Research Interests
Computerized Tomography Imaging; Abdominal Multi Organ and Lesion Segmentation; Self-Supervised Learning; Computer Vision
Biography
Qiaochu Zhao is a graduate student working in medical image analysis, focusing on organ and lesion segmentation algorithms in medical imaging. Qiaochu has conducted research in abdominal CT organ and lesion segmentation, automated 3D breast ultrasound for tumor segmentation, and medical foundation modeling. Pronouns: He/His
Education and Training
BSc in Digital Media Technology, Xi’an Jiaotong-Liverpool University (2024)
MSc in Biomedical Engineering, Columbia University
Honors and Awards
University Academic Achievement Award Scholarship
Xi’an Jiaotong-Liverpool University, Suzhou, China, 2021-2023
Honorable Mention Award
TDSC-ABUS, MICCAI Grand Challenge, 2023
Selected Publications
Song, S., Wang, J., Zhao, Q., Li, X., Wu, D., Stefanidis, A., Su, J., Zhou, S.K. and Li, Q., 2024. Contrastive Learning Via Equivariant Representation. arXiv preprint arXiv:2406.00262.