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Scott Doyle
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Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
S Naik, S Doyle, S Agner, A Madabhushi, M Feldman, J Tomaszewski
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
4582008
Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features
S Doyle, S Agner, A Madabhushi, M Feldman, J Tomaszewski
2008 5th IEEE international symposium on biomedical imaging: from nano to …, 2008
3972008
Automated grading of prostate cancer using architectural and textural image features
S Doyle, M Hwang, K Shah, A Madabhushi, M Feldman, J Tomaszeweski
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007
3382007
A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies
S Doyle, M Feldman, J Tomaszewski, A Madabhushi
IEEE transactions on biomedical engineering 59 (5), 1205-1218, 2010
3152010
A boosting cascade for automated detection of prostate cancer from digitized histology
S Doyle, A Madabhushi, M Feldman, J Tomaszeweski
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006
1682006
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
A Madabhushi, S Agner, A Basavanhally, S Doyle, G Lee
Computerized medical imaging and graphics 35 (7-8), 506-514, 2011
1662011
Gland segmentation and computerized gleason grading of prostate histology by integrating low-, high-level and domain specific information
S Naik, S Doyle, M Feldman, J Tomaszewski, A Madabhushi
MIAAB workshop, 1-8, 2007
1592007
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer
S Doyle, MD Feldman, N Shih, J Tomaszewski, A Madabhushi
BMC bioinformatics 13, 1-15, 2012
1342012
Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer
J Whitney, G Corredor, A Janowczyk, S Ganesan, S Doyle, ...
BMC cancer 18, 1-15, 2018
1022018
Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer
J Folmsbee, X Liu, M Brandwein-Weber, S Doyle
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
972018
An active learning based classification strategy for the minority class problem: application to histopathology annotation
S Doyle, J Monaco, M Feldman, J Tomaszewski, A Madabhushi
BMC bioinformatics 12, 1-14, 2011
902011
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images
A Janowczyk, S Doyle, H Gilmore, A Madabhushi
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
742018
Malignancy diagnosis using content-based image retreival of tissue histopathology
A Madabhushi, S Doyle, MD Feldman, JE Tomaszewski
US Patent 8,280,132, 2012
612012
Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach
S Doyle, C Rodriguez, A Madabhushi, J Tomaszeweski, M Feldman
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
582006
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging
G Alexe, J Monaco, S Doyle, A Basavanhally, A Reddy, M Seiler, ...
Experimental Biology and Medicine 234 (8), 860-879, 2009
522009
Role of training data variability on classifier performance and generalizability
R Therrien, S Doyle
Medical Imaging 2018: Digital Pathology 10581, 58-70, 2018
502018
Integrated diagnostics: a conceptual framework with examples
A Madabhushi, S Doyle, G Lee, A Basavanhally, J Monaco, S Masters, ...
Clinical chemistry and laboratory medicine 48 (7), 989-998, 2010
502010
Biomedical imaging ontologies: A survey and proposal for future work
B Smith, S Arabandi, M Brochhausen, M Calhoun, P Ciccarese, S Doyle, ...
Journal of pathology informatics 6 (1), 37, 2015
472015
Gland segmentation and gleason grading of prostate histology by integrating low-, high-level and domain specific information
S Naik, S Doyle, A Madabhushi, J Tomaszewski, M Feldman
Workshop on Microscopic Image Analysis with Applications in Biology 180, 2007
452007
A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence …
G Lee, S Doyle, J Monaco, A Madabhushi, MD Feldman, SR Master, ...
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
432009
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