Scott Doyle

Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi: Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinformatics 13: 282 (2012)

Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Engineering 59(5): 1205-1218 (2012)

Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinformatics 12: 424 (2011)

Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee: Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comp. Med. Imag. and Graph. 35(7-8): 506-514 (2011)

Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi: Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI 2011: 715-718

Akshay Sridhar, Scott Doyle, Anant Madabhushi: Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology. ISBI 2011: 1897-1900

Ajay Basavanhally, Scott Doyle, Anant Madabhushi: Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI 2010: 229-232

Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman: Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI 2010: 1313-1316

Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee: Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI 2010: 1415-1418

Scott Doyle, Anant Madabhushi: Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis. PRIB 2010: 313-324

George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi: 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. ISBI 2009: 77-80

Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski: Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI 2008: 284-287

Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski: Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI 2008: 496-499

Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski: Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI 2007: 1284-1287

Scott Doyle, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski: A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) 2006: 504-511