Semantic Segmentation of Femur Bone from MRI Images of Patients with Hematologic Malignancies. - Boyuan Peng; Zhe Guo; Xin Zhu 001; Shouhei Ikeda; Saburo Tsunoda (TENCON, 2020)

Femoral segmentation of MRI images using PP-LiteSeg. - Boyuan Peng; Yiyang Liu; Xin Zhu 001; Shouhei Ikeda; Saburo Tsunoda (BHI, 2022)

Automatic endometrial segmentation in ultrasound images using deep learning. - Yiyang Liu; Boyuan Peng; Xin Zhu 001; Wenwen Wang; Qin Zhou; Shixuan Wang; Jingjing Jiang; Li Fang (MCSoC, 2022)

Automatic Edge Detection in Echocardiographic Doppler Images Using an Improved Canny Algorithm. - Yiyang Liu; Boyuan Peng; Ziwei Liang; Xin Zhu 001; Hiromasa Hayama; Keijiro Nakamura (iCAST, 2023)

Incremental Learning with Pseudo Labels for Enhanced Glomeruli Segmentation Using SAM. - Xinkai Liu; Boyuan Peng; Xin Zhu 001; Tsuyoshi Iwasaki; Atsuya Sato; Junichiro James Kazama; Jie Huang (HealthCom, 2024)

Multi-StudentNet: a Semi-supervised Deep-Learning Framework for Endometrial Segmentation in Transvaginal Ultrasound Images. - Boyuan Peng; Yiyang Liu; Xin Zhu; Jie Huang; Wenwen Wang; Li Fang; Qin Zhou (HealthCom, 2024)

ARBS-YOLOv8 for Annotation Box Detection in Colonoscopy CADe Systems. - Ruiyao Zhang; Naohisa Yoshida; Osamu Dohi; Boyuan Peng; Xinkai Liu; Jie Huang; Xin Zhu (HealthCom, 2024)

Benchmarking the Cell Image Segmentation Models Robustness under the Microscope Optical Aberrations. - Boyuan Peng; Jiaju Chen; Qihui Ye; Fu-Min Chen; Peiwu Qin; Chenggang Yan; Dongmei Yu; Zhenglin Chen (CoRR, 2024)

EndoUSScan: Keyframe detection in transvaginal ultrasound imaging for measuring endometrial thickness. - Yiyang Liu; Boyuan Peng; Qin Zhou; Suzhen Yuan; Wei Yan; Li Fang; Jingjing Jiang; Shixuan Wang; Xin Zhu 001; Wenwen Wang (Comput. Methods Programs Biomed., 2025)

Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design. - Boyuan Peng; Jiaju Chen; Yiwei Zhang; Cuiyi Peng; Junyang Li; Jiaming Deng; Peiwu Qin (CoRR, 2025)