---
title: Wenqi Huang | PhD Student — AI in Healthcare and Medicine, TUM
description: Wenqi Huang — PhD student at Technical University of Munich, researching novel representations for fast MRI reconstruction.
url: https://wenqihuang.me/
---

# 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](https://aim-lab.io/), Technical University of Munich (TUM), supervised by [Prof. Daniel Rueckert](https://www.professoren.tum.de/en/rueckert-daniel). 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 and collecting fridge magnets and postcards from every place we visit.

[Google Scholar](https://scholar.google.com/citations?user=to2zNj4AAAAJ&hl=en) · [GitHub](https://github.com/wenqihuang) · [LinkedIn](https://www.linkedin.com/in/wenqi-huang-tum/) · [Email](mailto:wenqi.huang@tum.de) · [CV (PDF)](https://wenqihuang.me/files/Wenqi_Huang_CV.pdf)

## News

- **Sep 2026**: Presented two papers at **MICCAI 2026** in Strasbourg: [*Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction*](https://arxiv.org/abs/2603.05681) (spotlight) and [*Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction*](https://arxiv.org/html/2608.18055v2) (poster at the OFF-GRID workshop).
- **Aug 2026**: Went to **Mallorca** for the total solar eclipse. Absolutely stunning.
- **Jun 2026**: New preprint out! [*Gaussian Primitives for Distortion-Corrected Diffusion MRI*](https://arxiv.org/abs/2606.31521) — joint field-map and image estimation from rotated-view EPI, continuing our collaboration with Stanford and UCSF.
- **May 2026**: Gave a talk at the [**SFB MR-DYNAMO Workshop on Mathematical Methods in MRI**](https://indico.tugraz.at/event/126/) in Graz.
- **May 2026**: [*Gabor Primitives for Cardiac Cine MRI*](https://arxiv.org/abs/2603.05681) got provisionally accepted at **MICCAI 2026**!
- **Mar 2026**: Two new preprints out! [*Gabor Primitives for Cardiac Cine MRI*](https://arxiv.org/abs/2603.05681) and [*WSI-INR*](https://arxiv.org/abs/2603.03749) (with Y. Wu et al.).
- **Jan 2026**: Finally made it to Sedona in person for the **ISMRM Workshop on Data Sampling & Image Reconstruction**! Presented our extended work on physics-informed INRs for EPI.
- **Nov 2025**: [*PISCO*](https://arxiv.org/abs/2501.09403) (V. Spieker et al.) published in **Medical Image Analysis**. Also a new preprint: [*Reconstruction-free Segmentation*](https://arxiv.org/abs/2511.03762) (Y. Zhang et al.)
- **Sep 2025**: Two collaborative papers at **MICCAI 2025 Workshops** in Daejeon: [*INR Meets Multi-contrast MRI*](https://arxiv.org/abs/2509.04888) (N. Niessen et al.) and [*Neural Space-Time Modeling for Motion-Corrected MR Reconstruction*](https://link.springer.com/chapter/10.1007/978-3-032-06103-4_12) (A. Nurdinova et al.)
- **Jul 2025**: Gave a guest lecture on INRs for MRI at the **TUM Seminar on DL for Inverse Problems**.
