Deep learning-based detection of intravenous contrast in computed tomography scans. - Zezhong Ye; Jack M. Qian; Ahmed Hosny; Roman Zeleznik; Deborah Plana; Jirapat Likitlersuang; Zhongyi Zhang; Raymond H. Mak; Hugo J. W. L. Aerts; Benjamin H. Kann (CoRR, 2021)

Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans. - Arnav Jain; Julia Huang; Yashwanth Ravipati; Gregory Cain; Aidan Boyd; Zezhong Ye; Benjamin H. Kann (HECKTOR@MICCAI, 2022)

Deep Learning for Segmentation-based Hepatic Steatosis Detection on Open Data: A Multicenter International Validation Study. - Zhongyi Zhang; Guixia Li; Ziqiang Wang; Feng Xia 009; Ning Zhao; Huibin Nie; Zezhong Ye; Joshua Lin; Yiyi Hui; Xiangchun Liu (CoRR, 2022)

SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations. - Anna Zapaishchykova; Divyanshu Tak; Aidan Boyd; Zezhong Ye; Hugo J. W. L. Aerts; Benjamin H. Kann (Softw. Impacts, 2023)

SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People. - Anna Zapaishchykova; Benjamin H. Kann; Divyanshu Tak; Zezhong Ye; Daphne A. Haas-Kogan; Hugo J. W. L. Aerts (DGM4MICCAI@MICCAI, 2024)

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy. - Yining Zha; Benjamin H. Kann; Zezhong Ye; Anna Zapaishchykova; John He; Shu-Hui Hsu; Jonathan E. Leeman; Kelly J. Fitzgerald; David E. Kozono; Raymond H. Mak; Hugo J. W. L. Aerts (CoRR, 2024)

TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood. - Markiian Mandzak; Elvira Yang; Anna Zapaishchykova; Yu-Hui Chen; Lucas Heilbroner; John Zielke; Divyanshu Tak; Reza Mojahed-Yazdi; Francesca Romana Mussa; Zezhong Ye; Sridhar Vajapeyam; Viviana Benitez; et al. (CoRR, 2025)