Design and control of an actuated thumb exoskeleton for hand rehabilitation following stroke. - Furui Wang; Milind Shastri; Christopher L. Jones; Vikash Gupta; Christian Osswald; Xuan Kang; Derek G. Kamper; Nilanjan Sarkar (ICRA, 2011)

Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior. - Vikash Gupta; Nicholas Ayache; Xavier Pennec (MICCAI (3), 2013)

Domain Mapping for Volumetric Parameterization using Harmonic Functions. - Vikash Gupta; Hari K. Voruganti; Bhaskar Dasgupta (CoRR, 2013)

A Volumetric Conformal Mapping Approach for Clustering White Matter Fibers in the Brain. - Vikash Gupta; Gautam Prasad; Paul M. Thompson (SeSAMI@MICCAI, 2016)

FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers. - Vikash Gupta; Sophia I. Thomopoulos; Faisal Rashid; Paul M. Thompson (MICCAI (1), 2017)

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. - Mark S. Shiroishi; Vikash Gupta; Bavrina Bigjahan; Steven Y. Cen; Faisal Rashid; Darryl H. Hwang; Alexander Lerner; Orest B. Boyko; Chia-Shang Jason Liu; Meng Law; Paul M. Thompson; Neda Jahanshad (SIPAIM, 2017)

ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. - Emily L. Dennis; Elisabeth A. Wilde; Mary R. Newsome; Randall S. Scheibel; Maya Troyanskaya; Carmen Velez; Benjamin S. C. Wade; Ann Marie Drennon; Gerald E. York; Erin D. Bigler; Tracy J. Abildskov; Brian A. Taylor; et al. (ISBI, 2018)

FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. - Vikash Gupta; Sophia I. Thomopoulos; Conor K. Corbin; Faisal Rashid; Paul M. Thompson (ISBI, 2018)

Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? - 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 (CoRR, 2019)

Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. - Sema Candemir; Richard D. White; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Luciano M. Prevedello; Barbaros S. Erdal (CoRR, 2019)

Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. - Vikash Gupta; Mutlu Demirer; Matthew T. Bigelow; Sarah M. Yu; Joseph S. Yu; Luciano M. Prevedello; Richard D. White; Barbaros S. Erdal (ISBI, 2020)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. - Sema Candemir; Richard D. White; Mutlu Demirer; Vikash Gupta; Matthew T. Bigelow; Luciano M. Prevedello; Barbaros S. Erdal (Comput. Medical Imaging Graph., 2020)

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. - Vikash Gupta; Holger Roth; Varun Buch; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Richard D. White; Dong Yang 005; Olga Laur; Brian B. Ghoshhajra; Ittai Dayan; Daguang Xu; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application. - Vikash Gupta; Clayton Taylor; Sarah Bonnet; Luciano M. Prevedello; Jeffrey Hawley; Richard D. White; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

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. - 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 (J. Digit. Imaging, 2020)

Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. - Vikash Gupta; Clayton Taylor; Sarah Bonnet; Luciano M. Prevedello; Jeffrey Hawley; Richard D. White; Mona G. Flores; Barbaros Selnur Erdal (DART/FAIR@MICCAI, 2021)

Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. - Mutlu Demirer; Richard D. White; Vikash Gupta; Ronnie A. Sebro; Barbaros S. Erdal (CoRR, 2021)

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. - 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 (J. Digit. Imaging, 2021)

Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. - Conrad Testagrose; Vikash Gupta; Barbaros S. Erdal; Richard D. White; Robert W. Maxwell; Xudong Liu; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BIBM, 2022)

A multi-reconstruction study of breast density estimation using Deep Learning. - Vikash Gupta; Mutlu Demirer; Robert W. Maxwell; Richard D. White; Barbaros Selnur Erdal (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - 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; et al. (CoRR, 2022)

Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. - Conrad T. Testagrose; Vikash Gupta; Barbaros S. Erdal; Richard D. White; Robert W. Maxwell; Xudong Liu; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BCB, 2023)

Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management. - 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 (CoRR, 2023)

RAISE - Radiology AI Safety, an End-to-end lifecycle approach. - 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; et al. (CoRR, 2023)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)