The workshop will feature a dynamic and interactive program designed to engage participants through diverse formats. Keynote talks by renowned experts will provide insights into the latest advancements and emerging trends in reconstruction and motion estimation. Scientific talks (undergoing scientific peer-review), and an open panel discussion in the end will foster knowledge exchange, encourage collaboration, and provide a platform for addressing key challenges and identifying future directions in the field.

Keynote Speakers

Murray

PhD Victor Murray

Assistant Attending Physicist in the Department of Medical Physics at the Memorial Sloan Kettering Cancer Center

Cai

Prof. Jing Cai

Head(HTI) & Chair Professor of Medical Physics and Intelligent Oncology at The Hong Kong Polytechnic University

Program

The workshop will take place on 27th of September 2026 from 13:30 to 18:00 at the Strasbourg Convention Center, France, Room Leicester (U).  
Time Session Speaker / Affiliation
13:30–13:35 Welcome and Opening Remarks
13:35–14:20 Keynote 1: Precision Motion Estimation for 4D Imaging: Algorithms and Applications Prof. Jing Cai, Hong Kong Polytechnic University
14:20–14:28 Domain-Adapted Bi-Planar RAFT for Dense 3D Cardiac Motion Estimation Nubia Correa, Stanford University, USA
14:28–14:36 Physics-Guided Noise2Noise Plug-and-Play MBIR for Ultra-Low-Dose CT Reconstruction Sayantan Dutta, GE HealthCare, India
14:36–14:44 An Anatomy-Driven Thoracic Respiratory Motion Model with Population-Calibrated Presets Lukas Zimmermann, Medical University of Vienna, Austria
14:44–14:52 DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction Can Deniz Bezek, Uppsala University, Sweden
14:52–15:00 FetalSense: Anatomy-Guided Fetal–Probe Motion Disentanglement in Freehand Ultrasound Sowjanya Balaji, IIT Madras, India
15:00–15:08 Self-Supervised Multi-Contrast MRI Reconstruction via Permutation-Driven Contrast Invariance Kian Anvari Hamedani, University of Toronto, Canada
15:08–15:26
Poster Power Pitches (2 minutes each)
  • End-to-end Adaptive k-space Sampling, Reconstruction and Registration for Dynamic MRI
    George Yiasemis, Netherlands Cancer Institute, Netherlands
  • A Hierarchical Patch-wise Wavelet Loss for High-Frequency Detail Preservation in Accelerated MRI Reconstruction
    Narges Razizadeh, University of Alberta, Canada
  • Adaptive Prior-Guided Cold Diffusion for Accelerated MRI Reconstruction
    Shunsuke Fukutomi, Nagoya Institute of Technology, Japan
  • 3D Multi-Coil Brain MR k-Space Dataset for Deep Learning-Based Undersampled Reconstruction
    Susanne Schmid, University of Calgary, Canada
  • CUPA-T2*: Covariance-Aware Uncertainty Propagation and Alignment for T2* Mapping in Accelerated MRI
    Gideon N. L. Rouwendaal, Helmholtz Munich, Germany
  • STUNet: A Spatiotemporal Deep Learning Approach for 7T fMRI Denoising
    Thomas Alan Loboy Ramos, TH Ingolstadt, Germany
  • Contrast-Reversal Augmentation for Adult-to-Neonatal MR Image Reconstruction: Pretraining and Fine-Tuning Strategies
    Stephen Moore, University of Calgary, Canada
  • TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR
    Fayaz Ali Dharejo, University of Würzburg, Germany
  • Generative Priors for Total-Body PET Reconstruction
    Movindu Dassanayake, King's College London, United Kingdom
Multiple presenters
15:30–16:00 Coffee Break
16:00–16:45 Keynote 2: The Power of Deep Learning for Fast and Motion-Robust Body MRI PhD Victor Murray, Memorial Sloan Kettering Cancer Center
16:45–16:55 Industry Talk: TBA Oliver Kutter, NVIDIA
16:55–17:55 Poster Session
17:55–18:00 Awards and Closing Remarks

Prize Sponsorship