Scott Doyle - RankMe

40 papers B 1Misc 2Journal 6Unranked 31

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Advancing finite element analysis of osteological structures in biomedical research. Biomedical Applications in Molecular, Structural, and Functional Imaging Matthew A. Wysocki, Scott Doyle
2023	—	`conf`	Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation. Image Perception, Observer Performance, and Technology Assessment Steven A. Lewis, Scott Doyle
2023	—	`conf`	Combining multiple ground truth annotations for segmentation training for oral cavity cancer. Digital and Computational Pathology Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle
2022	—	`conf`	Automatic flagging of AI segmentation errors in computational pathology. Digital and Computational Pathology Rakesh Choudhary, Dhadma Balachandran, Jonathan Folmsbee, Jawaria Rahman, Margaret Brandwein-Weber, Scott Doyle
2022	—	`conf`	Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation. Digital and Computational Pathology Jonathan Folmsbee, Scott Doyle, Rakesh Choudhary, Margaret Brandwein-Weber, Jawaria Rahman
2022	—	`conf`	Generating statistical shape models of osteological structure from cadaveric CT data. Biomedical Applications in Molecular, Structural, and Functional Imaging Matthew A. Wysocki, Scott Doyle
2021	—	`conf`	Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer. Digital Pathology Dhadma Balachandran, Margaret Brandwein-Weber, Jonathan Folmsbee, Scott Doyle
2021	—	`conf`	Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer. Digital Pathology Gouthamrajan Nadarajan, Scott Doyle
2021	—	`conf`	Whole slide semantic segmentation: large scale active learning for digital pathology. Digital Pathology Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle
2020	—	`conf`	Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin. Digital Pathology Gouthamrajan Nadarajan, Scott Doyle
2019	—	`conf`	Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy. Digital Pathology Gouthamrajan Nadarajan, Tyna A. Hope, Dan Wang, Alison M. Cheung, Fiona Ginty, Martin J. Yaffe, Scott Doyle
2019	—	`conf`	Fragile neural networks: the importance of image standardization for deep learning in digital pathology. Digital Pathology Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle
2019	—	`conf`	Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping. Digital Pathology Chen-Yu Sun, Weiguo Liu, Scott Doyle
2019	Misc	`conf`	Workflow Pipeline for Medical Image Data Curation and Sharing. AMIA Sylvester Sakilay, Danne C. Elbers, Scott Doyle, Luis E. Selva, Brett R. Johnson, Nhan V. Do, Peter L. Elkin
2018	J	`jnl`	A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi
2018	—	`conf`	Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer. ISBI Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle
2018	—	`conf`	Role of training data variability on classifier performance and generalizability. Digital Pathology Ryan Therrien, Scott Doyle
2018	Misc	`conf`	The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System. AMIA 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
2017	—	`conf`	Data-driven sampling method for building 3D anatomical models from serial histology. Digital Pathology Snehal Ulhas Salunke, Tova Ablove, Theresa Danforth, John Tomaszewski, Scott Doyle
2017	J	`jnl`	Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. J. Biomed. Informatics Metin N. Gurcan, John Tomaszewski, James A. Overton, Scott Doyle, Alan Ruttenberg, Barry Smith
2016	—	`conf`	Mentor's brain functional connectivity network during robotic assisted surgery mentorship. EMBC Somayeh B. Shafiei, Scott Doyle, Khurshid A. Guru
2016	—	`conf`	Quantification of tumor morphology via 3D histology: application to oral cavity cancers. Digital Pathology Scott Doyle, Margaret Brandwein-Gensler, John Tomaszewski
2012	J	`jnl`	A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Eng. Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2012	J	`jnl`	Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinform. Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi
2011	J	`jnl`	An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinform. Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	—	`conf`	Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology. ISBI Akshay Sridhar, Scott Doyle, Anant Madabhushi
2011	—	`conf`	Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi
2011	J	`jnl`	Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Medical Imaging Graph. Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee
2010	—	`conf`	Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee
2010	—	`conf`	Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis. PRIB Scott Doyle, Anant Madabhushi
2010	—	`conf`	Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman
2010	—	`conf`	Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI Ajay Basavanhally, Scott Doyle, Anant Madabhushi
2009	—	`conf`	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 George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi
2009	—	`conf`	A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Computer-Aided Diagnosis Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009	B	`conf`	WERITAS: weighted ensemble of regional image textures for ASM segmentation. Image Processing Robert Toth, Scott Doyle, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
2008	—	`conf`	Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2007	—	`conf`	Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI Scott Doyle, Mark I. Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2006	—	`conf`	A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) Scott Doyle, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2006	—	`conf`	Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. EMBC Scott Doyle, Carlos Rodriguez, Anant Madabhushi, John Tomaszewski, Michael D. Feldman