Radiology and Enterprise Medical Imaging Extensions (REMIX). - Barbaros S. Erdal; Luciano M. Prevedello; Songyue Qian; Mutlu Demirer; Kevin J. Little; John Ryu; Thomas O'Donnell; Richard D. White (J. Digit. Imaging, 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)

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)

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)

Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. - Engin Dikici; John L. Ryu; Mutlu Demirer; Matthew T. Bigelow; Richard D. White; Wayne Slone; Barbaros Selnur Erdal; Luciano M. Prevedello (IEEE J. Biomed. Health Informatics, 2020)

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)

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)

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)