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ORCIDKeno K. Bressem
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2020 – today
- 2024
[j5]Keno K. Bressem
, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
medBERT.de: A comprehensive German BERT model for the medical domain. Expert Syst. Appl. 237(Part C): 121598 (2024)- [j4]Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C. Adams, Keno K. Bressem:
Navigating the European Union Artificial Intelligence Act for Healthcare. npj Digit. Medicine 7(1) (2024) - [c2]Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno K. Bressem, Wolfgang Nejdl, Alexander Löser:
Revisiting Clinical Outcome Prediction for MIMIC-IV. ClinicalNLP@NAACL 2024: 208-217 - [c1]Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno K. Bressem, Stavros Zanos, Felix Gers, Wolfgang Nejdl, Alexander Löser:
Boosting Long-Tail Data Classification with Sparse Prototypical Networks. ECML/PKDD (7) 2024: 434-449 - [i17]Jean-Baptiste Excoffier, Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Keno K. Bressem, Matthieu Ortala:
Generalist embedding models are better at short-context clinical semantic search than specialized embedding models. CoRR abs/2401.01943 (2024) - [i16]Lisa Adams, Felix Busch, Tianyu Han, Jean-Baptiste Excoffier, Matthieu Ortala, Alexander Löser, Hugo J. W. L. Aerts, Jakob Nikolas Kather, Daniel Truhn, Keno K. Bressem:
LongHealth: A Question Answering Benchmark with Long Clinical Documents. CoRR abs/2401.14490 (2024) - [i15]Felix J. Dorfner, Liv Jürgensen, Leonhard Donle, Fares Al Mohamad, Tobias R. Bodenmann, Mason C. Cleveland, Felix Busch, Lisa C. Adams, James Sato, Thomas Schultz, Albert E. Kim, Jameson Merkow, Keno K. Bressem, Christopher P. Bridge:
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports. CoRR abs/2402.12298 (2024) - [i14]Hartmut Häntze, Lina Xu, Leonhard Donle, Felix J. Dorfner, Alessa Hering, Lisa C. Adams, Keno K. Bressem:
Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans. CoRR abs/2405.03713 (2024) - [i13]Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Daniel Truhn, Hugo J. W. L. Aerts, Mathias Prokop, Bram van Ginneken, Alessa Hering, Lisa C. Adams, Keno K. Bressem:
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. CoRR abs/2405.06463 (2024) - [i12]Felix J. Dorfner, Janis Lucas Vahldiek, Leonhard Donle, Andrei Zhukov, Lina Xu, Hartmut Häntze, Marcus R. Makowski, Hugo J. W. L. Aerts, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Mikhail Protopopov, Hildrun Haibel, Torsten Diekhoff, Murat Torgutalp, Lisa C. Adams, Denis Poddubnyy, Keno K. Bressem:
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection. CoRR abs/2405.07369 (2024) - [i11]Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn:
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. CoRR abs/2407.15621 (2024) - [i10]Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem:
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data. CoRR abs/2408.13833 (2024) - [i9]Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno K. Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei:
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors. CoRR abs/2409.00544 (2024) - 2023
- [j3]Felix Busch, Lina Xu, Dmitry Sushko, Matthias Weidlich, Daniel Truhn, Gustav Müller-Franzes, Maurice M. Heimer, Stefan Markus Niehues, Marcus R. Makowski, Markus Hinsche, Janis Lucas Vahldiek, Hugo J. W. L. Aerts, Lisa C. Adams, Keno K. Bressem:
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Comput. Methods Programs Biomed. 234: 107505 (2023) - [i8]Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023) - [i7]Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem:
MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data. CoRR abs/2304.08247 (2023) - [i6]Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn:
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR abs/2309.17007 (2023) - [i5]Felix Busch, Tianyu Han, Marcus R. Makowski, Daniel Truhn, Keno K. Bressem, Lisa Adams:
From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties. CoRR abs/2311.14777 (2023) - 2022
- [j2]Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem:
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine 148: 105817 (2022) - [i4]Lisa C. Adams, Felix Busch, Daniel Truhn, Marcus R. Makowski, Hugo J. W. L. Aerts, Keno K. Bressem:
What Does DALL-E 2 Know About Radiology? CoRR abs/2209.13696 (2022) - [i3]Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno K. Bressem, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR abs/2212.09162 (2022) - 2021
- [j1]Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues:
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinform. 36(21): 5255-5261 (2021) - [i2]Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams:
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. CoRR abs/2101.09976 (2021) - 2020
- [i1]Keno K. Bressem, Lisa Adams, Christoph Erxleben, Bernd Hamm, Stefan Markus Niehues, Janis Lucas Vahldiek:
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. CoRR abs/2002.08991 (2020)
Coauthor Index
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