image modeling and analysis. Ieee Transactions On Bio-Medical Engineering. 59: 4-7. PMID 22180501 DOI: 10.1109/TBME.2011.2178350  1
2012 Hipp J, Smith SC, Cheng J, Tomlins SA, Monaco J, Madabhushi A, Kunju LP, Balis UJ. Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm. Analytical Cellular Pathology (Amsterdam). 35: 41-50. PMID 21988838 DOI: 10.3233/ACP-2011-0040  1
2012 Tiwari P, Viswanath S, Kurhanewicz J, Sridhar A, Madabhushi A. Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection. Nmr in Biomedicine. 25: 607-19. PMID 21960175 DOI: 10.1002/nbm.1777  1
2012 Doyle S, Feldman M, Tomaszewski J, Madabhushi A. A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies. Ieee Transactions On Bio-Medical Engineering. 59: 1205-18. PMID 20570758 DOI: 10.1109/TBME.2010.2053540  1
2012 Sparks R, Madabhushi A. Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8315. DOI: 10.1117/12.912887  1
2012 Monaco J, Raess P, Chawla R, Bagg A, Weiss M, Choi J, Madabhushi A. Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes Proceedings - International Symposium On Biomedical Imaging. 740-743. DOI: 10.1109/ISBI.2012.6235654  1
2011 Tiwari P, Viswanath S, Lee G, Madabhushi A. MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2011: 165-168. PMID 25705325 DOI: 10.1109/ISBI.2011.5872379  1
2011 Viswanath S, Tiwari P, Chappelow J, Toth R, Kurhanewicz J, Madabhushi A. CADOnc(©): An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2011: 2095-2098. PMID 25360226 DOI: 10.1109/ISBI.2011.5872825  1
2011 Viswanath S, Bloch BN, Chappelow J, Patel P, Rofsky N, Lenkinski R, Genega E, Madabhushi A. Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI. Proceedings of Spie--the International Society For Optical Engineering. 7963: 79630U. PMID 25301991 DOI: 10.1117/12.878312  1
2011 Basavanhally A, Feldman M, Shih N, Mies C, Tomaszewski J, Ganesan S, Madabhushi A. Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX. Journal of Pathology Informatics. 2: S1. PMID 22811953 DOI: 10.4103/2153-3539.92027  0.68
2011 Golugula A, Lee G, Master SR, Feldman MD, Tomaszewski JE, Madabhushi A. Supervised regularized canonical correlation analysis: integrating histologic and proteomic data for predicting biochemical failures. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 6434-7. PMID 22255811 DOI: 10.1109/IEMBS.2011.6091588  1
2011 Patel P, Chappelow J, Tomaszewski J, Feldman MD, Rosen M, Shih N, Madabhushi A. Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 6269-72. PMID 22255771 DOI: 10.1109/IEMBS.2011.6091547  1
2011 Palumbo D, Yee B, O'Dea P, Leedy S, Viswanath S, Madabhushi A. Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 5080-3. PMID 22255481 DOI: 10.1109/IEMBS.2011.6091258  1
2011 Galaro J, Judkins AR, Ellison D, Baccon J, Madabhushi A. An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 3443-6. PMID 22255080 DOI: 10.1109/IEMBS.2011.6090931  1
2011 Yu E, Monaco JP, Tomaszewski J, Shih N, Feldman M, Madabhushi A. Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 3427-30. PMID 22255076 DOI: 10.1109/IEMBS.2011.6090927  1
2011 Golugula A, Lee G, Madabhushi A. Evaluating feature selection strategies for high dimensional, small sample size datasets. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 949-52. PMID 22254468 DOI: 10.1109/IEMBS.2011.6090214  1
2011 Hipp J, Cheng J, Pantanowitz L, Hewitt S, Yagi Y, Monaco J, Madabhushi A, Rodriguez-Canales J, Hanson J, Roy-Chowdhuri S, Filie AC, Feldman MD, Tomaszewski JE, Shih NN, Brodsky V, et al. Image microarrays (IMA): Digital pathology's missing tool. Journal of Pathology Informatics. 2: 47. PMID 22200030 DOI: 10.4103/2153-3539.86829  0.64
2011 Golugula A, Lee G, Master SR, Feldman MD, Tomaszewski JE, Speicher DW, Madabhushi A. Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. Bmc Bioinformatics. 12: 483. PMID 22182303 DOI: 10.1186/1471-2105-12-483  1
2011 Doyle S, Monaco J, Feldman M, Tomaszewski J, Madabhushi A. An active learning based classification strategy for the minority class problem: application to histopathology annotation. Bmc Bioinformatics. 12: 424. PMID 22034914 DOI: 10.1186/1471-2105-12-424  1