- **May 2025**: Our Stanford collaboration on EPI is accepted at **MICCAI 2025** (early accept): [*Physics-Informed INRs for Joint B0 Estimation and EPI*](https://arxiv.org/abs/2503.00230)
- **May 2025**: Oral presentation at **ISMRM 2025** in Honolulu — great to share our Subspace INR work with the MR community.
- **Apr 2025**: Spent a wonderful winter quarter (Jan–Mar) at **Stanford University** working with [Prof. Kawin Setsompop](https://med.stanford.edu/profiles/kawin-setsompop) on physics-informed EPI reconstruction.
- **Feb 2025**: [*Subspace INRs for Real-Time Cardiac Cine MRI*](https://arxiv.org/abs/2412.12742) accepted at **IPMI 2025**!
- **Jan 2025**: Honored to give an invited talk at **NVIDIA Research Radar** on our INR work for cardiac MR imaging.
- **Jul 2024**: [*Motion-compensated MR CINE Reconstruction*](https://arxiv.org/abs/2302.02504) (J. Pan et al.) published in **IEEE TMI**.
- **Jun 2024**: [*Self-supervised k-Space Regularization*](https://arxiv.org/abs/2404.08350) (V. Spieker et al.) accepted at **MICCAI 2024**.
- **Mar 2024**: [*Direct Cardiac Segmentation from Undersampled k-Space*](https://arxiv.org/abs/2406.00192) (Y. Zhang et al.) accepted at **ISBI 2024**.
- **Feb 2024**: Presenting *TransGRAPPA* and *DE-NIK* (V. Spieker et al.) at **ISMRM 2024** in Singapore.
- **Jan 2024**: Proud to see my student’s work accepted — [*Neural Implicit k-Space with Trainable Periodic Activations*](https://link.springer.com/chapter/10.1007/978-3-658-44037-4_26) (PT Haft et al.) at **BVM 2024** as oral!
- **Nov 2023**: Another student project published! [*Self-supervised L+S Network for Radial MRI*](https://openreview.net/forum?id=hUOHV4SKNw) (A. Mancu et al.) at **NeurIPS 2023 Workshop**.
- **Nov 2023**: Presented Neural Implicit k-Space at **JIS Summit 2023** (virtual).
- **Oct 2023**: [*Unrolled Motion-compensated Reconstruction for Cardiac CINE*](https://www.sciencedirect.com/science/article/pii/S1361841523002773) (J. Pan et al.) accepted at **Medical Image Analysis**.
- **Jun 2023**: Oral at **IPMI 2023** in beautiful Bariloche! Presenting [*Neural Implicit k-Space*](https://arxiv.org/abs/2212.08479).
- **Jun 2023**: Busy MICCAI season — three collaborative papers accepted: [*ICoNIK*](https://arxiv.org/abs/2308.08830) (V. Spieker et al.), [*Generalised INRs for Registration*](https://link.springer.com/chapter/10.1007/978-3-031-53767-7_5) (V. Zimmer et al.), and [*Uncertainty Propagation*](https://arxiv.org/abs/2309.16831) (L. Feiner et al.)
- **Jan 2023**: Oral accepted at the **ISMRM Workshop** in Sedona — couldn’t attend due to visa issues, but Prof. Rueckert kindly presented on my behalf.
- **Sep 2022**: Gave an invited talk at **SIAM MDS 2022** (virtual) on algorithm unrolling for MRI reconstruction.

