News
- Presented two papers at MICCAI 2026 in Strasbourg: Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction (spotlight) and Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction (poster at the OFF-GRID workshop).
- Went to Mallorca for the total solar eclipse. Absolutely stunning.
- New preprint out! Gaussian Primitives for Distortion-Corrected Diffusion MRI — joint field-map and image estimation from rotated-view EPI, continuing our collaboration with Stanford and UCSF.
- Gave a talk at the SFB MR-DYNAMO Workshop on Mathematical Methods in MRI in Graz.
- Gabor Primitives for Cardiac Cine MRI got provisionally accepted at MICCAI 2026!
- Two new preprints out! Gabor Primitives for Cardiac Cine MRI and WSI-INR (with Y. Wu et al.).
- 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.
- PISCO (V. Spieker et al.) published in Medical Image Analysis. Also a new preprint: Reconstruction-free Segmentation (Y. Zhang et al.)
- Two collaborative papers at MICCAI 2025 Workshops in Daejeon: INR Meets Multi-contrast MRI (N. Niessen et al.) and Neural Space-Time Modeling for Motion-Corrected MR Reconstruction (A. Nurdinova et al.)
- Gave a guest lecture on INRs for MRI at the TUM Seminar on DL for Inverse Problems.
- Our Stanford collaboration on EPI is accepted at MICCAI 2025 (early accept): Physics-Informed INRs for Joint B0 Estimation and EPI
- Oral presentation at ISMRM 2025 in Honolulu — great to share our Subspace INR work with the MR community.
- Spent a wonderful winter quarter (Jan–Mar) at Stanford University working with Prof. Kawin Setsompop on physics-informed EPI reconstruction.
- Subspace INRs for Real-Time Cardiac Cine MRI accepted at IPMI 2025!
- Honored to give an invited talk at NVIDIA Research Radar on our INR work for cardiac MR imaging.
- Motion-compensated MR CINE Reconstruction (J. Pan et al.) published in IEEE TMI.
- Self-supervised k-Space Regularization (V. Spieker et al.) accepted at MICCAI 2024.
- Direct Cardiac Segmentation from Undersampled k-Space (Y. Zhang et al.) accepted at ISBI 2024.
- Presenting TransGRAPPA and DE-NIK (V. Spieker et al.) at ISMRM 2024 in Singapore.
- Proud to see my student’s work accepted — Neural Implicit k-Space with Trainable Periodic Activations (PT Haft et al.) at BVM 2024 as oral!
- Another student project published! Self-supervised L+S Network for Radial MRI (A. Mancu et al.) at NeurIPS 2023 Workshop.
- Presented Neural Implicit k-Space at JIS Summit 2023 (virtual).
- Unrolled Motion-compensated Reconstruction for Cardiac CINE (J. Pan et al.) accepted at Medical Image Analysis.
- Oral at IPMI 2023 in beautiful Bariloche! Presenting Neural Implicit k-Space.
- Busy MICCAI season — three collaborative papers accepted: ICoNIK (V. Spieker et al.), Generalised INRs for Registration (V. Zimmer et al.), and Uncertainty Propagation (L. Feiner et al.)
- Oral accepted at the ISMRM Workshop in Sedona — couldn’t attend due to visa issues, but Prof. Rueckert kindly presented on my behalf.
- Gave an invited talk at SIAM MDS 2022 (virtual) on algorithm unrolling for MRI reconstruction.
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
-
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
-
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
-
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
W Huang, H Li, J Pan, G Cruz, D Rueckert, K Hammernik
-
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
-
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
Presentations
-
MICCAI 2026 OFF-GRID Workshop · Strasbourg
Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
-
MICCAI 2026 · Strasbourg
Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
-
SFB MR-DYNAMO Workshop on Mathematical Methods in MRI · Graz
Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
-
ISMRM Workshop on Data Sampling & Image Reconstruction · Sedona
Joint B0 Estimation and Distortion-Free Reconstruction from Rotated-View EPI
-
Seminar on DL for Inverse Problems in Medical Imaging · Munich
Implicit Neural Representations for MRI Reconstruction
-
IPMI 2025 · Kos Island
Subspace INRs for Real-Time Cardiac Cine MRI (extended full paper)
-
ISMRM 2025 · Honolulu
Subspace INRs for Real-Time Cardiac Cine MRI (abstract)
-
NVIDIA Research Radar Talk · Online
Implicit Neural Representations for Non-Cartesian Cardiac MR Imaging
-
ISMRM 2024 · Singapore
TransGRAPPA: Self-supervised Transformer Network for k-Space Interpolation
-
JIS Summit 2023 · Virtual
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
-
IPMI 2023 · Bariloche
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
-
ISMRM Workshop on Data Sampling & Image Reconstruction · Sedona
Universal K-Space Interpolation Network for Non-Cartesian CINE Imaging
-
SIAM MDS 2022 · Virtual
Algorithm Unrolling: Key for Physics-Based Learning in MRI Reconstruction
Education
PhD in Computer Science, Technical University of Munich (TUM), Germany
Topic: Advanced Algorithms for Fast MRI · Supervisor: Prof. Daniel Rueckert
Visiting Student Researcher, Stanford University, USA
Supervisor: Prof. Kawin Setsompop
M.Sc. in Pattern Recognition & Intelligent Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Supervisor: Prof. Dong Liang
B.Eng. in Information Engineering, Soochow University, China
Teaching & Supervision
Master’s Seminar: AI Research in the Large Language Models Era (IN2107)
Co-organizer with Nil Stolt-Ansó · Winter Semester 2026/27, TUM
Guest Lecture: Implicit Neural Representations for MRI Reconstruction
Seminar on Deep Learning for Inverse Problems in Medical Imaging, TUM
Applied Deep Learning in Medicine: Implicit Neural Representations for MRI
Master Practical Course Supervisor · Winter Semester 2023/24 & Summer Semester 2024, TUM
Neural Implicit k-Space with Trainable Periodic Activation Functions for Cardiac MR Imaging
Master Interdisciplinary Project Advisor · Published at BVM 2024 (Oral)
Self-supervised Low-rank plus Sparse Network for Radial MRI Reconstruction
Master Interdisciplinary Project Co-supervisor · Published at NeurIPS 2023 Workshop
Academic Service
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 / studiedConference / visitCollaborator
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.