| Mar 22, 2025 | I gave a talk on Computational imaging: Restoration deep networks as implicit priors at the Deep Reconstruction Workshop that took place at the Johns Hopkins University (see the recording here). |
| Mar 12, 2025 | Efficient Model-based Deep Learning via Network Pruning and Fine-Tuning was accepted to Journal of Mathematical Imaging and Vision. |
| Feb 26, 2025 | CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping was accepted to Journal of Mathematical Imaging and Vision. |
| Feb 26, 2025 | FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems was accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). |
| Feb 24, 2025 | CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Data Reconstruction was accepted to IEEE Geoscience and Remote Sensing Letters. |
| Jan 09, 2025 | Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model was accepted to IEEE Transactions on Radiation and Plasma Medical Sciences. |
| Jan 05, 2025 | A Self-Supervised Diffusion Bridge for MRI Reconstruction was accepted to IEEE International Symposium on Biomedical Imaging (ISBI). |
| Dec 17, 2024 | New paper Plug-and-Play Priors as a Score-Based Method. Collaboration with Michael McCann, Cristina Garcia-Cardona, and Brendt Wohlberg from LANL. |
| Dec 16, 2024 | I am the recipient of 2024 IEEE SPS Pierre-Simon Laplace Early Career Technical Achievement Award. |
| Dec 10, 2024 | New paper Closed-Form Approximation of the Total Variation Proximal Operator. Collaboration with Brendt Wohlberg from LANL. |
| Dec 02, 2024 | New paper Random Walks with Tweedie: A Unified Framework for Diffusion Models. Collaboration with Michael McCann, Cristina Garcia-Cardona, and Brendt Wohlberg from LANL. |
| Dec 01, 2024 | New paper FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems. Collaboration with Matthieu Terris and Thomas Moreau from INRIA Saclay. |
| Nov 25, 2024 | New paper ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction. |
| Nov 21, 2024 | Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration was accepted to Biomedical Physics & Engineering Express. |
| Oct 02, 2024 | New paper Stochastic Deep Restoration Priors for Imaging Inverse Problems. This paper was done in collaboration with Mauricio Delbracio and Peyman Milanfar from Google. |
| Sep 01, 2024 | Chicago Park joins Computational Imaging Group (CIG) as a PhD student. He was previously a research intern at the Los Alamos National Laboratory. He graduated summa cum laude with a BS degree in Computer Science from WashU. |
| Aug 30, 2024 | FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration was accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). |
| Aug 08, 2024 | Bioengineering approaches for patient-specific analysis of placenta structure and function was accepted to Placenta. |
| Aug 05, 2024 | I have co-organized the IMSI Workshop on Computational Imaging in Chicago, IL, USA, on 5-9 August. |
| Aug 01, 2024 | My former PhD student Yu Sun is now an Assistant Professor at the ECE department of the Johns Hopkins University. |
| Jul 30, 2024 | I received an unrestricted research gift from Google Research for the project “Innovative algorithms for computing solutions to imaging inverse problems using pretrained (generative) models”. |
| Jul 24, 2024 | New paper CDDIP: Constrained Diffusion-Driven Deep Image Prior for Seismic Image Reconstruction. |
| Jul 11, 2024 | I finished my sabbatical at the École Normale Supérieure in Paris, France. Big thanks to my hosts Sylvain Gigan and Giulio Biroli, as well as Gabriel Peyre. |
| Jul 01, 2024 | My former PhD student Xiaojian Xu is now an AI Research Scientist at the GE HealthCare. |
| Jun 17, 2024 | My PhD student Jiaming Liu has defended his PhD thesis “Learning-based Artifacts Removing Priors for Computational Imaging”. He is now a Postdoctoral Fellow at Stanford. |