## Selected Publications

Full list: [Google Scholar](https://scholar.google.com/citations?user=to2zNj4AAAAJ&hl=en)

- [**Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction**](https://arxiv.org/abs/2603.05681)  
  **W Huang**, V Spieker, N Stolt-Ansó, N Niessen, M Dannecker, SG Kafali, S Kurugol, JA Schnabel, D Rueckert  
  *MICCAI 2026* · Spotlight · [Paper](https://arxiv.org/abs/2603.05681) · [Code](https://github.com/wenqihuang/FastGaborMRI)
- [**Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging**](https://arxiv.org/abs/2503.00230)  
  **W Huang**, N Wang, C Liao, Y Lin, M Gao, D Rueckert, K Setsompop  
  *MICCAI 2025* · [Paper](https://arxiv.org/abs/2503.00230) · [Code](https://github.com/wenqihuang/PINR)
- [**Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging**](https://arxiv.org/abs/2412.12742)  
  **W Huang**, V Spieker, S Xu, G Cruz, C Prieto, JA Schnabel, K Hammernik, T Kuestner, D Rueckert  
  *IPMI 2025* · [Paper](https://arxiv.org/abs/2412.12742) · [Code](https://github.com/wenqihuang/SubspaceINR-CMR)
- [**Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging**](https://arxiv.org/abs/2212.08479)  
  **W Huang**, H Li, J Pan, G Cruz, D Rueckert, K Hammernik  
  *IPMI 2023* · Oral · [Paper](https://arxiv.org/abs/2212.08479) · [Code](https://github.com/wenqihuang/NIK_MRI)
- [**Deep Low-Rank Plus Sparse Network for Dynamic MR Imaging**](https://arxiv.org/abs/2010.13677)  
  **W Huang**, Z Ke, ZX Cui, J Cheng, Z Qiu, S Jia, L Ying, Y Zhu, D Liang  
  *Medical Image Analysis 2021* · [Paper](https://arxiv.org/abs/2010.13677) · [Code](https://github.com/wenqihuang/LS-Net-Dynamic-MRI)
- [**Learned Low-Rank Priors in Dynamic MR Imaging**](https://arxiv.org/abs/2006.12090)  
  Z Ke\*, **W Huang\***, ZX Cui, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, Y Zhu, D Liang  
  *IEEE Transactions on Medical Imaging 2021* · [Paper](https://arxiv.org/abs/2006.12090) · [Code](https://github.com/Keziwen/SLR-Net)

## Presentations

- **Oct 2026** · **MICCAI 2026 OFF-GRID Workshop** · Strasbourg (Poster): *Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction*
- **Sep 2026** · **MICCAI 2026** · Strasbourg (Spotlight): *Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction*
- **May 2026** · **SFB MR-DYNAMO Workshop on Mathematical Methods in MRI** · Graz (Oral): *Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction*
- **Jan 2026** · **ISMRM Workshop on Data Sampling & Image Reconstruction** · Sedona (Poster): *Joint B0 Estimation and Distortion-Free Reconstruction from Rotated-View EPI*
- **Jul 2025** · **Seminar on DL for Inverse Problems in Medical Imaging** · Munich (Invited): *Implicit Neural Representations for MRI Reconstruction*
- **Jun 2025** · **IPMI 2025** · Kos Island (Poster): *Subspace INRs for Real-Time Cardiac Cine MRI (extended full paper)*
- **May 2025** · **ISMRM 2025** · Honolulu (Oral): *Subspace INRs for Real-Time Cardiac Cine MRI (abstract)*
- **Jan 2025** · **NVIDIA Research Radar Talk** · Online (Invited): *Implicit Neural Representations for Non-Cartesian Cardiac MR Imaging*
- **May 2024** · **ISMRM 2024** · Singapore (Poster): *TransGRAPPA: Self-supervised Transformer Network for k-Space Interpolation*
- **Nov 2023** · **JIS Summit 2023** · Virtual (Oral): *Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging*
- **Jun 2023** · **IPMI 2023** · Bariloche (Oral): *Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging*
- **Jan 2023** · **ISMRM Workshop on Data Sampling & Image Reconstruction** · Sedona (Oral): *Universal K-Space Interpolation Network for Non-Cartesian CINE Imaging*
- **Sep 2022** · **SIAM MDS 2022** · Virtual (Invited): *Algorithm Unrolling: Key for Physics-Based Learning in MRI Reconstruction*

## 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

- **Oct 2026 – Mar 2027**: Master’s Seminar: AI Research in the Large Language Models Era (IN2107)  
  Co-organizer with Nil Stolt-Ansó · Winter Semester 2026/27, TUM
- **Jul 2025**: Guest Lecture: Implicit Neural Representations for MRI Reconstruction  
  Seminar on Deep Learning for Inverse Problems in Medical Imaging, TUM
- **Oct 2023 – Sep 2024**: Applied Deep Learning in Medicine: Implicit Neural Representations for MRI  
  Master Practical Course Supervisor · Winter Semester 2023/24 & Summer Semester 2024, 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**: 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

## 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](mailto:wenqi.huang@tum.de)! I can’t promise a fast reply (spam sometimes buries the real emails), but if I see it, I will respond.