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 Lab. 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 through generative and agentic AI, multimodal learning, and world models, with the goal of building virtual patients. JC has authored 80+ publications and is recognized for developing MedMNIST. He serves as Area Chair for MICCAI/NeurIPS/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.
As a personal interest, JC is the initiator and organizer of the HIT Webinar (hit-webinar.com), a Chinese-language webinar series focusing on healthcare, artificial intelligence, and cutting-edge technology. This fully open, non-profit initiative has hosted 100+ sessions since its launch in April 2022.
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- MedMNIST/MedMNIST: [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
- HINTLab/PhysAssistBench: [EMNLP'26 Findings] Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance
- HINTLab/PlaneCycle: [MICCAI'26] PlaneCycle: Training-Free 2D-to-3D Lifting of Foundation Models Without Adapters
- HINTLab/CowTalk: [MICCAI'26] Refining 3D Medical Segmentation with Verbal Instruction
- HINTLab/Bonnet: [ISBI'26 Oral] Bonnet: Ultra-Fast Whole-Body Bone Segmentation from CT Scans
- HINTLab/DiffAtlas: [MICCAI'25 Spotlight] DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
- HINTLab/RibFrac-Challenge: MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification (3D Instance Segmentation)
- HINTLab/LeFusion: [ICLR‘25 Spotlight] LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
- HINTLab/ACSConv: [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!
- HINTLab/AlignShift: [MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)
- HINTLab/pulmonary-tree-repairing: [MICCAI'23] Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
- HINTLab/pulmonary-tree-labeling: [MedIA‘25] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
- HINTLab/ImPulSe: [MICCAI'22] What Makes for Automatic Reconstruction of Pulmonary Segments
- HINTLab/NeAR: [MICCAI'22] Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
- HINTLab/RibSeg: [MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans
- HINTLab/FracNet: [eBioMedicine'20] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet
- HINTLab/SimTA: [MICCAI'20] MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
- HINTLab/LeBA: [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback
- duducheng/DenseSharp: [Cancer Research'18] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
- HINTLab/Kickstart: Study route for learners in machine learning / deep learning / computer vision
- duducheng/2048-api: Educational API for developing ML (imitation learning or reinforcement learning) agents to play game 2048
- duducheng/clustering_tutorial: A Tutorial of KMeans(++), GMM and Spectral Clustering
- M3DV/ai-deadlines: ⏰ top AI deadline countdowns (with an emphasis on computer vision and medical images)
- duducheng/Learning-Notes: Notes and resources on Machine Learning
- duducheng/deeplabv3p_gluon: DeepLab v3+ in MXNet Gluon
