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Happy to announce that #EndoVis has been accepted at #MICCAI2021 with 6 exciting new sub-challenges, stay tuned for more details endovis.grand-challenge.org Lena Maier-Hein New: @lena-maier-hein.bsky.social Dan Stoyanov Arnaud Huaulmé Sophia Bano CAMMA Jorge Bernal Annika Reihl Tobias Ross #BiomedicalChallenges

To those interested in creating a startup in medical imaging. Will a radiologist/hospital buy your #AI product? MICCAI doi.org/10.1007/s00330…

I keep seeing the line 'EU is having vaccine problems because it was too slow in negotiating contracts' repeated in 🇬🇧&🇺🇸 media. I want to push back on this narrative because I think it's missing where real EU-level mistakes lie. Let's review what happened in past year (🧵1/17)

10,000 annotated images for the #SurgicalDataScience /IPCAI community: rdcu.be/ciwMe. Thanks to nature /Scientific Data for acknowledging the value of (open) curated data. A DKFZ NCT Heidelberg Universitätsklinikum Heidelberg initiative with M. Wagner Tobias Ross et al. MICCAI

Takeaway from Andrej Karpathy's CVPR talk: The most successful ML projects in prod (Tesla, iPhone, Amazon drones, Zipline) are where you own the entire stack. They iterate not just ML algorithms but also: - how to collect/label data - infrastructure - hardware ML models run on

covariance vs. mutual information

Do Vision Transformers See Like Convolutional Neural Networks? New paper arxiv.org/abs/2108.08810 The successes of Transformers in computer vision prompts a fundamental question: how are they solving these tasks? Do Transformers act like CNNs, or learn very different features?

What is #Artificial #Intelligence #Surgery? aisjournal.net/article/downlo… Prof Dr M Mahir Ozmen Eyad Elyan 🇵🇸 IHPBA American College of Surgeons Salomone Di Saverio MD PhD FACS FRCS (Eng) International Society of Surgery (ISS/SIC) @wis_italia Mohamed Abu Hilal @konrad_karcz ArnarGeirssonMD Carla Pugh MD PhD @Friebe_Michael Belinda De Simone Pietro Mascagni Stefanie Speidel@NCTDresden TeachMeSurgery

Biases in AI Systems - ACM Queue bit.ly/3ifFKtM #AI #MachineLearning #DeepLearning #DataScience

9 Distance Measures in data science with algorithms. via: Dr. Ganapathi Pulipaka 🇺🇸

Can you detect COVID-19 using Machine Learning? 🤔 You have an X-ray or CT scan and the task is to detect if the patient has COVID-19 or not. Sounds doable, right? None of the 415 ML papers published on the subject in 2020 was usable. Not a single one! Let's see why 👇

Congratulations (now) Dr. Tobias Ross! Thanks for all your great personal and scientific contributions to @DKFZ_CAMI_lab!

How to achieve patient benefit with #SurgicalDataScience? Opinion of experts from 51 institutions based on multi-stage Delphi process. Just accepted by Medical Image Analysis authors.elsevier.com/a/1eC3w4rfPm6O… with many contributors from IPCAI @ellislifehd and MICCAI (1/3)

Congratulations on winning the GIANA polyp classifications challenge to Amine, Nuong and team! Keep up the great work🔥 Tobias Ross Silvia Seidlitz Tim Adler. Helmholtz AI DKFZ Data Science @ellislifehd

Excited to announce #EndoVis #MICCAI2022 challenge with 6 diverse sub-challenges: endovis.grand-challenge.org Stefanie Speidel@NCTDresden Lena Maier-Hein New: @lena-maier-hein.bsky.social Dan Stoyanov Annika Reihl Sophia Bano CAMMA WEISS The Hamlyn Centre Intuitive @sharib MICCAI #biomedicalchallenges

An important detail in pose optimization & bundle adjustment problems: each correspondence pair has 3 residuals (2 for re-projection errors)! Merging these into a single residual collapses rows of the underlying Jaccobi matrix and 2nd-order / quasi Newton solvers won't work.

🪙🪙🪙This is the paper I was waiting for: arxiv.org/abs/2207.07048 In full support of my hypothesis that most ML papers in healthcare are not very useful. Thanks Arvind Narayanan and Sayash Kapoor as well as Michael Hoffman @michaelhoffman.bsky.social for the catch! Highly relevant MICCAI SIG for Challenges MICCAI

Are you excited about both, advanced ML methods and healthcare applications? Then this Postdoc position might be a great fit for you. In collaboration with Ulli Köthe‘s lab, we will work on uncertainty-aware image analysis with invertible neural networks. MICCAI Students

One cannot point this out often enough, correlation != causality tylervigen.com/spurious-corre…

Agree that plain results tables are often not very meaningful? 🆕🆕🆕Then check out our "Beyond rankings" #MedIA paper: sciencedirect.com/science/articl… by Tobias Ross Annika Reinke et al. We address the question which properties of an image characterize failure cases. 1/2