T.Wald

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T.Wald

T.Wald

@WaldTassilo

PhD Student @DKFZ in the field of medical image computing. Working on understanding learned representations.

Katılım Temmuz 2020
185 Takip Edilen62 Takipçiler
T.Wald retweetledi
p(doom)
p(doom)@prob_doom·
You really think we're going to scale data labelers to AGI? Today, we release the largest public long-horizon dataset of human digital work. 600h of long-horizon AGI research across 3 months. 🧵(1/n)
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Klaus Maier-Hein
Klaus Maier-Hein@maierhein·
Happy with our @MICCAI_Society challenge results, @mic_dkfz will be well represented at the upcoming conference in Marrakesh 🎉 congratulations to all team members who contributed 👏 . If you'd like to connect with our team, feel free to reach out.
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Timothy Raben
Timothy Raben@TimothyRaben·
The UK Biobank (UKB) has been an amazing field changing resource for the past decade. Unfortunately, and very suddenly, they have decided that to work with their data you now *must* use their “Research Analysis Platform” (RAP). @uk_biobank I guess there have been general warning
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Helmholtz
Helmholtz@helmholtz_de·
Jetzt auf der @republica: Unsere Session zu #FoundationModels - Open for science and open to the world: Eine neue Generation von #KI-Modellen, die Foundation Models, soll eine ganze Reihe von großen Herausforderungen in der Wissenschaft angehen und bewältigen. #rp24
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T.Wald
T.Wald@WaldTassilo·
Are you interested in how AI can improve healthcare? Catch @consti_ulrich and me tomorrow at the re:ception from 10:00 to 11:00 @republica and let's have a chat! #Helmholtz #rp24 #ArtificialIntelligence #radiology #Healthcare #WhoCares
Constantin Ulrich@consti_ulrich

Join us tomorrow at @republica! We will present our approach for a radiological #FoundationModel as part of the #Helmholtz Foundation Model Initiative Session: Foundation Models - Open for Science and Open to the World re:ception room 10:00-11:00 #rp24 #HFMI @mic_dkfz

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Priyank Jaini
Priyank Jaini@priyankjaini·
Will be presenting this work as a spotlight at #ICLR on Thursday. Please drop by our poster or DM me to know more about intriguing properties of generative classifiers. Joint work with @clark_kev and Robert Geirhos.
Priyank Jaini@priyankjaini

Excited to share our work on studying perceptual properties of #StableDiffusion, #Imagen & #Parti by evaluating them as zero-shot classifiers! We report four intriguing emergent properties of these models. 🧵👇 w. Robert Geirhos* & @clark_kev Paper: arxiv.org/abs/2309.16779

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Fabian Isensee
Fabian Isensee@FabianIsensee1·
📢 New nnU-Net variants 📢 The #MICCAI2024 challenge season has started and we are giving you the tools 🔧 to succeed. Use the new [and scalable] residual encoder presets in nnU-Net to get the most out of your datasets! How do they perform? 👉 arxiv.org/pdf/2404.09556…
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Fabian Isensee
Fabian Isensee@FabianIsensee1·
Concerning results: We've evaluated Transformer-, Mamba-, and CNN-based architectures, revealing widespread validation flaws in #MedicalImageSegmentation. Many claims of superiority do not withstand strict testing. Time to push for rigor in the field :) arxiv.org/pdf/2404.09556…
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Carsten T. Lüth
Carsten T. Lüth@CarTLueth·
🌐 Join us for a Special Talk on AI and Infectious Disease Outbreak Prediction with Prof. Joacim Rocklöv, leading Germany's first AI lab in this field. Discover how AI can revolutionize disease surveillance and prediction! 🔗 Details & Registration: heidelberg.ai/2024/01/31/joa…
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Lukas Klein
Lukas Klein@lukas_kln·
Our work on improving perovskite #photovoltaics⚡️ manufacturing through #XAI is finally out in Advanced Materials: bit.ly/3QpoQJ3 🎉 We also presented this work last week at the #NeurIPS2023 XAIA workshop as one of 4 selected orals out of 59 📊 🧵⬇️
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T.Wald
T.Wald@WaldTassilo·
Exciting news! 🎙️ Co-authored a paper spearheaded by my brilliant colleague @consti_ulrich being presented as an oral at MICCAI. 📄🔬 His great work unlocks all publicly available 3D medical datasets for segmentation. Proud to be a part of this! 🚀 #MICCAI2023 #research
Constantin Ulrich@consti_ulrich

📢 Exciting News! 🎉 I'm thrilled to announce that I'll be presenting my paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation" at #MICCAI2023. Join my oral presentation on Wednesday at 8:15 AM and the poster session at 9:30 AM (Poster W-05-080)

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UniReps
UniReps@unireps·
We're excited to announce the first edition of 🔵🔴 UniReps: the Workshop on Unifying Representations in Neural Models! 🧠 To be held at @NeurIPSConf 2023! SUBMISSION DEADLINE: 4 October Check out our Call for Papers, lineup of speakers and schedule at: unireps.org
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Keşfet

@MSFTResearch @huggingface @mic_dkfz @DKFZ_IMSY_lab @MICCAI_Society @uk_biobank @republica @consti_ulrich