🚀 ¿Trabajas en biociencias fuera de 🇪🇸 y quieres volver? 🎤 Presenta tu investigación en las jornadas “Jóvenes investigadores en biociencias: experiencias desde el extranjero” 🧬✨ 📅 22/12/25, Sala Ramón Areces (Madrid) 🌱 Organizadas por CBM y @CNB_CSIC, centros @SOMM_alliance

#MICCAI2024 is still not over!!! Come by #UNSURE2024 workshop if you are interested in safety aspect of machine learning in medical imaging. Room: Oliveraie in the conference center We start with amazing tutorial sessions: https://t.co/QNaTl7LlZ0

Hey, we've got a new edition of our Uncertainty Quantification for Medical Image Analysis tutorial coming up at #MICCAI2024 This time we are happy to do this in collaboration with @UNSURE_Workshop https://t.co/T0Qir7KUkY Come and say hello 😉 @MeriBach @MiccaiStudents

🍻EXCITING DAY: Our @naturemethods sister publications on #MetricsReloaded are out🎉. Recommendations: https://t.co/kIEWf2YY0o Pitfalls: https://t.co/IP914XeDCC @helmholtz_image @bias_sig @ProjectMONAI @NCT_HD @DKFZ Important for the community: 1/

# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are

Thanks to all the participants and collaborators - our paper on assessing the generalisability of #deeplearning  methods for #polyp segmentation and detection tasks led by @vision_sharib - a #multicentre study is now published at @SciReports Full article: https://t.co/Gi1NhHce6J

Can you make a jigsaw puzzle with two different solutions? Or an image that changes appearance when flipped? We can do that, and a lot more, by using diffusion models to generate optical illusions! Continue reading for more illusions and method details 🧵

Thrilled that our 'Dive into Deep Learning' book, now published by Cambridge University Press, is the Top New Release on Amazon! To ensure accessibility and affordability, we, the authors, have waived our royalties. Plus, it's always available for free at https://t.co/NseHCGp1ec

This week, I wrote about the Great Enshittening - the digital services we rely on becoming extractive piles of shit. It didn't result from the decaying the morals of tech leaders, but from the collapse of the forces that discipline corporations: https://t.co/R5PxBk1MZZ 1/

1/5.Do you wonder which is the best loss function to use in your medical segmentation model? It is widely argued within the medical-imaging community that Dice and CE losses are complementary, which has motivated the use of compound CE-Dice losses (the de-facto solution nowadays)

📢📢 Next #CVCSeminar! This time, Dr @adrian_galdran, Marie Skłodowska-Curie Research Fellow at @UPFBarcelona, will lecture on "#Calibration in #NeuralNetworks". Join us! 🗓️ 03 November 🕘 11:30 am 📍 #CVC Conference Room Read the abstract ➡️ https://t.co/iWJLegaiqO

C.C. @magonballester @BCN_MedTech @SycaiT

If you are at MICCAI, come visit our Uncertainty Quantification tutorial! We have an amazing line-up of speakers, including @ml_angelopoulos talking about #conformalprediction and @c_f_baumgartner about uncertainty quantification beyond classification/segmentation.

1/5. Are you looking for a PhD position in an exciting field? In collaboration with @MariaVakalopou1 we have a fully funded PhD position in the field of medical image processing. #PhDposition #deeplearning #research #medicalimaging

In the LLM-science discussion, I see a common misconception that science is a thing you do and that writing about it is separate and can be automated. I’ve written over 300 scientific papers and can assure you that science writing can’t be separated from science doing. Why? 1/18

If you are at #CVPR2023 drop by to see our posters for tomorrow. AM: 289 - A strong baseline for generalized few-shot semantic segmentation. PM: Class adaptive network calibration. with @IsmailBenAyed1 @bing_bingyuan @jerome_rony @adrian_galdran Sina Hajimiri and Malik Boudiaf

I was recently on a panel with several other professors and we were asked to give some tips to graduate students in machine learning. It got me thinking about why professors are so bad at giving advice. So here are some reasons why you should not take advice from professors.

@MICCAI_Society 2023: I’m co-organizing two thrilling events this year! 1⃣The @imimicworkshop with @mreyesag @wilsondasilva19 @amithjkamath: we're accepting submissions! 2⃣🆕Tutorial on Uncertainty Quantification with @adrian_galdran @MeriBach @AndreyMalinin Check them out 🙃

A Tutorial on Model Calibration for Neural Nets By @adrian_galdran , Medical Image Analysis and Machine Learning at University of Adelaide + UPF Thursday June 15th, 15:00, room 51.100 @BCN_MedTech @magonballester

How to write a rebuttal for a conference? Writing an effective rebuttal helps answer questions, address reviewers' concerns, clarify misunderstandings, and help the AC make an informed decision. But it takes work to write a good one. 😟 Sharing some tips I found useful. 🧵