Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation. - Peter D. Chang (BrainLes@MICCAI, 2016)

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. - Richard Ha; Peter D. Chang; Jenika Karcich; Simukayi Mutasa; Reza Fardanesh; Ralph T. Wynn; Michael Z. Liu; Sachin Jambawalikar (J. Digit. Imaging, 2018)

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling. - Simukayi Mutasa; Peter D. Chang; Carrie Ruzal-Shapiro; Rama Ayyala (J. Digit. Imaging, 2018)

Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear. - Peter D. Chang; Tony T. Wong; Michael J. Rasiej (J. Digit. Imaging, 2019)

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. - Richard Ha; Christine Chin; Jenika Karcich; Michael Z. Liu; Peter D. Chang; Simukayi Mutasa; Eduardo Pascual Van Sant; Ralph T. Wynn; Eileen Connolly; Sachin Jambawalikar (J. Digit. Imaging, 2019)

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. - Richard Ha; Peter D. Chang; Eralda Mema; Simukayi Mutasa; Jenika Karcich; Ralph T. Wynn; Michael Z. Liu; Sachin Jambawalikar (J. Digit. Imaging, 2019)

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. - Richard Ha; Simukayi Mutasa; Jenika Karcich; Nishant Gupta; Eduardo Pascual Van Sant; John Nemer; Mary Sun; Peter D. Chang; Michael Z. Liu; Sachin Jambawalikar (J. Digit. Imaging, 2019)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. - Joseph N. Stember; Haydar Celik; Elizabeth A. Krupinski; Peter D. Chang; Simukayi Mutasa; Bradford J. Wood; A. Lignelli; Gul Moonis; Lawrence H. Schwartz; Sachin Jambawalikar; Ulas Bagci (J. Digit. Imaging, 2019)

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. - Joseph N. Stember; Peter D. Chang; Danielle M. Stember; Michael Z. Liu; Jack Grinband; Christopher G. Filippi; Philip Meyers; Sachin Jambawalikar (J. Digit. Imaging, 2019)

SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement. - Yeeleng Scott Vang; Yingxin Cao; Peter D. Chang; Daniel S. Chow; Alexander Ulrich Brandt; Friedemann Paul; Michael Scheel; Xiaohui Xie (ISBI, 2020)

Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. - Su Kara; Jake Y. Akers; Peter D. Chang (J. Digit. Imaging, 2021)

DeepATLAS: One-Shot Localization for Biomedical Data. - Peter D. Chang (CoRR, 2024)

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. - Jeffrey D. Rudie; Hui-Ming Lin; Robyn L. Ball; Sabeena Jalal; Luciano M. Prevedello; Savvas Nicolaou; Brett S. Marinelli; Adam E. Flanders; Kirti Magudia; George Shih; Melissa A. Davis; John Mongan; et al. (CoRR, 2024)