Richard D. White

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 24

Top Topics

Convolutional Neural Network

Medical Imaging

Top Venues

J. Digit. Imaging

Int. J. Comput. Assist. Radiol. Surg.

Publications

Barbaros Selnur Erdal, Vikash Gupta, Mutlu Demirer, Kim H. Fair, Richard D. White, Jeff Blair, Barbara Deichert, Laurie Lafleur, Ming Melvin Qin, David Bericat, Brad W. Genereaux
Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management. CoRR (2023)
Conrad T. Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB (2023)
Vikash Gupta, Mutlu Demirer, Robert W. Maxwell, Richard D. White, Barbaros Selnur Erdal
A multi-reconstruction study of breast density estimation using Deep Learning. CoRR (2022)
Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. BIBM (2022)
Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR (2022)
Mutlu Demirer, Richard D. White, Vikash Gupta, Ronnie A. Sebro, Barbaros S. Erdal
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. CoRR (2021)
Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. J. Digit. Imaging 34 (3) (2021)
Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal
Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. DART/FAIR@MICCAI (2021)
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI (2020)
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. Comput. Medical Imaging Graph. 83 (2020)
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR (2020)
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. J. Digit. Imaging 33 (2) (2020)
Engin Dikici, John L. Ryu, Mutlu Demirer, Matthew T. Bigelow, Richard D. White, Wayne Slone, Barbaros Selnur Erdal, Luciano M. Prevedello
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application. CoRR (2020)
Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR (2020)
Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello, Matthew T. Bigelow, Richard D. White, Barbaros S. Erdal
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. CoRR (2020)
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. ISBI (2020)
Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use. CoRR (2020)
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. CoRR (2019)
Barbaros S. Erdal, Mutlu Demirer, Chiemezie C. Amadi, Gehan F. M. Ibrahim, Thomas P. O'Donnell, Rainer Grimmer, Andreas Wimmer, Kevin J. Little, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Richard D. White
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? CoRR (2019)
Barbaros S. Erdal, Luciano M. Prevedello, Songyue Qian, Mutlu Demirer, Kevin J. Little, John Ryu, Thomas O'Donnell, Richard D. White
Radiology and Enterprise Medical Imaging Extensions (REMIX). J. Digit. Imaging 31 (1) (2018)
Lynne McCormick, Jonathan R. Weir-McCall, Stephen L. Gandy, Richard D. White, Andrew McNeil, Emanuele Trucco, Graeme Houston
Mapping of arterial location for the design of automated identification and analysis algorithms in whole body MRA. EMBC (2015)
Martin A. Rube, Fabiola Fernández-Gutiérrez, Benjamin F. Cox, Andrew B. Holbrook, Graeme Houston, Richard D. White, Helen McLeod, Mahsa Fatahi, Andreas Melzer
Preclinical feasibility of a technology framework for MRI-guided iliac angioplasty. Int. J. Comput. Assist. Radiol. Surg. 10 (5) (2015)
Fabiola Fernández-Gutiérrez, Santiago Martinez, Martin A. Rube, Benjamin F. Cox, Mahsa Fatahi, Kenneth C. Scott-Brown, Graeme Houston, Helen McLeod, Richard D. White, Karen French, Mariana Gueorguieva, Erwin Immel, Andreas Melzer
Comparative ergonomic workflow and user experience analysis of MRI versus fluoroscopy-guided vascular interventions: an iliac angioplasty exemplar case study. Int. J. Comput. Assist. Radiol. Surg. 10 (10) (2015)
Thomas O'Donnell, Engin Dikici, Randolph Setser, Richard D. White
Tracking and Analysis of Cine-Delayed Enhancement MR. MICCAI (2) (2005)
Engin Dikici, Thomas O'Donnell, Randolph Setser, Richard D. White
Quantification of Delayed Enhancement MR Images. MICCAI (1) (2004)
Bernhard Sturm, Kimerly A. Powell, Sandra Simon Halliburton, Richard D. White
Image Fusion of 4D Cardiac CTA and MR Images. AIPR (2001)
Bala Gopakumaran, John H. Petre, Bernhard Sturm, Richard D. White, Paul A. Murray
Estimation of current leakage in left and right ventricular conductance volumetry using a dynamic finite element model. IEEE Trans. Biomed. Eng. 47 (11) (2000)
Thomas O'Donnell, Shmuel Aharon, Alok Gupta, Gareth Funka-Lea, Sandra Simon Halliburton, Richard D. White
Multi-Modality Model-Based Registration in the Cardiac Domain. CVPR (2000)
Richard D. White
Foundations of logic programming: John Wylie Lloyd: Springer-Verlag, Berlin, 1987, XII + 212 pp., Hard cover, DM 88.00. Artif. Intell. Medicine 1 (3) (1989)
Richard D. White
Expert system applications: Leonard Bolc and Michael J. Coombs (eds.): Springer-Verlag, Berlin, 1988, VII + 471 pp., 84 figures, 12 tables, Hard cover, DM 134.00. Artif. Intell. Medicine 1 (3) (1989)