Ivan Ezhov

AI in Medicine
TU Munich

[Ivan Ezhov @i_ezho]

@maier_ak Thank you, Andreas!

[Ivan Ezhov @i_ezho]

The corresponding paper can be found here: https://t.co/HKwSbH2mxn

#miccai #miccai2025 @MICCAI_Society @IliasTachtsidis @Dr_FLange @neuronflow @jonasweidner @WomenInMICCAI

[Ivan Ezhov @i_ezho]

We are happy to announce that our paper was just rejected by MICCAI.

If you are interested in our work, please come talk to us during the poster session in the hall of our lab office.

[Florian Kofler @neuronflow]

We present MultiOrg: an #organoid dataset tailored for #object_detection tasks with #uncertainty quantification. Over 400 high-resolution 2D #microscopy images and multi-expert annotations of more than 60,000 organoids.
Paper: https://t.co/39WjGkSVF4
Data: https://t.co/64vBOSvPGi

[HyperProbe Project @HyperProbe_eu]

🧠Have you heard about the HyperProbe project? Funded by @EU_EISMEA under #HorizonEU, we're developing a game-changing device for brain surgery using #hyperspectral #imaging. Watch the video to learn more and stay tuned for updates!
https://t.co/VMosnaPbVi

[Ivan Ezhov @i_ezho]

@ChPellegrini @MatthiasKeicher @EgeOezsoy @NassirNavab @TumCamp Congrats, Chantal! Very good start of your PhD.

[menze_group @menze_group]

TopCoW challenge happening at MICCAI 2023! First public challenge on Circle of Willis (CoW) vessel segmentation on two common angiographic imaging modalities MRA and CTA!

We look forward to your registration at https://t.co/IMYISxPViV Submission is until mid-late Sep. 🐮

[BraTS inpainting @BraTS_inpaint]

Ever wondered what the brain of a tumor patient looked like before they developed the disease? This question keeps doctors awake at night. Help them by joining the BraTS Inpainting Challenge!
https://t.co/ikNlwbjDL6
#AI #MachineLearning #DeepLearning #computervision #glioma #ml

[Ivan Ezhov @i_ezho]

@jeskdef @IsottaLandi Congrats, Jess!

[Ivan Ezhov @i_ezho]

@MohsenFyz @CVPR @CSProfKGD @JustinTrudeau Dear @CVPR, given that CVPR is de facto the main computer vision conference, would it make sense to start organizing it in countries with less strict entry requirements?

[Ivan Ezhov @i_ezho]

Hi there, if you are interested in for-loops or inverse problems in general, come chat to us today at @SymposiumML4H #NeurIPS2022

[Ivan Ezhov @i_ezho]

Check out our latest work that just got accepted to MedIA. We show how to solve the inverse problem for brain tumor modeling in a couple of minutes instead of weeks.

Paper: https://t.co/R3IxrPrMFN
Code: https://t.co/hdVOS7xn4c

[Ivan Ezhov @i_ezho]

@florianhoelzl Cool that you are in Amsterdam! Would love to chat

[Ivan Ezhov @i_ezho]

@sacdallago @rostlab @sandercbio @KevinKaichuang Congrats, Christian! Keep it up

[Ivan Ezhov @i_ezho]

just 150$ more and our remote school in Nepal will have the library
https://t.co/HtyVveD7GA

[Suprosanna @supro_s]

Delighted to announce our recent #ECCV2022 acceptance 'Relationformer: A Unified Framework for Image-to-Graph Generation.' A joint effort from @menze_group @LMU_Muenchen @aimlab_tum @DQBM_uzh @TRABIT_ITN
Preprint: https://t.co/jyFKzZThpZ
Code: https://t.co/4CQQUA8uX6
(1/4)

[Tim Behrens @behrenstimb]

I had the privilege to be on a zoom call with Francis Collins (Outgoing NIH director) today. I asked him why NIH didn’t give full backing to open non-profit publishing. He replied this would likely lead to NIH funding cuts due to commercial journals’ lobbying power in US govt.

[Ivan Ezhov @i_ezho]

We finally made it to @IEEE_TMI. Happy Christmas to all authors... and R3 of course!

[IEEE-TMI @IEEE_TMI]

https://t.co/8T1ew0MGZF

[Johannes C. Paetzold @jocpae]

Finally, #NeurIPS2021 is on and we are proud to present our paper on:
Whole Brain Vessel Graphs: A Dataset and Benchmark for #graph Learning and #neuroscience
With this work we hope to introduce real biological datasets to #ml research. @erturklab @guennemann @menze_group

[Ivan Ezhov @i_ezho]

The 1st place solution for the federated learning challenge FETS2021 is out. #federatedlearning #clinicaldata #miccai2021

[arXiv Daily @Arxiv_Daily]

FedCostWAvg: A new averaging for better Federated Learning
https://t.co/Bvk7v42T4F
by Leon Mächler et al. including @i_ezho
#MachineLearning #ComputerScience