Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. - Ruiming Cao; Xinran Zhong; Fabien Scalzo; Steven S. Raman; Kyung Hyun Sung (ICCV Workshops, 2019)

Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. - Ruiming Cao; Xinran Zhong; Sepideh Shakeri; Amirhossein Mohammadian Bajgiran; Sohrab Afshari Mirak; Dieter Enzmann; Steven S. Raman; Kyung Hyun Sung (ISBI, 2019)

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. - Yongkai Liu; Kyung Hyun Sung; Guang Yang 006; Sohrab Afshari Mirak; Melina Hosseiny; Afshin Azadikhah; Xinran Zhong; Robert E. Reiter; Yeejin Lee; Steven S. Raman (IEEE Access, 2019)

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer. - Jie Fu; Xinran Zhong; Ning Li; Ritchell Van Dams; John Lewis; Kyung Hyun Sung; Ann C. Raldow; Jing Jin; X. Sharon Qi (CoRR, 2019)

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. - Ruiming Cao; Amirhossein Mohammadian Bajgiran; Sohrab Afshari Mirak; Sepideh Shakeri; Xinran Zhong; Dieter Enzmann; Steven S. Raman; Kyung Hyun Sung (IEEE Trans. Medical Imaging, 2019)

Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. - Maryam Mashayekhi; Itzel Ramirez Tapia; Anjali Balagopal; Xinran Zhong; Azar Sadeghnejad-Barkousaraie; Rafe McBeth; Mu-Han Lin; Steve B. Jiang; Dan Nguyen (CoRR, 2021)

A cloud-edge-terminal-based robotic system for airport runway inspection. - Zhongcheng Gui; Xinran Zhong; Yuchen Wang; Tangjie Xiao; Yongjun Deng; Hui Yang; Rui Yang (Ind. Robot, 2021)

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer. - Anjali Balagopal; Michael Dohopolski; Young Suk Kwon; Steven Montalvo; Howard E. Morgan; Ti Bai; Dan Nguyen; Xiao Liang; Xinran Zhong; Mu-Han Lin; Neil Desai; Steve B. Jiang (CoRR, 2023)