Jonas Dippel

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Jonas Dippel

Jonas Dippel

@jdppel

PhD Student at @ml_tuberlin, @bifoldberlin and Data Scientist at @aignostics | Training large neural nets for computational pathology.

Berlin, Germany เข้าร่วม Aralık 2014
411 กำลังติดตาม113 ผู้ติดตาม
Jonas Dippel รีทวีตแล้ว
Laure Ciernik
Laure Ciernik@lciernik·
🎉 Update: This work got accepted to #icml2025!! Huge thanks to my amazing co-authors @LorenzLinhardt, Marco Morik, @jdppel, @skornblith, and @lukas_mut for their great work and to all collaborators! 🙏 📄 Paper: arxiv.org/abs/2411.05561 💻 Code: github.com/lciernik/simil… 🧵1/3
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Laure Ciernik@lciernik

If two models are more similar to each other than a third on ImageNet, will this hold for medical/ satellite images? Our preprint analyzes how vision model similarities generalize across datasets, the factors that influence them, and their link to downstream task behavior. 🧵1/7

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Jonas Dippel รีทวีตแล้ว
Mayo Clinic
Mayo Clinic@MayoClinic·
Mayo Clinic announced the formation of Mayo Clinic Digital Pathology, designed on a platform architecture to boldly unlock the power of its extensive archive of digital slides to revolutionize pathology and accelerate medical breakthroughs. Learn more: mayocl.in/4aeawwi
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NEJM AI
NEJM AI@NEJM_AI·
A deep anomaly detection approach for histopathology shows high detection performance for a broad range of diseases (including all cancers) within the long diagnostic tail in gastrointestinal biopsies. Read the full article by @jdppel et al.: nejm.ai/3YwvUZz
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Jonas Dippel รีทวีตแล้ว
Laure Ciernik
Laure Ciernik@lciernik·
If two models are more similar to each other than a third on ImageNet, will this hold for medical/ satellite images? Our preprint analyzes how vision model similarities generalize across datasets, the factors that influence them, and their link to downstream task behavior. 🧵1/7
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Jonas Dippel
Jonas Dippel@jdppel·
🙏 Thanks to my co-first author @n_prenissl , stellar supervision by @lukasruff , Klaus-Robert Müller, @FKlauschen and amazing contributions by @hense96, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, and Maximilian Alber.
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Jonas Dippel รีทวีตแล้ว
Frieda Born
Frieda Born@FriedaBorn·
Why do some memories fade in seconds, while others stay with us for life? Working Memory (WM) holds info for just moments, but certain bits manage to stick around and make it into Long-Term Memory (LTM). In our new ⚡️preprint⚡️, we examined what helps these memories stick. 1/
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Jonas Dippel รีทวีตแล้ว
AIGNOSTICS
AIGNOSTICS@AIgnostics·
The #aignostics team is heading to #ASCO2024! Interested in hearing about how we’re transforming precision medicine with our industry-leading foundation model and advanced machine learning algorithms? Let’s connect on June 2-3: lnkd.in/e7eTNxEw #ASCO24 #PrecisionMedicine
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Jonas Dippel รีทวีตแล้ว
BIFOLD
BIFOLD@bifoldberlin·
Congrats to the team. The paper “Improving neural network representations using human similarity judgments” will be presented at the @NeurIPSConf.
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Lukas Muttenthaler@lukas_mut

🚨Beep beep 🚨 Have you ever been wondering about how to use human similarity judgments for improving neural network representations? We have something for you! We found a transform that improves representational alignment and downstream task performance! arxiv.org/abs/2306.04507

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Jonas Dippel รีทวีตแล้ว
Matthias Boehm
Matthias Boehm@matthiasboehm7·
🎇 We have another opening for a PhD student position in the @bifoldberlin agility project 'LungCAIRE' with Charité on multimodal data representations for lung cancer relapse prediction and related use cases: jobs.tu-berlin.de/en/job-posting… (application deadline: Sep 08, 2023)
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ค้นพบ

@LorenzLinhardt @skornblith @lukas_mut @ScienceAdvances @TUBerlin @bifoldberlin @ml_tuberlin @ChariteBerlin