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We are extremely honered that our work“ORacle“ has received the Best Paper Runner-Up Award at MICCAI 2024! Huge thanks to our supervisors @MatthiasKeicher @NassirNavab #MICCAI2024 #BestPaperRunnerUp
🚨 New publication alert: 📢 “Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.” 🖊️ M Atad, D Schinz, H Moeller, R Graf, B Wiestler, @DanielRueckert, @NassirNavab, J S Kirschke, @MatthiasKeicher ⬇️
I am very happy to present „ORacle“ at #MICCAI2024 in the Surgical Data Science oral session on Tuesday 8th at 16:45 (Crystal Room). You can also come to the poster session to learn more scalable holistic OR modeling! @ChPellegrini @MatthiasKeicher @NassirNavab
Happy to share that "ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling" has been accepted at #MICCAI24. Paper: arxiv.org/abs/2404.07031 Code: github.com/egeozsoy/ORacle #LLM #SDS #LVLM #SGG #MLLM
Happy to share that "ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling" has been accepted at #MICCAI24. Paper: arxiv.org/abs/2404.07031 Code: github.com/egeozsoy/ORacle #LLM #SDS #LVLM #SGG #MLLM
How can we design adaptable and scalable methods for Holistic OR Domain Modeling? Towards this, we introduce ORacle arxiv.org/abs/2404.07031, a vision-language model, which incorporates multi-view and temporal capabilities and can leverage external knowledge during inference.
How can we design adaptable and scalable methods for Holistic OR Domain Modeling? Towards this, we introduce ORacle arxiv.org/abs/2404.07031, a vision-language model, which incorporates multi-view and temporal capabilities and can leverage external knowledge during inference.
Check out our new work, RaDialog, a large vision-language model for enhancing radiology report accuracy and interactive assistance! 🌐 chantalmp.github.io/RaDialog/ 📄 arxiv.org/pdf/2311.18681… 💻 github.com/ChantalMP/RaDi… @EgeOezsoy @BusamBenjamin @NassirNavab @MatthiasKeicher @TumCamp
Matthias Keicher introducing some great works on multimodal (images, text, etc) learning at the #SurgicalDataScience Summer School! #Edu4SDS23
Thrilled to share that our paper on automated structured radiology reporting, which introduces the Rad-ReStruct benchmark & hi-VQA method, was accepted at #MICCAI2023! Arxiv: arxiv.org/abs/2307.05766 Github: github.com/ChantalMP/Rad-… @MatthiasKeicher @EgeOezsoy @NassirNavab @TumCamp
We are happy to share that our new work "Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis" was accepted at #MICCAI2023 @MatthiasKeicher @EgeOezsoy @NassirNavab @TumCamp Arxiv: arxiv.org/pdf/2303.13391… Demo: huggingface.co/spaces/CAMP-Vi… Code: github.com/ChantalMP/Xpla…
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Who to follow
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Chantal Pellegrini
@ChPellegrini -
Benjamin Busam
@BusamBenjamin -
Federico Tombari
@fedassa -
Dani Velikova
@danivelikova -
TUM CAMP
@TumCamp -
Sasan Matinfar
@MatinfarSasan -
Kamilia Zaripova(Mullakaeva)
@kr_zaripova -
Kun Yuan
@KY_Yuan1 -
Magda Paschali
@magdapasc -
Ashkan Khakzar
@ashk__on -
Ege Oezsoy
@EgeOezsoy -
Zhongliang Jiang
@JiangZhongliang -
Azade Farshad
@azadef -
Mehdi Astaraki
@AstarakiMehdi -
Vasilis Belagiannis
@bazile
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