Scholar
Le Lu
Google Scholar ID: kZn0f6gAAAAJ
Ant Group, IEEE Fellow, MICCAI Board Member (2021-2025)
Citations & Impact
Citations
30,791
H-index
55
i10-index
155
Publications
20
Co-authors
24
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Won 8 best paper awards in the recent 5 years.
- - Works were selected for MICCAI-MedIA Special Issues of Best Papers in both 2019 and 2020.
- - Won MICCAI 2018 Young Research Publication Impact Award.
- - Finalist for MICCAI 2017 Young Scientist Award.
- - Won RSNA 2018 Research Trainee Award in Informatics Category (DeepLesion topic).
- - Won the same award in RSNA 2016 (Radiology Big Data Self-learning).
- - NIH DeepLesion dataset is available for download (32,000 CT cases from 11,000 studies).
- - NIH Chest X-Ray-14 dataset is available for download (112,120 frontal images from 32,717 unique patients).
- - Lymph Node Detection and Segmentation datasets and Pancreas Segmentation datasets are available for download.
Research Experience
- Led the Bethesda Research Lab at PAII Inc. from June 2018 to July 2021. Previously, worked at the National Institutes of Health, Clinical Center, Radiology and Imaging Science Department for over five years.
Background
- Currently leading the global Medical AI R&D efforts for DAMO Academy, Alibaba Group. Worked at PAII Inc., leading the division of Bethesda Research Lab from June 2018 until July 2021, after more than five productive years at National Institutes of Health, Clinical Center, Radiology and Imaging Science Department, and from NVIDIA AI-Infra division. IEEE Fellow on medical imaging, AI, and oncology imaging; also serves as an Associate Editor for IEEE Trans. Pattern Analysis and Machine Intelligence (IF: 17.8) and IEEE Signal Processing Letters.
Miscellany
- Personal interests include the application of deep learning and medical imaging in preventive medicine.
