Scott Doyle

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 19

Top Topics

Medical Image Data

Top Venues

Medical Imaging: Digital Pathology

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

Steven A. Lewis, Scott Doyle
Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Matthew A. Wysocki, Scott Doyle
Advancing finite element analysis of osteological structures in biomedical research. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2023)
Matthew A. Wysocki, Scott Doyle
Generating statistical shape models of osteological structure from cadaveric CT data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle
Whole slide semantic segmentation: large scale active learning for digital pathology. Medical Imaging: Digital Pathology (2021)
Dhadma Balachandran, Margaret Brandwein-Weber, Jonathan Folmsbee, Scott Doyle
Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer. Medical Imaging: Digital Pathology (2021)
Gouthamrajan Nadarajan, Scott Doyle
Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer. Medical Imaging: Digital Pathology (2021)
Gouthamrajan Nadarajan, Scott Doyle
Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin. Medical Imaging: Digital Pathology (2020)
Sylvester Sakilay, Danne C. Elbers, Scott Doyle, Luis E. Selva, Brett R. Johnson, Nhan V. Do, Peter L. Elkin
Workflow Pipeline for Medical Image Data Curation and Sharing. AMIA (2019)
Chen-Yu Sun, Weiguo Liu, Scott Doyle
Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping. Medical Imaging: Digital Pathology (2019)
Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle
Fragile neural networks: the importance of image standardization for deep learning in digital pathology. Medical Imaging: Digital Pathology (2019)
Gouthamrajan Nadarajan, Tyna A. Hope, Dan Wang, Alison Cheung, Fiona Ginty, Martin J. Yaffe, Scott Doyle
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy. Medical Imaging: Digital Pathology (2019)
Ryan Therrien, Scott Doyle
Role of training data variability on classifier performance and generalizability. Medical Imaging: Digital Pathology (2018)
Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle
Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer. ISBI (2018)
Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Danne C. Elbers, Frank Meng, Scott Doyle, Sylvester Sakilay, Sung Feng-Chi, Brett R. Johnson, Robert B. Hall, Nathanael Fillmore, Daniel Chen, Alexander D. Diehl, Samuel Ajjarapu, Karen E. Pierce-Murray, Corri DeDomenico, Colleen Shannon, Sara Schiller, Nhan V. Do, Peter L. Elkin, Louis D. Fiore, Mary T. Brophy
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System. AMIA (2018)
Snehal Ulhas Salunke, Tova Ablove, Theresa Danforth, John Tomaszewski, Scott Doyle
Data-driven sampling method for building 3D anatomical models from serial histology. Medical Imaging: Digital Pathology (2017)
Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics 66 (2017)
Somayeh B. Shafiei, Scott Doyle, Khurshid A. Guru
Mentor's brain functional connectivity network during robotic assisted surgery mentorship. EMBC (2016)
Scott Doyle, Margaret Brandwein-Gensler, John Tomaszewski
Quantification of tumor morphology via 3D histology: application to oral cavity cancers. Medical Imaging: Digital Pathology (2016)
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. Eng. 59 (5) (2012)
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 Bioinform. 13 (2012)
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. Comput. Medical Imaging Graph. 35 (7-8) (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)
Akshay Sridhar, Scott Doyle, Anant Madabhushi
Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology. ISBI (2011)
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 Bioinform. 12 (2011)
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)
Ajay Basavanhally, Scott Doyle, Anant Madabhushi
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI (2010)
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)
Scott Doyle, Anant Madabhushi
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis. PRIB (2010)
Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John E. Tomaszewski, Anant Madabhushi
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Medical Imaging: Computer-Aided Diagnosis (2009)
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)
Robert Toth, Scott Doyle, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
WERITAS: weighted ensemble of regional image textures for ASM segmentation. Medical Imaging: Image Processing (2009)
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)
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)
Scott Doyle, Mark I. Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI (2007)
Scott Doyle, Carlos Rodriguez, Anant Madabhushi, John E. Tomaszewski, Michael D. Feldman
Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. EMBC (2006)
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)