A differential evolution with an orthogonal local search. - Zhenzhen Dai; Aimin Zhou; Guixu Zhang; Sanyi Jiang (IEEE Congress on Evolutionary Computation, 2013)

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)

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)

Two-Stage Approach for Segmenting Gross Tumor Volume in Head and Neck Cancer with CT and PET Imaging. - Simeng Zhu; Zhenzhen Dai; Ning Wen (HECKTOR@MICCAI, 2020)

Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth. - Zhenzhen Dai; Ivan Jambor; Pekka Taimen; Milan Pantelic; Mohamed Elshaikh; Craig Rogers; Otto Ettala; Peter J. Boström; Hannu J. Aronen; Harri Merisaari; Ning Wen (CoRR, 2020)

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)