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Vikash Gupta
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2020 – today
- 2024
- [j4]Kendall Schmidt
, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [i14]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - 2023
- [c12]Conrad T. Testagrose
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB 2023: 25:1-25:6 - [i13]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) - [i12]M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister:
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR abs/2311.14570 (2023) - 2022
- [c11]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 - [i11]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) - [i10]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (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
- [j3]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) - [c10]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
- [j2]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) - [j1]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) - [c9]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 - [c8]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]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) - [i6]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) - [i5]Vikash Gupta
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i4]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
- [i3]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) - [i2]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
- [c7]Vikash Gupta, Sophia I. Thomopoulos
FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. ISBI 2018: 708-711 - [c6]Emily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S. C. Wade
ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. ISBI 2018: 1386-1389 - 2017
- [c5]Vikash Gupta, Sophia I. Thomopoulos, Faisal Rashid, Paul M. Thompson:
FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers. MICCAI (1) 2017: 548-555 - [c4]Mark S. Shiroishi, Vikash Gupta, Bavrina Bigjahan, Steven Y. Cen, Faisal Rashid, Darryl H. Hwang
Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans. SIPAIM 2017: 105720G - 2016
- [c3]Vikash Gupta, Gautam Prasad, Paul M. Thompson:
A Volumetric Conformal Mapping Approach for Clustering White Matter Fibers in the Brain. SeSAMI@MICCAI 2016: 3-14 - 2013
- [c2]Vikash Gupta, Nicholas Ayache, Xavier Pennec
Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior. MICCAI (3) 2013: 477-484 - [i1]Vikash Gupta
Domain Mapping for Volumetric Parameterization using Harmonic Functions. CoRR abs/1310.6894 (2013) - 2011
- [c1]Furui Wang, Milind Shastri, Christopher L. Jones, Vikash Gupta, Christian Osswald, Xuan Kang, Derek G. Kamper, Nilanjan Sarkar:
Design and control of an actuated thumb exoskeleton for hand rehabilitation following stroke. ICRA 2011: 3688-3693
Coauthor Index
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