Maxime Kayser

40 posts

Maxime Kayser

Maxime Kayser

@maximek3

Medical AI @ Oxford + MSK

Oxford, United Kingdom Katılım Kasım 2009
546 Takip Edilen145 Takipçiler
Glasgow Film Festival
Glasgow Film Festival@glasgowfilmfest·
Are you a GFT CineCard holder? Well it’s your lucky day, because you can now access tickets to the full GFF25 Programme! 🎉 Pick your favs and book now here: bit.ly/GFF25_alllisti… General sale commences Monday 27 Jan at 10:00. Costumes by @trontheatre
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Oana-Maria Camburu
Oana-Maria Camburu@oanacamb·
🥳🎉Incredibly happy that our paper received an ✨Outstanding Paper Award✨ at #EMNLP2024! Huge congrats particularly to @maximek3, who did an incredible job! So lucky to have you as my student! Check out our paper below ⬇️
Oana-Maria Camburu tweet media
Oana-Maria Camburu@oanacamb

🚨🌟Very excited to share our #EMNLP2024 work on XAI for healthcare 🩺 We did a large user study with 💫85 medics💫 to find out how natural language explanations and saliency maps influence clinical decision-making Check out the details below ⬇️ #XAI #Medical #UserStudy

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Maxime Kayser
Maxime Kayser@maximek3·
Are self-rationalizing VLMs helpful in a real-world, safety-critical setting? In our new #EMNLP2024 paper 🩺 we recruited 85 medics 🩻 and made them each collaborate with an AI on 80 X-rays under 4 different XAI scenarios arxiv.org/abs/2410.12284 It turns out that: 🧵 (1/n)
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Maxime Allard
Maxime Allard@allardmaxime079·
There are openings to come work with us on robots and recovery :)! Apply below or ping me if you are interested about doing applied research around robots :) Great chances to do some research before doing a PhD if you are not sure yet whether research if for you. 🤖🦎
Antoine Cully@CULLYAntoine

Hey! I am recruiting ASAP several Research Assistants/PostDocs to work on the DARPA LINC research program! If you have experience with Robotics, Machine Learning and Fast Recovery, including Quality-Diversity algorithms, consider applying. More info here: imperial.ac.uk/jobs/descripti…

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Maxime Kayser
Maxime Kayser@maximek3·
📏 Benchmarking different approaches We adapt several models for this new task and compare their performance using automatic and clinician-based evaluations. The results indicate that this is a promising new direction for explaining automated medical image analysis. (5/5)
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Maxime Kayser
Maxime Kayser@maximek3·
🗂 Introducing MIMIC-NLE We investigate this by proposing MIMIC-NLE, a high-quality dataset of 44,935 image-diagnosis-NLE triplets extracted from the radiology reports in MIMIC-CXR. The dataset is available at github.com/maximek3/MIMIC…. (4/5)
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