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Scott Doyle, Ph.D. - Publications

Affiliations: 
2011 Graduate School - New Brunswick Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Biomedical Engineering
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30 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
2022 Folmsbee J, Zhang L, Lu X, Rahman J, Gentry J, Conn B, Vered M, Roy P, Gupta R, Lin D, Samankan S, Dhorajiva P, Peter A, Wang M, Israel A, ... ... Doyle S, et al. Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma. Journal of Pathology Informatics. 13: 100146. PMID 36268093 DOI: 10.1016/j.jpi.2022.100146  0.321
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  0.717
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  0.758
2017 Salunke SU, Ablove T, Danforth T, Tomaszewski J, Doyle S. Data-driven sampling method for building 3D anatomical models from serial histology Proceedings of Spie. 10140: 1014005. DOI: 10.1117/12.2255800  0.32
2016 Gurcan MN, Tomaszewski J, Overton JA, Doyle S, Ruttenberg A, Smith B. Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using hot spot detection problem. Journal of Biomedical Informatics. PMID 28003147 DOI: 10.1016/J.Jbi.2016.12.006  0.519
2016 Doyle S, Brandwein-Gensler M, Tomaszewski J. Quantification of tumor morphology via 3D histology: application to oral cavity cancers Proceedings of Spie. 9791: 979112. DOI: 10.1117/12.2217015  0.376
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  0.602
2015 Smith B, Arabandi S, Brochhausen M, Calhoun M, Ciccarese P, Doyle S, Gibaud B, Goldberg I, Kahn CE, Overton J, Tomaszewski J, Gurcan M. Biomedical imaging ontologies: A survey and proposal for future work. Journal of Pathology Informatics. 6: 37. PMID 26167381 DOI: 10.4103/2153-3539.159214  0.38
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  0.783
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  0.775
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  0.577
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  0.676
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  0.524
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  0.78
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  0.593
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  0.55
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  0.791
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  0.764
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  0.789
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  0.454
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  0.789
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  0.668
2009 Toth R, Doyle S, Rosen M, Kalyanpur A, Pungavkar S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Madabhushi A. WERITAS - Weighted ensemble of regional image textures for ASM segmentation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.812473  0.64
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  0.618
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  0.792
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  0.78
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  0.573
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  0.55
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  0.606
2006 Lloyd A, Jonge PvHd, Doyle S, Walker M, Cohen C. Pcn36 Developing Health State Descriptions For Metastatic Colorectal Cancer: Qualitative Study Value in Health. 9. DOI: 10.1016/S1098-3015(10)64660-8  0.317
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