Wenqi Huang Reconstructing...

Wenqi Huang 黄文麒

Pronounced: WEN-chee HWAHNG

Hi there! I'm a PhD student at the Chair of AI in Healthcare and Medicine, Technical University of Munich (TUM), supervised by Prof. Daniel Rueckert. My research focuses on novel representations for fast MRI reconstruction, with minimal or no training data.

Outside of research, my wife and I love exploring the world — hiking trails, birdwatching spots, hidden towns, and great Chinese restaurants. We collect fridge magnets and postcards from every place we visit. Occasionally I'm also a photographer or cyclist. We wish for world peace.

News

Selected Publications

Full list on Google Scholar.

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

W Huang, V Spieker, N Stolt-Ansó, N Niessen, M Dannecker, SG Kafali, S Kurugol, JA Schnabel, D Rueckert

Preprint arXiv, 2026

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging

W Huang, N Wang, C Liao, Y Lin, M Gao, D Rueckert, K Setsompop

Poster MICCAI 2025

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging

W Huang, V Spieker, S Xu, G Cruz, C Prieto, JA Schnabel, K Hammernik, T Kuestner, D Rueckert

Poster IPMI 2025

Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging

W Huang, H Li, J Pan, G Cruz, D Rueckert, K Hammernik

Oral IPMI 2023

Deep Low-Rank Plus Sparse Network for Dynamic MR Imaging

W Huang, Z Ke, ZX Cui, J Cheng, Z Qiu, S Jia, L Ying, Y Zhu, D Liang

Journal Medical Image Analysis, 2021

Learned Low-Rank Priors in Dynamic MR Imaging

Z Ke*, W Huang*, ZX Cui, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, Y Zhu, D Liang

Journal IEEE Transactions on Medical Imaging, 2021

Presentations

& More

Education

2021 – present PhD in Computer Science Technical University of Munich (TUM), Germany Topic: Advanced Algorithms for Fast MRI · Supervisor: Prof. Daniel Rueckert
Jan – Mar 2025 Visiting Student Researcher Stanford University, USA Supervisor: Prof. Kawin Setsompop
2018 – 2021 M.Sc. in Pattern Recognition & Intelligent Systems Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Supervisor: Prof. Dong Liang
2014 – 2018 B.Eng. in Information Engineering Soochow University, China

Teaching & Supervision

  • Jul 2025 — Guest Lecture: Implicit Neural Representations for MRI Reconstruction Seminar on Deep Learning for Inverse Problems in Medical Imaging, TUM
  • WiSe 2023/24 & SoSe 2024 — Applied Deep Learning in Medicine: Implicit Neural Representations for MRI Master Practical Course Supervisor, TUM
  • Sep – Dec 2023 — Neural Implicit k-Space with Trainable Periodic Activation Functions for Cardiac MR Imaging Master Interdisciplinary Project Advisor · Published at BVM 2024 (Oral)
  • Jul 2022 – Sep 2023 — Self-supervised Low-rank plus Sparse Network for Radial MRI Reconstruction Master Interdisciplinary Project Co-supervisor · Published at NeurIPS 2023 Workshop

Academic Service

Reviewer for IEEE Transactions on Medical Imaging (TMI), Medical Image Analysis (MedIA), Magnetic Resonance in Medicine (MRM), IEEE Transactions on Biomedical Engineering (TBME), Advanced Science, MICCAI, ISMRM

Academic Footprint

Lived / studied Conference / visit Collaborator

Beyond Research

I'm always happy to chat about MRI reconstruction, deep learning, travel, birdwatching, photography, or just world peace. If you're working on something related or just want to say hi — drop me a line! I can't promise a fast reply (spam sometimes buries the real emails), but if I see it, I will respond.