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Keno Bressem

@kbressem.bsky.social
131 followers 90 following 2 posts

Radiologist interested in deep learning for radiology

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Reposted by Keno Bressem
Universität Duisburg-Essen @unidue.bsky.social · 16/09/2026
#NeuanderUDE: @kbressem.bsky.social ist neuer Professor für Medizinische Datenwissenschaften in der Onkologie an der UDE & am Nationalen Centrum für Tumorerkrankungen (NCT) West. Er verbindet klinische Erfahrung mit Forschung an der Schnittstelle von KI, maschinellem Lernen und medizinischen Daten.
Portrait von Prof. Dr. Keno Bressem mit Text: Erste NCT Professur am NCT West. Keno Bressem startet in Essen.
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Reposted by Keno Bressem
Radiology: Artificial Intelligence @radiology-ai.bsky.social · 10/08/2025
MRSegmentator accurately segmented 40 anatomical structures on #MRI and #CT across 3 external datasets doi.org/10.1148/ryai.240477 @kbressem.bsky.social #segmentation #MachineLearning #AI
Image from article in Radiology: Artificial Intelligence
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Reposted by Keno Bressem
Radiology: Artificial Intelligence @radiology-ai.bsky.social · 08/08/2025
New comprehensive whole-body MRI #segmentation tool: MRSegmentator doi.org/10.1148/ryai.240477 @kbressem.bsky.social #MRI #MachineLearning #AI
Image from article in Radiology: Artificial Intelligence
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Reposted by Keno Bressem
Radiology: Artificial Intelligence @radiology-ai.bsky.social · 07/08/2025
MRSegmentator accurately segments 40 anatomic structures on MRI and generalized to CT doi.org/10.1148/ryai.240477 @kbressem.bsky.social #CT #radiology #AI
Image from article in Radiology: Artificial Intelligence
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Reposted by Keno Bressem
Radiology: Artificial Intelligence @radiology-ai.bsky.social · 09/08/2025
MRSegmentator accurately segmented 40 anatomical structures on #MRI and #CT across 3 external datasets doi.org/10.1148/ryai.240477 @kbressem.bsky.social #radiology #MachineLearning #AI
Image from article in Radiology: Artificial Intelligence
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Reposted by Keno Bressem
Tugba Akinci D'Antonoli @tugbaakinci.bsky.social · 15/05/2025
📢 Check out our new article on cybersecurity threats posed by LLMs @radiology-ai.bsky.social 🔗 doi.org/10.1148/ryai... @judywawira.bsky.social @alitejanimd.bsky.social @shahriarfaghani.bsky.social @bardiakh.bsky.social @cxbln.bsky.social @kbressem.bsky.social @felixbusch.bsky.social @Lisa @Mana
doi.org
Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care | Radiology: Artificial Intelligence
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and p...
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Keno Bressem @kbressem.bsky.social · 11/12/2024
Very impressive. aistudio.google.com/live truly feels like SciFi.
aistudio.google.com
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Reposted by Keno Bressem
Philipp Schmid @philschmid.bsky.social · 28/11/2024
First open-weights for OpenAI-o1-like reasoning model! QwQ from the Qwen team is a 32B model that beats OpenAI O1 mini and competes w/ O1 preview and is available under Apache 2.0 on Hugging Face! 🤯
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Reposted by Keno Bressem
Jakob Nikolas Kather @jnkt.bsky.social · 26/11/2024
Regular reminder to science Bluesky: do not submit your work to MDPI or Frontiers journals
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Reposted by Keno Bressem
Christian Bluethgen @cxbln.bsky.social · 24/11/2024
As people move from proof-of-principle to more serious evaluations of LLMs, including assessment of statistical significance, insights from decades of statistical research can be useful. Nice blog post & paper with practical recommendations for #LLM evaluation. www.anthropic.com/research/sta...
anthropic.com
A statistical approach to model evaluations
A research paper from Anthropic on how to apply statistics to improve language model evaluations
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Reposted by Keno Bressem
Christian Bluethgen @cxbln.bsky.social · 23/11/2024
A small starter pack for accounts in the radiology/AI space (or prolific in either of those fields) - happy to add more! go.bsky.app/9Drtasz #RadSky #Radiology #AI
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