2011 Xiao G, Madabhushi A. Aggregated distance metric learning (ADM) for image classification in presence of limited training data. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 33-40. PMID 22003681 DOI: 10.1007/978-3-642-23626-6_5  1
2011 Ali S, Veltri R, Epstein JI, Christudass C, Madabhushi A. Adaptive energy selective active contour with shape priors for nuclear segmentation and gleason grading of prostate cancer. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 661-9. PMID 22003675 DOI: 10.1007/978-3-642-23623-5_83  1
2011 Cheng J, Hipp J, Monaco J, Lucas DR, Madabhushi A, Balis UJ. Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies. Journal of Pathology Informatics. 2: 37. PMID 21886893 DOI: 10.4103/2153-3539.83752  0.36
2011 Hipp JD, Sica J, McKenna B, Monaco J, Madabhushi A, Cheng J, Balis UJ. The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community. Journal of Pathology Informatics. 2: 31. PMID 21845229 DOI: 10.4103/2153-3539.83191  0.36
2011 Hipp J, Flotte T, Monaco J, Cheng J, Madabhushi A, Yagi Y, Rodriguez-Canales J, Emmert-Buck M, Dugan MC, Hewitt S, Toner M, Tompkins RG, Lucas D, Gilbertson JR, Balis UJ. Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess. Journal of Pathology Informatics. 2: 25. PMID 21773056 DOI: 10.4103/2153-3539.82050  0.36
2011 Chappelow J, Bloch BN, Rofsky N, Genega E, Lenkinski R, DeWolf W, Madabhushi A. Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information. Medical Physics. 38: 2005-18. PMID 21626933 DOI: 10.1118/1.3560879  1
2011 Xu J, Janowczyk A, Chandran S, Madabhushi A. A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Analysis. 15: 851-62. PMID 21570336 DOI: 10.1016/j.media.2011.04.002  1
2011 Toth R, Bloch BN, Genega EM, Rofsky NM, Lenkinski RE, Rosen MA, Kalyanpur A, Pungavkar S, Madabhushi A. Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI. Academic Radiology. 18: 745-54. PMID 21549962 DOI: 10.1016/j.acra.2011.01.016  1
2011 Chappelow J, Tomaszewski JE, Feldman M, Shih N, Madabhushi A. HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 35: 557-67. PMID 21397459 DOI: 10.1016/j.compmedimag.2011.01.010  1
2011 Monaco JP, Madabhushi A. Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations. Ieee Transactions On Medical Imaging. 30: 1353-64. PMID 21335309 DOI: 10.1109/TMI.2011.2114896  1
2011 Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 35: 506-14. PMID 21333490 DOI: 10.1016/j.compmedimag.2011.01.008  1
2011 Xiao G, Bloch BN, Chappelow J, Genega EM, Rofsky NM, Lenkinski RE, Tomaszewski J, Feldman MD, Rosen M, Madabhushi A. Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 35: 568-78. PMID 21255974 DOI: 10.1016/j.compmedimag.2010.12.003  1
2011 Toth R, Tiwari P, Rosen M, Reed G, Kurhanewicz J, Kalyanpur A, Pungavkar S, Madabhushi A. A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Analysis. 15: 214-25. PMID 21195016 DOI: 10.1016/j.media.2010.09.002  1
2011 Agner SC, Soman S, Libfeld E, McDonald M, Thomas K, Englander S, Rosen MA, Chin D, Nosher J, Madabhushi A. Textural kinetics: A novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification Journal of Digital Imaging. 24: 446-463. PMID 20508965 DOI: 10.1007/s10278-010-9298-1  1
2011 Sparks R, Madabhushi A. Content-based image retrieval utilizing explicit shape descriptors: Applications to breast MRI and prostate histopathology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.878428  1
2011 Ali S, Madabhushi A. Segmenting multiple overlapping objects via a hybrid active contour model incorporating shape priors: Applications to digital pathology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.878425  1
2011 Janowczyk A, Chandran S, Feldman M, Madabhushi A. Local morphologic scale: Application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.878415  1
2011 Agner SC, Xu J, Rosen M, Karthigeyan S, Englander S, Madabhushi A. Spectral embedding based active contour (SEAC): Application to breast lesion segmentation on DCE-MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.878218  1
2011 Basavanhally A, Yu E, Xu J, Ganesan S, Feldman M, Tomaszewski J, Madabhushi A. Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.878092  1
