👋I am a PhD student in the MIND Team at CEA / Inria, based in Paris, and enrolled at Université Paris-Saclay. My PhD is supervised by Dr. Philippe Ciuciu and Dr. Chaithya G. R., focusing on advanced methods for functional brain MRI.
My research centers on deep learning for accelerated whole-brain, high-resolution functional MRI reconstruction, with a particular emphasis on combining self-supervised learning and transfer learning with physical modeling of MRI reconstruction. My main research interests include:
- Deep learning-based reconstruction from undersampled medical imaging data
- Joint optimization of non-Cartesian trajectories and physics-driven fMRI reconstruction
- Foundation models for brain imaging
- fMRI based brain decoding
- Future extensions toward non-invasive brain-computer interfaces
I am also passionate about open-source scientific software and actively contribute to projects such as MRI-NUFFT and SNAKE.
Before starting my PhD in France, I worked on spectral CT and low-field MRI Reconstruction at the Shenzhen Institutes of Advanced Technology (Chinese Academy of Sciences), supervised by Dr. Dong Liang and Dr. Yinsheng Li.
You can find my CV, my LinkedIn, and GitHub here.
🧩Beyond research, I also enjoy a variety of activities that keep my life balanced and inspiring:
Life Dashboard
Good ideas often flicker into view mid-run or beside a train window, then settle after a generous meal or a close conversation with nature.
📣 News
Updated June 2026Submission early accepted to MICCAI 2026
DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction was early accepted by MICCAI 2026 (top 9%). See you in Strasbourg.
arXiv CodeAIDAS and ADAC Workshops in Cologne
I will attend the AIDAS Workshop and ADAC Workshop in Cologne from August 31–September 4.
ADAC workshopNeuroHack Workshop in Seattle
My application to NeuroHack was accepted; I will attend the workshop at the University of Washington, Seattle from July 12–25. See you in Seattle.
Workshop siteEarlier Updates 7 items
- I attended ISMRM 2026 in Cape Town from May 7–19. [abstract]
- My Master’s research on INR for sequential-scanning dual-energy CT imaging was accepted by IEEE TRPMS and is available online. [paper]
- Received Educational Stipend Award, ISMRM 2026.
- Our work Temporal Attention-Induced Scan-Specific fMRI Reconstruction Meets Time-Varying Trajectories was accepted as a PowerPitch Oral at ISMRM 2026. [abstract]
- Joined the MIND Team at CEA / Inria as a PhD researcher.
- Presented work on improved spectral CT reconstruction at Fully3D 2025 (Oral).
- Presented work on sequentially-scanning DECT imaging and received Best Paper Finalist (Top 2%) and Student Travel Grant at ISBI 2024.
📝 Publications
MR Imaging
DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
Qiaoxin Li, Caini Pan, Pierre-Antoine Comby, Chaithya Giliyar Radhakrishna, Philippe Ciuciu
MICCAI 2026
[arXiv] [code]
Temporal Attention-Induced Scan-Specific fMRI Reconstruction Meets Time-Varying Trajectories
Qiaoxin Li, Caini Pan, Pierre-Antoine Comby, Chaithya Giliyar Radhakrishna, Philippe Ciuciu
ISMRM 2026 – PowerPitch Oral [abstract]
CT Imaging
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation
Qiaoxin Li, Dong Liang, Yinsheng Li
Fully3D 2025 – Oral
ACCELERATION: Sequential-scanning Dual-Energy Computed Tomography Imaging Using High Temporal Image Reconstruction and Temporal Extrapolation
Qiaoxin Li, Dong Liang, Yinsheng Li
ISBI 2024
[paper]
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation
Qiaoxin Li, Ruifeng Chen, Peng Wang, Guotao Quan, Yanfeng Du, Dong Liang, Yinsheng Li
IEEE TRPMS
[paper]
🏆 Honors and Awards
- 2026 — Educational Stipend Award, ISMRM 2026, Cape Town
- 2024 — Best Paper Finalist (Top 2%), ISBI 2024, Athens
- 2024 — Student Travel Grant, ISBI 2024, Athens
- 2024 — Oral Academic Presentation Second Prize, China BME Conference, Shenzhen
- 2021 — Second Prize, National College Mathematics Competition, Chinese Mathematical Society
- 2020 — Second Place, World Artificial Intelligence Innovation Application Competition, Zhengzhou
🎓 Educations
PhD in Medical Imaging
Université Paris-Saclay, Saclay, France
2025 – Present
Thesis:
Deep Learning for High-Resolution 11.7 Tesla Functional Brain MRI Reconstruction
M.Eng in Computer Science
University of Chinese Academy of Sciences
2022 – 2025
Thesis:
High Temporal Resolution CT Imaging Using Deep Learning Methods
B.Sc. in Computational Mathematics
Henan University
2018 – 2022
Thesis:
A Variational Model for Removing Concentric Ring Artifacts from CT Images
Looking forward to our connection 🌍
