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)

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)

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. - Michael Z. Liu; Rami Vanguri; Simukayi Mutasa; Richard Ha; Yu-Cheng Liu 003; Terry Button; Sachin Jambawalikar (Comput. Biol. Medicine, 2020)

3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. - Yu-Cheng Liu 003; Yulin Liu; Rami Vanguri; Daniel Litwiller; Michael Z. Liu; Hao-Yun Hsu; Richard Ha; Hiram Shaish; Sachin Jambawalikar (J. Digit. Imaging, 2021)

Deep learning prediction of axillary lymph node status using ultrasound images. - Shawn Sun; Simukayi Mutasa; Michael Z. Liu; John Nemer; Mary Sun; Maham Siddique; Elise Desperito; Sachin Jambawalikar; Richard S. Ha (Comput. Biol. Medicine, 2022)