2011 Lai Y, Viswanath S, Baccon J, Ellison D, Judkins AR, Madabhushi A. A texture-based classifier to discriminate anaplastic from non-anaplastic medulloblastoma 2011 Ieee 37th Annual Northeast Bioengineering Conference, Nebec 2011. DOI: 10.1109/NEBC.2011.5778641  1
2011 Tchikindas L, Sparks R, Baccon J, Ellison D, Judkins AR, Madabhushi A. Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts 2011 Ieee 37th Annual Northeast Bioengineering Conference, Nebec 2011. DOI: 10.1109/NEBC.2011.5778640  1
2011 Sridhar A, Doyle S, Madabhushi A. Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology Proceedings - International Symposium On Biomedical Imaging. 1897-1900. DOI: 10.1109/ISBI.2011.5872779  1
2011 Toth R, Sparks R, Madabhushi A. Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI Proceedings - International Symposium On Biomedical Imaging. 1463-1466. DOI: 10.1109/ISBI.2011.5872676  1
2011 Sparks R, Madabhushi A. Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading Proceedings - International Symposium On Biomedical Imaging. 734-737. DOI: 10.1109/ISBI.2011.5872510  1
2011 Doyle S, Feldman M, Tomaszewski J, Shih N, Madabhushi A. Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology Proceedings - International Symposium On Biomedical Imaging. 715-718. DOI: 10.1109/ISBI.2011.5872506  1
2011 Ali S, Madabhushi A. Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology Proceedings - International Symposium On Biomedical Imaging. 614-617. DOI: 10.1109/ISBI.2011.5872482  1
2011 Basavanhally A, Ganesan S, Shih N, Mies C, Feldman M, Tomaszewski J, Madabhushi A. A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology Proceedings - International Symposium On Biomedical Imaging. 125-128. DOI: 10.1109/ISBI.2011.5872370  1
2011 Tiwari P, Viswanath S, Kurhanewicz J, Madabhushi A. Weighted combination of multi-parametric MR imaging markers for evaluating radiation therapy related changes in the prostate Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6963: 80-91. DOI: 10.1007/978-3-642-23944-1_9  1
2011 Ginsburg S, Tiwari P, Kurhanewicz J, Madabhushi A. Variable ranking with PCA: Finding multiparametric MR imaging markers for prostate cancer diagnosis and grading Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6963: 146-157. DOI: 10.1007/978-3-642-23944-1_15  1
2010 Tiwari P, Kurhanewicz J, Rosen M, Madabhushi A. Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13: 666-73. PMID 20879458 DOI: 10.1007/978-3-642-15711-0_83  1
2010 Sparks R, Madabhushi A. Novel morphometric based classification via diffeomorphic based shape representation using manifold learning. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13: 658-65. PMID 20879457 DOI: 10.1007/978-3-642-15711-0_82  1
2010 Xu J, Monaco JP, Madabhushi A. Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13: 197-204. PMID 20879400 DOI: 10.1007/978-3-642-15711-0_25  1
2010 Monaco JP, Tomaszewski JE, Feldman MD, Hagemann I, Moradi M, Mousavi P, Boag A, Davidson C, Abolmaesumi P, Madabhushi A. High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Analysis. 14: 617-29. PMID 20493759 DOI: 10.1016/j.media.2010.04.007  0.64
2010 Madabhushi A, Doyle S, Lee G, Basavanhally A, Monaco J, Masters S, Tomaszewski J, Feldman M. Integrated diagnostics: a conceptual framework with examples. Clinical Chemistry and Laboratory Medicine. 48: 989-98. PMID 20491597 DOI: 10.1515/CCLM.2010.193  1
2010 Fatakdawala H, Xu J, Basavanhally A, Bhanot G, Ganesan S, Feldman M, Tomaszewski JE, Madabhushi A. Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology. Ieee Transactions On Bio-Medical Engineering. 57: 1676-89. PMID 20172780 DOI: 10.1109/TBME.2010.2041232  0.68
2010 Juan D, Alexe G, Antes T, Liu H, Madabhushi A, Delisi C, Ganesan S, Bhanot G, Liou LS. Identification of a microRNA panel for clear-cell kidney cancer. Urology. 75: 835-41. PMID 20035975 DOI: 10.1016/j.urology.2009.10.033  0.52
2010 Basavanhally AN, Ganesan S, Agner S, Monaco JP, Feldman MD, Tomaszewski JE, Bhanot G, Madabhushi A. Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology. Ieee Transactions On Bio-Medical Engineering. 57: 642-53. PMID 19884074 DOI: 10.1109/TBME.2009.2035305  1
