3D intracranial artery segmentation using a convolutional autoencoder. - Li Chen 020; Yanjun Xie; Jie Sun; Niranjan Balu; Mahmud Mossa-Basha; Kristi Pimentel; Thomas S. Hatsukami; Jenq-Neng Hwang; Chun Yuan (BIBM, 2017)

A vascular image registration method based on network structure and circuit simulation. - Li Chen 020; Yuxi Lian; Yi Guo 002; Yuanyuan Wang 001; Thomas S. Hatsukami; Kristi Pimentel; Niranjan Balu; Chun Yuan (BMC Bioinform., 2017)

Y-net: 3D intracranial artery segmentation using a convolutional autoencoder. - Li Chen 020; Yanjun Xie; Jie Sun; Niranjan Balu; Mahmud Mossa-Basha; Kristi Pimentel; Thomas S. Hatsukami; Jenq-Neng Hwang; Chun Yuan (CoRR, 2017)

Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation. - Li Chen 020; Gaoang Wang; Niranjan Balu; Mahmud Mossa-Basha; Xihai Zhao; Rui Li 040; Le He; Thomas S. Hatsukami; Jenq-Neng Hwang; Chun Yuan (MLMECH/CVII-STENT@MICCAI, 2019)

Automated Artery Localization and Vessel Wall Segmentation Using Tracklet Refinement and Polar Conversion. - Li Chen 020; Jie Sun; Gador Canton; Niranjan Balu; Daniel S. Hippe; Xihai Zhao; Rui Li 040; Thomas S. Hatsukami; Jenq-Neng Hwang; Chun Yuan (IEEE Access, 2020)

Deep Open Snake Tracker for Vessel Tracing. - Li Chen 020; Wenjin Liu; Niranjan Balu; Mahmud Mossa-Basha; Thomas S. Hatsukami; Jenq-Neng Hwang; Chun Yuan (MICCAI (6), 2021)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation. - Xin Wang 113; Yin Guo; Kaiyu Zhang; Niranjan Balu; Mahmud Mossa-Basha; Linda G. Shapiro; Chun Yuan (IPMI (1), 2025)

Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation. - Xin Wang; Yin Guo; Jiamin Xia; Kaiyu Zhang; Niranjan Balu; Mahmud Mossa-Basha; Linda G. Shapiro; Chun Yuan (CoRR, 2025)