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Richard D. White
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2020 – today
- 2023
- [c10]Conrad T. Testagrose
, Vikash Gupta
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB 2023: 25:1-25:6 - [i11]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 abs/2311.10840 (2023) - 2022
- [c9]Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. BIBM 2022: 3399-3406 - [i10]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 abs/2202.08238 (2022) - [i9]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 Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j10]Richard D. White
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): 554-571 (2021) - [c8]Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello
Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. DART/FAIR@MICCAI 2021: 239-250 - [i8]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 abs/2108.11954 (2021) - 2020
- [j9]Sema Candemir
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: 101721 (2020) - [j8]Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little
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): 431-438 (2020) - [j7]Engin Dikici
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J. Biomed. Health Informatics 24(10): 2883-2893 (2020) - [c7]Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. ISBI 2020: 1526-1529 - [c6]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191 - [i7]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 abs/2002.10034 (2020) - [i6]Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta
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 abs/2008.04802 (2020) - [i5]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 abs/2009.01871 (2020) - [i4]Vikash Gupta
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i3]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 abs/2009.13580 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1908.05667 (2019) - [i1]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 abs/1911.13219 (2019) - 2018
- [j6]Barbaros S. Erdal, Luciano M. Prevedello
Radiology and Enterprise Medical Imaging Extensions (REMIX). J. Digit. Imaging 31(1): 91-106 (2018) - 2015
- [j5]Martin A. Rube, Fabiola Fernández-Gutiérrez, Benjamin F. Cox
Preclinical feasibility of a technology framework for MRI-guided iliac angioplasty. Int. J. Comput. Assist. Radiol. Surg. 10(5): 637-650 (2015) - [j4]Fabiola Fernández-Gutiérrez, Santiago Martinez
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): 1639-1650 (2015) - [c5]Lynne McCormick, Jonathan R. Weir-McCall
Mapping of arterial location for the design of automated identification and analysis algorithms in whole body MRA. EMBC 2015: 7925-7928
2000 – 2009
- 2005
- [c4]Thomas O'Donnell, Engin Dikici, Randolph Setser, Richard D. White
Tracking and Analysis of Cine-Delayed Enhancement MR. MICCAI (2) 2005: 692-700 - 2004
- [c3]Engin Dikici, Thomas O'Donnell, Randolph Setser, Richard D. White:
Quantification of Delayed Enhancement MR Images. MICCAI (1) 2004: 250-257 - 2001
- [c2]Bernhard Sturm, Kimerly A. Powell, Sandra Simon Halliburton, Richard D. White:
Image Fusion of 4D Cardiac CTA and MR Images. AIPR 2001: 21-24 - 2000
- [j3]Bala Gopakumaran, John H. Petre, Bernhard Sturm, Richard D. White
Estimation of current leakage in left and right ventricular conductance volumetry using a dynamic finite element model. IEEE Trans. Biomed. Eng. 47(11): 1476-1486 (2000) - [c1]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: 2790-2791
1980 – 1989
- 1989
- [j2]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): 146 (1989) - [j1]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): 147 (1989)
Coauthor Index
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