People

Wenqi Li

Wenqi Li is a senior applied research scientist at NVIDIA, focusing on computer vision and machine learning techniques for medical image analysis. Wenqi received his Ph.D. in applied computing from The University of Dundee (Scotland, UK) in 2015.

Personal webpage: https://wyli1072.appspot.com/

Main Field of Interest
Medical
Google Scholar
https://scholar.google.com/citations?user=LFDQeh0AAAAJ

Publications

2022

GradViT: Gradient Inversion of Vision Transformers
Ali Hatamizadeh, Hongxu Danny Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
MICCAI 2020
Neurreg: Neural registration and its application to image segmentation
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
WACV

2019

Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sebastien Ourselin, M. Jorge Cardoso, Andrew Feng
MICCAI 2019