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)

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)

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)

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 001; Keno K. Bressem (Comput. Biol. Medicine, 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)

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)

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)

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 002; Daniel Truhn; Gustav Müller-Franzes; Maurice M. Heimer; Stefan Markus Niehues; Marcus R. Makowski; Markus Hinsche; Janis Lucas Vahldiek; Hugo J. W. L. Aerts; et al. (Comput. Methods Programs Biomed., 2023)

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 002; Albert E. Kim; Jameson Merkow; et al. (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)

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)

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; et al. (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)

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)

Autonomous medical evaluation for guideline adherence of large language models. - Dennis Fast; Lisa C. Adams; Felix Busch; Conor Fallon; Marc Huppertz; Robert Siepmann; Philipp Prucker; Nadine Bayerl; Daniel Truhn; Marcus R. Makowski; Alexander Löser; Keno K. Bressem (npj Digit. Medicine, 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; et al. (Expert Syst. Appl., 2024)

Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care. - Antonios Billis; Alessa Hering; Lili Jiang; Cora Meyer; Lisa Adams; Renato Cuocolo; Alexander Löser; Jawed Nawabi; Keno K. Bressem (CBMS, 2025)

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks. - Felix J. Dorfner; Amin Dada; Felix Busch; Marcus R. Makowski; Tianyu Han; Daniel Truhn; Jens Kleesiek; Madhumita Sushil; Lisa C. Adams; Keno K. Bressem (J. Am. Medical Informatics Assoc., 2025)

Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports. - Su Hwan Kim 007; Severin Schramm; Lisa C. Adams; Rickmer Braren; Keno K. Bressem; Matthias Keicher; Paul-Sören Platzek; Karolin J. Paprottka; Claus Zimmer; Dennis M. Hedderich; Benedikt Wiestler (npj Digit. Medicine, 2025)

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; et al. (npj Digit. Medicine, 2025)

Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework. - Sarah de Boer; Hartmut Häntze; Kiran Vaidhya Venkadesh; Myrthe A. D. Buser; Gabriel Efrain Humpire Mamani; Lina Xu; Lisa C. Adams; Jawed Nawabi; Keno K. Bressem; Bram van Ginneken; Mathias Prokop; Alessa Hering (CoRR, 2025)

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs. - Juraj Vladika; Annika Domres; Mai Nguyen; Rebecca Moser; Jana Nano; Felix Busch; Lisa C. Adams; Keno K. Bressem; Denise Bernhardt; Stephanie E. Combs; Kai J. Borm; Florian Matthes; et al. (CoRR, 2025)

PARROT: An Open Multilingual Radiology Reports Dataset. - Bastien Le Guellec; Kokou Adambounou; Lisa C. Adams; Thibault Agripnidis; Sungsoo Ahn; Radhia Ait Chalal; Tugba Akinci D. Antonoli; Philippe Amouyel; Henrik Andersson; Raphael Bentegeac; Claudio Benzoni; Antonino Andrea Blandino; et al. (CoRR, 2025)

Agentic large language models improve retrieval-based radiology question answering. - Sebastian Wind; Jeta Sopa; Daniel Truhn; Mahshad Lotfinia; Tri-Thien Nguyen; Keno K. Bressem; Lisa Adams; Mirabela Rusu; Harald Köstler; Gerhard Wellein; Andreas K. Maier; Soroosh Tayebi Arasteh (CoRR, 2025)

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 (J. Heal. Informatics Res., 2025)