IPMI2023

Information Processing in Medical Imaging 2023

[IPMI2023 @ipmi2023]

Group picture at yesterday's excursion to Cerro Campanario and Punto Panorámico!!

[Yi Ma @YiMaTweets]

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 developed and presented to them. Truth about intelligence is not for the superficial nor the faint-hearted.

[Prof Alejandro Frangi FREng @affrangi]

🪘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 https://t.co/PMZzpGVcGe

[Russ Salakhutdinov @rsalakhu]

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.

I have spent some time and actively working with industry, and it has been a great experience, but for me the answer is simple:

1. Students: Nothing can replace working with really smart & amazing students.

2. Academic freedom: In general, industry will one way or another dictate what you should work on. Today it is LLMs, tomorrow it is something else. The good old days of "here is a cool idea, let me investigate and publish" are pretty much over. But as an academic, I can work on whatever I want: I can start working on "black holes" tomorrow if I choose to.

3. And my favourite one: No reorgs -- big tech really loves reorgs that happen every few months.

Finally, as an academic, I can always take some time off, work in industry or start-up, and come back if I want to. Going into industry is usually a one-way street: It is far easier to go to industry from academia and much harder the other way around.

[IPMI2023 @ipmi2023]

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

[John Kalkhof @kalkjo]

I feel very honored to have received the 𝐅𝐫𝐚𝐧𝐜𝐨𝐢𝐬 𝐄𝐫𝐛𝐬𝐦𝐚𝐧𝐧 𝐏𝐫𝐢𝐳𝐞 at @ipmi2023 for my presentation of Med-NCA (@camgbus, @anirbanakash, @Hessian_AI). I would like to thank the organizers (@affrangi, @demwassermann, @enzoferrante) for this amazing event.

[IPMI2023 @ipmi2023]

Award ceremony begins!!

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

Scalable orthonormal projective NMF via diversified stochastic optimization

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

Poster on blob loss instance imbalance aware loss functions

[IPMI2023 @ipmi2023]

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

[IPMI2023 @ipmi2023]

Poster on MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes

[IPMI2023 @ipmi2023]

Better generalization of white matter tract segmentation via scaled residual bootstrap

[IPMI2023 @ipmi2023]

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