Jiancheng Yang

Jiancheng Yang

ELLIS Institute
Assistant Professor
Yang Jiancheng group

Jiancheng (JC) Yang is a Principal Investigator at the ELLIS Institute Finland and Assistant Professor (Tenure-Track) at Aalto University, where he leads the Health Intelligence (HINT) group. He received his Bachelor’s and PhD degrees from Shanghai Jiao Tong University, was a visiting fellow at Harvard, and completed postdoctoral training at EPFL.

His research advances AI for health, with a focus on spatial intelligence, generative AI, and multimodal deep learning. JC has authored over 60 publications and is recognized for developing MedMNIST. He serves as Area Chair for MICCAI/MIDL and is an Editorial Board Member of npj Digital Medicine. He was the co-founder and CTO of a medical AI startup, with NMPA-approved (China's FDA) products and multi-million-dollar venture funding. He is a Forbes 30 Under 30 honoree and a recipient of the WAIC Yunfan Award.

Full researcher profile
https://research.aalto.fi/...

Osaamisalueet

AI for Health, Medical Image Analysis, 3D Vision, Spatial Intelligence, Machine Learning, Computer Vision, 113 Computer and information sciences, 217 Medical engineering, 213 Electronic, automation and communications engineering, electronics, 3 Medical and health sciences, Computational data analysis, Medical engineering, Computational science, Automation and systems technology, Systems biology, bioinformatics

Tutkimusryhmät

  • Yang Jiancheng group

Julkaisut

Template-guided reconstruction of pulmonary segments with neural implicit functions

Kangxian Xie, Yufei Zhu, Kaiming Kuang, Li Zhang, Hongwei Bran Li, Mingchen Gao, Jiancheng Yang 2026 Medical Image Analysis

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields

Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua 2025 Medical Image Analysis

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge

Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni 2025 IEEE Transactions on Medical Imaging

Multi-task learning for medical foundation models

Jiancheng Yang 2024 Nature Computational Science

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni 2023 Scientific Data