2010 Xu J, Janowczyk A, Chandran S, Madabhushi A. A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: Applications to histopathology image segmentation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7623. DOI: 10.1117/12.845602  1
2010 Xiao G, Bloch B, Chappelow J, Genega E, Rofsky N, Lenkinski R, Madabhushi A. A structural-functional MRI-based disease atlas: Application to computer-aided-diagnosis of prostate cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7623. DOI: 10.1117/12.845554  1
2010 Basavanhally A, Doyle S, Madabhushi A. Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 229-232. DOI: 10.1109/ISBI.2010.5490373  1
2010 Chappelow J, Madabhushi A. Multi-attribute combined mutual information (MACMI): An image registration framework for leveraging multiple data channels 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 376-379. DOI: 10.1109/ISBI.2010.5490330  1
2010 Madabhushi A, Basavanhally A, Doyle S, Agner S, Lee G. Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1415-1418. DOI: 10.1109/ISBI.2010.5490264  1
2010 Sparks R, Toth R, Chappelow J, Xiao G, Madabhushi A. An integrated framework for analyzing three-dimensional shape differences: Evaluating prostate morphometry 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1081-1084. DOI: 10.1109/ISBI.2010.5490180  1
2010 Gurcan MN, Madabhushi A, Rajpoot N. Pattern recognition in histopathological images: An ICPR 2010 contest Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6388: 226-234. DOI: 10.1007/978-3-642-17711-8_23  1
2010 Doyle S, Madabhushi A. Consensus of ambiguity: Theory and application of active learning for biomedical image analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6282: 313-324. DOI: 10.1007/978-3-642-16001-1_27  1
2010 Lee G, Madabhushi A. Semi-supervised graph embedding scheme with active learning (SSGEAL): Classifying high dimensional biomedical data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6282: 207-218. DOI: 10.1007/978-3-642-16001-1_18  1
2010 Xu J, Sparks R, Janowcyzk A, Tomaszewski JE, Feldman MD, Madabhushi A. High-throughput prostate cancer gland detection, segmentation, and classification from digitized needle core biopsies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6367: 77-88. DOI: 10.1007/978-3-642-15989-3_10  1
2010 Madabhushi A, Dowling J, Yan P, Fenster A, Abolmaesumi P, Hata N. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6367.  1
2009 Viswanath S, Bloch BN, Rosen M, Chappelow J, Toth R, Rofsky N, Lenkinski R, Genega E, Kalyanpur A, Madabhushi A. Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI. Proceedings of Spie--the International Society For Optical Engineering. 7260: 72603I. PMID 25301989 DOI: 10.1117/12.811899  1
2009 Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B. Histopathological image analysis: a review. Ieee Reviews in Biomedical Engineering. 2: 147-71. PMID 20671804 DOI: 10.1109/RBME.2009.2034865  1
2009 Tiwari P, Rosen M, Reed G, Kurhanewicz J, Madabhushi A. Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 844-51. PMID 20426190 DOI: 10.1007/978-3-642-04271-3_102  1
2009 Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A. Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 230-8. PMID 20425992 DOI: 10.1007/978-3-642-04268-3_29  1
2009 Tiwari P, Rosen M, Madabhushi A. A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Medical Physics. 36: 3927-39. PMID 19810465 DOI: 10.1118/1.3180955  1
2009 Lexe G, Monaco J, Doyle S, Basavanhally A, Reddy A, Seiler M, Ganesan S, Bhanot G, Madabhushi A. Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging. Experimental Biology and Medicine (Maywood, N.J.). 234: 860-79. PMID 19491367 DOI: 10.3181/0902-MR-89  1
2009 Naik J, Doyle S, Basavanally A, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A. A boosted distance metric: Application to content based image retrieval and classification of digitized histopathology Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.813931  1
