Keno K. Bressem

According to our database, Keno K. Bressem authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

medBERT.de: A comprehensive German BERT model for the medical domain.

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

Expert Syst. Appl., March, 2024

Navigating the European Union Artificial Intelligence Act for Healthcare.

Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C. Adams, Keno K. Bressem

npj Digit. Medicine, 2024

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors.

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

CoRR, 2024

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.

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

CoRR, 2024

RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation.

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

CoRR, 2024

Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection.

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

CoRR, 2024

MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences.

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

CoRR, 2024

Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans.

Hartmut Häntze, Lina Xu, Leonhard Donle, Felix J. Dorfner, Alessa Hering, Lisa C. Adams, Keno K. Bressem

CoRR, 2024

Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports.

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

CoRR, 2024

LongHealth: A Question Answering Benchmark with Long Clinical Documents.

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

CoRR, 2024

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models.

Jean-Baptiste Excoffier, Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Keno K. Bressem, Matthieu Ortala

CoRR, 2024

Boosting Long-Tail Data Classification with Sparse Prototypical Networks.

Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno K. Bressem, Stavros Zanos, Felix Gers, Wolfgang Nejdl, Alexander Löser

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Revisiting Clinical Outcome Prediction for MIMIC-IV.

Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno K. Bressem, Wolfgang Nejdl, Alexander Löser

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.

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

Comput. Methods Programs Biomed., June, 2023

From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties.

Felix Busch, Tianyu Han, Marcus R. Makowski, Daniel Truhn, Keno K. Bressem, Lisa Adams

CoRR, 2023

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks.

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

CoRR, 2023

MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data.

Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem

CoRR, 2023

2022

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

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

CoRR, 2022

What Does DALL-E 2 Know About Radiology?

Lisa C. Adams, Felix Busch, Daniel Truhn, Marcus R. Makowski, Hugo J. W. L. Aerts, Keno K. Bressem

CoRR, 2022

Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.

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

Comput. Biol. Medicine, 2022

2021

3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware.

Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams

CoRR, 2021

Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.

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

Bioinform., 2021

2020

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs.

Keno K. Bressem, Lisa Adams, Christoph Erxleben, Bernd Hamm, Stefan Markus Niehues, Janis Lucas Vahldiek

CoRR, 2020