Jonas Dippel

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

[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: https://t.co/XqRNulzfK9
💻 Code: https://t.co/cLlxnYUojs

🧵1/3

[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: https://t.co/LFPEOAtIiE

[NEJM AI @NEJM_AI]

Original Article by @jdppel et al.: AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics https://t.co/u1NxNPIuZu

#ArtificialIntelligence

[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.: https://t.co/u1NxNPIuZu

[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

[Oliver Eberle @eberleoliver.bsky.social @EberleOliver]

Our work on historical insights at scale using machine learning is now out in @ScienceAdvances! Very proud of this team effort, bridging disciplines and institutions—@MPIWG @TUBerlin @bifoldberlin @ml_tuberlin

📜https://t.co/pLWBmCa2W5

[Jonas Dippel @jdppel]

@bifoldberlin @ml_tuberlin @TUBerlin @ChariteBerlin @LMU_Muenchen @rptu_kl_ld @AIgnostics

[Jonas Dippel @jdppel]

🧵I am excited to share that our paper: AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics has now been published in @NEJM_AI .

https://t.co/GsQLrfTb0x

[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.

[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/

[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: https://t.co/ObHQGsTrbl

#ASCO24 #PrecisionMedicine

[ML Group, TU Berlin @ml_tuberlin]

🚨 We have 2 open #PhD positions!

Come join us @TUBerlin. We offer cutting edge #research ranging from #XAI over #Probabilistic #Modelling to #AI4Science 🧬

Check out our research profile 👉 https://t.co/5SZKwWrUIh

Apply here 👉 https://t.co/Y4XCY0kqgx

#AI #MachineLearning

[Lukas Muttenthaler @lukas_mut]

The camera-ready version is now available on arXiv! 🔥 We've updated our manuscript with results for a few interesting experiments that were suggested by the reviewers during the rebuttal period. See the thread below👇

[BIFOLD @bifoldberlin]

Congrats to the team. The paper “Improving neural network representations using human similarity judgments” will be presented at the @NeurIPSConf.

[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:
https://t.co/aGlgLyNRtv
(application deadline: Sep 08, 2023)

[Jonas Dippel @jdppel]

We built a new website for our lab🧑‍💻 Check out researchers, publications, courses and software from our group!

[ML Group, TU Berlin @ml_tuberlin]

We have a new website 🎉

Thanks to all the people who put countless hours into making it look as amazing as it does!

Want to learn more about our team, #research, open positions and offered courses?

Check it out 👉 https://t.co/zQJozOBcIJ

#MachineLearning #Berlin

[Oliver Eberle @eberleoliver.bsky.social @EberleOliver]

Come pursue your PhD and work with us @TUBerlin @bifoldberlin with @MPIWG @M_Valleriani @ml_tuberlin

Full-time Research Assistant position exploring the intersection of #MachineLearning and the #DigitalHumanities: 📚🔭💻🔎

https://t.co/iocooGaNnI