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Bio.

I am a final-year PhD at Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng and MEng degrees from the same university, and a double master's degree in France. I was a visiting research fellow in the Visual Computing Group at Harvard University. I am now visiting EPFL, Switzerland, working with Prof. Pascal Fua. I have authored 30+ papers on prestigious journals/conferences, e.g., Cancer Research, eBioMedicine, CVPR, MICCAI, NeurIPS, ICCV, and ICLR. I have been a reviewer for 10+ top-tier venues, a top-ranking participant for several AI competitions, and the lead organizer for MICCAI 2020 RibFrac Challenge. My research interests center around the interdisciplinary field of medical image analysis and 3D computer vision. Currently, I have been primarily investigating geometric deep learning in biomedical applications.

Research Projects

Preprint / Technical Reports

Publications

  • MedMNIST/MedMNIST: 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: pip install medmnist #stars:577 #forks:96
  • M3DV/RibSeg: [MICCAI'21] RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans #stars:19 #forks:5
  • M3DV/ACSConv: [IEEE JBHI] Reinventing 2D Convolutions for 3D Images #stars:83 #forks:13
  • M3DV/FracNet: [EBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet #stars:39 #forks:17
  • TrustworthyDL/LeBA: [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback #stars:21 #forks:4
  • M3DV/SimTA: [MICCAI'20] MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response #stars:6 #forks:0
  • M3DV/AlignShift: [MICCAI'21] A3D + [MICCAI'20] AlignShift: A Codebase for Universal Lesion Detection (DeepLesion) #stars:36 #forks:8
  • duducheng/DenseSharp: [Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas #stars:109 #forks:56

Educational Projects

  • M3DV/Kickstart: Study route for learners in machine learning / deep learning / computer vision #stars:67 #forks:16
  • duducheng/2048-api: Educational API for developing ML (imitation learning or reinforcement learning) agents to play game 2048 #stars:115 #forks:113
  • duducheng/clustering_tutorial: A Tutorial of KMeans(++), GMM and Spectral Clustering #stars:23 #forks:10

Misc.

Total Stars: 1254. Total Forks: 379. Updated on May 02, 2022.

Jiancheng's Projects

2048-api icon 2048-api

Educational API for developing ML (imitation learning or reinforcement learning) agents to play game 2048

camel icon camel

🐫 CAMEL: Communicative Agents for β€œMind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

densesharp icon densesharp

[Cancer Research] 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas

duducheng icon duducheng

GitHub profile stats intergrated with GitHub API

gym-pull icon gym-pull

Add-on for OpenAI Gym that supports automatic downloading of user environments.

imgview icon imgview

View ConvNets' Results in lines of Python with zero dependancy

kits19 icon kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

practical_rl icon practical_rl

RL learning playground and utils with refer to `Practical_RL`

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