Poster on an efficient feature-based polyaffine initialization for improved non-linear image registration

Better generalization of white matter tract segmentation via scaled residual bootstrap

Poster on MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes

Poster on S2DGAN: Generating dual energy CT from single-energy CT for real-time determination of intracerebral hemorrhage

Poster on blob loss instance imbalance aware loss functions

Poster on Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape

Poster explaining how multi-contrast fuaion enables self-supervised tomographic image denoising

Scalable orthonormal projective NMF via diversified stochastic optimization

Last keynote of IPMI 2023 about to start now with speaker being Gitta Kutyniok!

And as it could not be otherwise, the traditional IPMI football match in the homecountry of football

Last day of IPMI 2023 starts off with an oral talk on brain connectomics!

Second oral talk of Day 5 beginning now, on harmonization flows...

And... Last oral talk of IPMI 2023 coming up now...

Award ceremony begins!!

I feel very honored to have received the 𝐅𝐫𝐚𝐧𝐜𝐨𝐢𝐬 𝐄𝐫𝐛𝐬𝐦𝐚𝐧𝐧 𝐏𝐫𝐢𝐳𝐞 at IPMI2023 for my presentation of Med-NCA (Camila González, Anirban Mukhopadhyay, hessian.AI). I would like to thank the organizers (Prof Alejandro Frangi FREng, Demian Wassermann, Enzo Ferrante) for this amazing event.

Safe travels to everyone. Air view of Buenos Aires courtesy of Niharika D’Souza. It is great to see everyone enjoyed IPMI 2023 so much

I get asked a lot: why stay in academia, all the excitement in AI is happening in industry with massive compute. And I am seeing some profs leaving academia, but also seeing lots of researchers in industry looking to go back to academia, especially those who don’t work on LLMs.

🪘Lecturer in Medical Imaging and Modelling. Keywords: representation learning from multimodal data, generative AI for building virtual patient populations, causality and fairness in ML for in silico trials, geometric deep learning, and physics-informed ML tinyurl.com/AIinCMS

I met so many people (students, researchers, and even investors) say they are so interested in understanding intelligence. Yet, they never bother to prepare themselves with the basic mathematical background. They wouldn't be able to understand anything even if a perfect theory is