Le Lu

Le Lu

Dr. Le Lu leads the global Medical AI R&D efforts for Alibaba DAMO Academy since August 2021. He had worked at PAII Inc., leading the division of Bethesda Research Lab, after more than five productive years at National Institutes of Health, Clinical Center, Radiology and Imaging Science Department, and from NVIDIA AI-Infra division. He was a senior staff scientist at Siemens corporate research and Siemens Medical Solutions from 2006 until 2013. Le is an IEEE Fellow (Computer Society) on medical imaging, AI and oncology imaging; an MICCAI society board member, IEEE Signal Processing Society Distinguished Industrial Speaker (2021-2023), also serves as an Associate Editor for IEEE Trans. Pattern Analysis and Machine Intelligence (IF: 24.3) and IEEE Signal Processing Letters and Frontiers in Oncology. Le received his Ph.D. degree of Computer Science from Johns Hopkins University in the U.S. in 2007. He published 250+ peer-reviewed articles and leading conference papers including Nature Medicine, Nature Communications, Annals of Surgery, Radiology, Clinical Cancer Research, IEEE TMI, MediaIA, CVPR/AAAI/ICCV/ECCV/NeurIPS/MICCAI/IPMI, with overall citations of 23880 by January 2024. He won many best paper or best paper finalist awards in RSNA, MICCAI and other leading clinical conference. He published the most cited IEEE TMI paper in the last 10 years, and the most cited medical imaging paper in IEEE CVPR in the last 10 years. He is the co-inventor of more than 100 US/PCT/CN patents (granted & pending).

 

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  • Organization
    Alibaba DAMO Academy
  • Profession
    Researcher & Senior Director
Related sessions
30 May 2024
11:15 - 11:30
Le Lu (Alibaba DAMO Academy), Melissa Heikkilä (MIT Technology Review)

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