2009 Basavanhally A, Xu J, Madabhushi A, Ganesan S. Computer-aided prognosis of er+ breast cancer histopathology and correlating survival outcomewith oncotype dx assay Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 851-854. DOI: 10.1109/ISBI.2009.5193186  1
2009 Lee G, Doyle S, Monaco J, Madabhushi A, Feldman MD, Master SR, Tomaszewski JE. A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 77-80. DOI: 10.1109/ISBI.2009.5192987  1
2009 Jog A, Joshi A, Chandran S, Madabhushi A. Classifying ayurvedic pulse signals via consensus locally linear embedding Biosignals 2009 - Proceedings of the 2nd International Conference On Bio-Inspired Systems and Signal Processing. 388-395.  1
2008 Tiwari P, Rosen M, Madabhushi A. Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 330-8. PMID 18982622 DOI: 10.1007/978-3-540-85990-1-40  1
2008 Viswanath S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Chappelow J, Toth R, Madabhushi A. A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 662-9. PMID 18979803 DOI: 10.1007/978-3-540-85988-8_79  1
2008 Toth R, Chappelow J, Rosen M, Pungavkar S, Kalyanpur A, Madabhushi A. Multi-attribute non-initializing texture reconstruction based active shape model (MANTRA). Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 653-61. PMID 18979802 DOI: 10.1007/978-3-540-85988-8_78  1
2008 Lee G, Rodriguez C, Madabhushi A. Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 5: 368-84. PMID 18670041 DOI: 10.1109/TCBB.2008.36  1
2008 Souza A, Udupa JK, Madabhushi A. Image filtering via generalized scale. Medical Image Analysis. 12: 87-98. PMID 17827051 DOI: 10.1016/j.media.2007.07.007  1
2008 Viswanath S, Tiwari P, Rosen M, Madabhushi A. A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.771022  1
2008 Agner SC, Soman S, Libfeld E, McDonald M, Rosen MA, Schnall MD, Chin D, Nosher J, Madabhushi A. Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770920  1
2008 Viswanath S, Rosen M, Madabhushi A. A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770868  1
2008 Toth R, Tiwari P, Rosen M, Kalyanpur A, Pungavkar S, Madabhushi A. A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6914. DOI: 10.1117/12.770772  1
2008 Chappelow J, Viswanath S, Monaco J, Rosen M, Tomaszewski J, Feldman M, Madabhushi A. Improving supervised classification accuracy using non-rigid multimodal image registration: Detecting prostate cancer Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915. DOI: 10.1117/12.770703  1
2008 Doyle S, Agner S, Madabhushi A, Feldman M, Tomaszewski J. Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 496-499. DOI: 10.1109/ISBI.2008.4541041  1
2008 Naik S, Doyle S, Agner S, Madabhushi A, Feldman M, Tomaszewski J. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 284-287. DOI: 10.1109/ISBI.2008.4540988  1
2007 Tiwari P, Madabhushi A, Rosen M. A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 278-86. PMID 18044579  1
2007 Chappelow J, Madabhushi A, Rosen M, Tomaszeweski J, Feldman M. Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6512. DOI: 10.1117/12.710558  1
2007 Naik S, Madabhushi A, Tomaszeweski J, Feldman MD. A quantitative exploration of efficacy of gland morphology in prostate cancer grading Bioengineering, Proceedings of the Northeast Conference. 58-59. DOI: 10.1109/NEBC.2007.4413278  1
2007 Doyle S, Hwang M, Shah K, Madabhushi A, Feldman M, Tomaszeweski J. Automated grading of prostate cancer using architectural and textural image features 2007 4th Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 1284-1287. DOI: 10.1109/ISBI.2007.357094  1
2007 Chappelow J, Madabhushi A, Rosen M, Tomaszeweski J, Feldman M. A combined feature ensemble based mutual information scheme for robust inter-modal, inter-protocol image registration 2007 4th Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 644-647. DOI: 10.1109/ISBI.2007.356934  1
2007 Lee G, Rodriguez C, Madabhushi A. An empirical comparison of dimensionality reduction methods for classifying gene and protein expression datasets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4463: 170-181.  1
2006 Doyle S, Rodriguez C, Madabhushi A, Tomaszeweski J, Feldman M. Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 4759-62. PMID 17947116 DOI: 10.1109/IEMBS.2006.260188  1
