Academic activities

Professional service, invited talks, mentoring and teaching across medical imaging and biomedical artificial intelligence.

Professional service

2024–2026

Medical Image Computing and Computer Assisted Intervention (MICCAI)

Area Chair for MICCAI 2024, 2025 and 2026.

2025

Learning with Longitudinal Medical Images and Data (LMID)

Organisation of a workshop focused on learning from longitudinal medical imaging and associated clinical data.

2025

Vision-Language Modelling in 3D Medical Imaging (VLM3D)

Organisation of a workshop focused on vision-language methods for three-dimensional medical imaging.

Ongoing

Medical imaging, machine learning and biomedical informatics venues

IEEE TMI, TBME, JBHI and CYBE; Elsevier BBE; ACL; CVPR; ICCV; MICCAI; and MedNeurIPS.

2022

National Institutes of Health

2020

UCL / ICL / KCL Bio-imaging Symposia

2019

UCL / ICL Bio-imaging Symposia

2017

XinHai Forum, Harbin Engineering University

NIH

Student projects

Dylan Wu — A Novel Deep Learning Pipeline for Age-Related Macular Degeneration Risk Prediction with Reticular Pseudodrusen
Tiffany Wei — Evaluating TotalSegmentator for Muscle and Fat Segmentation in Patients with Ascites

Imperial

As Supervisor

Li, Charlie (2023–24, UG)
Yan, Jerry (2023–24, UG)
Zhao, Xuan (2022–23, UG)
Liu, Zhaojiang (2020–21, MSc)
Xu, Ming (2020–21, MSc)
Zhang, Wanshunyu (2020–21, UG)
Son, Joon-Ho (2020–21, UG)

As Co-supervisor

Zhu, Jerry (2023–24, UG)
Chen, Yitang (2023–24, UG)
Sorokin, Mike (2023–24, UG)
Bailey, Jacob (2023–24, UG)
Mihalik, Daniel (2023–24, UG)
Khan, Seyhan (2023–24, UG)
Catea, Bianca (2021–22, UG)
Bouas, Nikolaos (2020–21, MSc)
Lu, Kuan (2020–21, MSc)
Richter, Leo (2020–21, MSc)
Soteriou, George (2020–21, UG)
Xie, Yiming (2020–21, UG)
Roy, Sukant (2020–21, UG)

Imperial

GTA courses