Automatic Brain Tumor Segmentation and Overall Survival Prediction Using Machine Learning Algorithms. - Eric Nathan Carver; Chang Liu; Weiwei Zong; Zhenzhen Dai; James M. Snyder; Joon Lee; Ning Wen (BrainLes@MICCAI (2), 2018)

A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. - Weiwei Zong; Joon Lee; Chang Liu; Eric Nathan Carver; Aharon Feldman; Branislava Janic; Mohamed Elshaikh; Milan Pantelic; David Hearshen; Indrin J. Chetty; Benjamin Movsas; Ning Wen (CoRR, 2019)

Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN. - Zhenzhen Dai; Eric Nathan Carver; Chang Liu; Joon Lee; Aharon Feldman; Weiwei Zong; Milan Pantelic; Mohamed Elshaikh; Ning Wen (CoRR, 2019)

Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients. - Eric Nathan Carver; Zhenzhen Dai; Evan Liang; James M. Snyder; Ning Wen (Frontiers Comput. Neurosci., 2020)

Brain Tumor Segmentation Using Non-local Mask R-CNN and Single Model Ensemble. - Zhenzhen Dai; Ning Wen; Eric Nathan Carver (BrainLes@MICCAI (1), 2021)

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. - Weiwei Zong; Eric Nathan Carver; Simeng Zhu; Eric Schaff; Daniel Chapman; Joon Lee; Hassan Bagher-Ebadian; Indrin J. Chetty; Benjamin Movsas; Winston Wen; Tarik Alafif; Xiangyun Zong (CoRR, 2022)