Programme

MICCAI 2026 Workshop on Computational Diffusion MRI

CDMRI Workshop, room Churchill, floor U

ALL TIMES ARE GIVEN IN GMT+2 (Central European Summer Time)

Welcome (8:00 - 8:10)

8:00 - 8:10

Welcome and Introduction

Keynote Lecture 1 (8:10 – 8.40)

Prof. Fan Zhang

University of Electronic Science and Technology of China

Computational Diffusion MRI

Oral Session 1 (8.40 - 10.00)

8.40 - 8.53	Experimental Study of the Impact of Virtual Reality on Fiber Bundle Editing and Annotation Speaker: Sylvain Bouix
8.53 - 9.06	Spatial Masked-Set Learning for Sparse Multi-Shell Diffusion MRI Signal Synthesis Speaker: Yousef Sadegheih
9.06 - 9.19	AdaViT: Adaptive Viral Tracing Informed Tractography Speaker: Charles Poirier
9.19 - 9.32	DiffBench: A Benchmark Toward Reproducible Evaluation in Diffusion MRI Prediction Speaker: Gabriela P. Gomez Jimenez
9.32 - 9.45	In-Plane Super-Resolution: A Feasibility Study Speaker: Laurin Mordhorst
9.45 - 9.58	Region-Agnostic Multi-Tissue Segmentation of Brain MRI: Application to Temporal Lobe Epilepsy Resections Speaker: Laura Bogs

Poster session & coffee (10:00 - 10:30)

Keynote Lecture 2 (10.30 - 11.00)

Dr. Chiara Maffei

Harvard Medical School, Massachusetts General Hospital, USA

Tractography Beyond Diffusion MRI: Multimodal Validation and Anatomical Priors

Oral Session 2 (11.00 - 11.55)

11.00 - 11.13	Region Specific Sample Size Requirements for Calibrated Normative Modeling of Diffusion Tensor Imaging Fractional Anisotropy Across the Lifespan Speaker: Julio Ernesto Villalon Reina
11.13 - 11.26	Quantitative R2 Estimation from Multi-Parameter and dMRI Measurements using Neural Networks Speaker: Jan Meyer
11.26 - 12.39	Segmentation-Conditioned Latent Diffusion for Prostate High-b-value DWI and ADC Synthesis Speaker: Kangwoo Park
11.39 - 11.52	Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology Speaker: Joselyn Romero Avila

Keynote Lecture 3 (11.55 - 12.25)

Prof. Bas Rokers

New York University Abu Dhabi, United Arab Emirates

Diffusion MRI of the Optic Pathways

Closing Remarks (12.25 - 12.30)

Keynote Speaker Bios

Prof. Bas Rokers

New York University Abu Dhabi, United Arab Emirates

Bas Rokers, Ph.D. is a Professor, Director of the Center for Brain Health, and the ASPIRE Precision Medicine Research Institute at NYU Abu Dhabi, as well as Global Network Professor at the New York University. His work has elucidated the neural mechanisms underlying visual perception by revealing the links between sensory input, neural activity and perceptual experience, particularly in the context of motion perception and dMRI-based brain connectivity. He has used virtual and augmented reality extensively to reveal the neural basis and limitations of the processing of three-dimensional motion. His research has informed technological innovation in the domain of Virtual Reality/Augmented Reality and has applications in healthcare, improving the understanding and treatment of visual disorders. Prof. Rokers’s work has appeared in Nature Neuroscience, Current Biology, and PNAS. Finally, he is a regular science advocate, most notably through National Geographic’s Brain Games TV series and the University of Wisconsin Virtual Brain Project.

Dr. Chiara Maffei

Harvard Medical School, Massachusetts General Hospital, USA

Dr Chiara Maffei is a Cognitive Neuroscientist with a strong background in computational neuroimaging. Chiara's research focuses on developing and applying advanced automated diffusion MRI (dMRI) tractography tools to delineate connectional neuroanatomy and quantify white matter pathology in the central nervous system. A central component of her research is multi-scale validation. By integrating high-resolution ex vivo MRI, optical imaging, and animal tracer data, Chiara evaluates and refines tractography algorithms to enhance anatomical accuracy and deepen our understanding of brain connectivity. This work has enabled the development of white matter atlases from sub-millimeter dMRI, which improves automated reconstruction of pathways and support applications such as deep brain stimulation (DBS) targeting in clinical and research contexts. Chiara is particularly interested in elucidating brain circuit dysfunction in mental illness, using in vivo mapping and microstructural characterization of axonal pathways to identify biomarkers of neuroinflammation and neurodegeneration, improve prognostication, and define targets for therapeutic interventions aimed at promoting recovery.

Prof. Fan Zhang

University of Electronic Science and Technology of China (UESTC)

From 2015 to 2023, Fan was a visiting scholar, a postdoctoral researcher, and then a faculty member at Harvard Medical School (HMS) in the USA. In 2016, he received his PhD degree in Computer Science from The University of Sydney (USYD) in Australia. Fan's research focuses on developing advanced technologies for medical image analysis and neuroimage computing, with a focus on diffusion MRI.