2006 Madabhushi A, Yang P, Rosen M, Weinstein S. Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 3070-3. PMID 17947006 DOI: 10.1109/IEMBS.2006.260189  1
2006 Doyle S, Madabhushi A, Feldman M, Tomaszeweski J. A boosting cascade for automated detection of prostate cancer from digitized histology. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 504-11. PMID 17354810  1
2006 Madabhushi A, Udupa JK. New methods of MR image intensity standardization via generalized scale. Medical Physics. 33: 3426-34. PMID 17022239 DOI: 10.1118/1.2335487  1
2006 Madabhushi A, Udupa JK, Moonis G. Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging. Journal of Magnetic Resonance Imaging : Jmri. 24: 667-75. PMID 16878312 DOI: 10.1002/jmri.20658  1
2006 Madabhushi A, Udupa JK, Souza A. Generalized scale: Theory, algorithms, and application to image inhomogeneity correction Computer Vision and Image Understanding. 101: 100-121. DOI: 10.1016/j.cviu.2005.07.010  1
2006 Madabhushi A, Shi J, Feldman M, Rosen M, Tomaszewski J. Comparing ensembles of learners: Detecting prostate cancer from high resolution MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4241: 25-36.  1
2006 Wu Y, Wang C, Ng SC, Madabhushi A, Zhong Y. Breast cancer diagnosis using neural-based linear fusion strategies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4234: 165-175.  1
2005 Madabhushi A, Shi J, Rosen M, Tomaszeweski JE, Feldman MD. Graph embedding to improve supervised classification and novel class detection: application to prostate cancer. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 729-37. PMID 16685911 DOI: 10.1007/11566465_90  1
2005 Madabhushi A, Feldman MD, Metaxas DN, Tomaszeweski J, Chute D. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. Ieee Transactions On Medical Imaging. 24: 1611-25. PMID 16350920 DOI: 10.1109/TMI.2005.859208  1
2005 Madabhushi A, Udupa JK. Interplay between intensity standardization and inhomogeneity correction in MR image processing. Ieee Transactions On Medical Imaging. 24: 561-76. PMID 15889544 DOI: 10.1109/TMI.2004.843256  1
2005 Madabhushi A, Metaxas DN. Advances in computerized image analysis methods on breast ultrasound Medical Imaging Systems Technology: Analysis and Computational Methods. 119-150. DOI: 10.1142/9789812705785_0005  1
2005 Souza A, Udupa JK, Madabhushi A. Generalized scale-based image filtering Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 732-742. DOI: 10.1117/12.595784  1
2005 Madabhushi A, Udupa JK, Souza A. Generalized ball-scale: Theory, algorithms, and application to image inhomogeneity correction Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 1509-1520. DOI: 10.1117/12.595360  1
2003 Madabhushi A, Metaxas DN. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions. Ieee Transactions On Medical Imaging. 22: 155-69. PMID 12715992 DOI: 10.1109/TMI.2002.808364  1
2003 Madabhushi A, Udupa JK. The interplay between intensity standardization and inhomogeneity correction in MR image processing Proceedings of Spie - the International Society For Optical Engineering. 5032: 768-779. DOI: 10.1117/12.481345  1
2003 Madabhushi A, Feldman M, Metaxas D, Chute D, Tomaszeweski J. Optimal Feature Combination for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 614-617.  1
2003 Madabhushi A, Feldman M, Metaxas D, Chute D, Tomaszewski J. A novel stochastic combination of 3D texture features for automated segmentation of prostatic adenocarcinoma from high resolution MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2878: 581-591.  1
2002 Madabhushi A, Udupa JK. Evaluating intensity standardization and inhomogeneity correction in magnetic resonance images Bioengineering, Proceedings of the Northeast Conference. 137-138. DOI: 10.1109/NEBC.2002.999503  1
2002 Madabhushi A, Metaxas D. Automatic boundary extraction of ultrasonic breast lesions Proceedings - International Symposium On Biomedical Imaging. 2002: 601-604. DOI: 10.1109/ISBI.2002.1029329  1
2000 Madabhushi A, Aggarwal JK. Using head movement to recognize activity Proceedings - International Conference On Pattern Recognition. 15: 698-701.  1
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