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)

Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. - Sema Candemir; Xuan V. Nguyen; Luciano M. Prevedello; Matthew T. Bigelow; Richard D. White; Barbaros S. 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)

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)

Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training. - Engin Dikici; Xuan V. Nguyen; Matthew T. Bigelow; John L. Ryu; Luciano M. Prevedello (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)

Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI. - Engin Dikici; Xuan V. Nguyen; Matthew T. Bigelow; Luciano M. Prevedello (Comput. Medical Imaging Graph., 2022)

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. - Sema Candemir; Robert Moranville; Kelvin A. Wong; Warren Campbell; Matthew T. Bigelow; Luciano M. Prevedello; Mina S. Makary (J. Digit. Imaging, 2023)