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Ajay N. Basavanhally, Ph.D. - Publications

Affiliations: 
2014 Biomedical Engineering Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Biomedical Engineering, Pathology, Oncology
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28 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
2020 McNamara G, Lucas J, Beeler JF, Basavanhally A, Lee G, Hedvat CV, Baxi VA, Locke D, Borowsky A, Levenson R. New Technologies to Image Tumors. Cancer Treatment and Research. 180: 51-94. PMID 32215866 DOI: 10.1007/978-3-030-38862-1_2  0.354
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  0.655
2018 Verma N, Harding D, Mohammadi A, Goldstein LJ, Gilmore HL, Feldman MD, Tomaszewski J, Basavanhally A, Lloyd M, Fu P, Ganesan S, Davidson NE, Madabhushi A, Monaco J. Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197. Journal of Clinical Oncology. 36: 540-540. DOI: 10.1200/Jco.2018.36.15_Suppl.540  0.626
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  0.695
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  0.731
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  0.75
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  0.493
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  0.628
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  0.6
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  0.648
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  0.617
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  0.682
2013 Madabhushi A, Doyle S, Basavanhally A, Gilmore H, Harris L, Shih N, Mies C, Feldman M, Tomaszewski J, Ganesan S. Abstract P4-03-04: Computer extracted image measurements of nuclear shape and texture from H&E images appear to stratify low and high risk ER+ breast cancers assessed via oncotype DX Cancer Research. 73. DOI: 10.1158/0008-5472.Sabcs13-P4-03-04  0.723
2013 Madabhushi A, Basavanhally A, Doyle S, Wan T, Singanamalli A, Thompson C, Gilmore H, Plecha D, Harris L. Abstract P2-03-01: Computer extracted image texture features on T2-weighted MRI appear to correlate with nuclear morphologic descriptors from H&E-stained histopathology in estrogen receptor positive breast cancers Cancer Research. 73. DOI: 10.1158/0008-5472.Sabcs13-P2-03-01  0.704
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  0.641
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  0.711
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  0.785
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  0.633
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  0.678
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  0.751
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  0.692
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  0.781
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  0.695
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  0.795
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  0.74
2009 Ganesan S, Madabhushi A, Basavanhally A, Xu J, Bhanot G, Barnard N, Toppmeyer D. Computerized Histologic Image-Based Risk Score (IbRiS) Classifier for ER+ Breast Cancer. Cancer Research. 69: 3046-3046. DOI: 10.1158/0008-5472.Sabcs-09-3046  0.677
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  0.663
2007 Jenkins MW, Chughtai OQ, Basavanhally AN, Watanabe M, Rollins AM. In vivo gated 4D imaging of the embryonic heart using optical coherence tomography. Journal of Biomedical Optics. 12: 030505. PMID 17614708 DOI: 10.1117/1.2747208  0.332
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