Grundlagenforschung, KI und Translationale Forschung

AI-Assisted Healthcare

We are an interdisciplinary team of radiologists, computer scientists, and researchers who work closely together to develop AI solutions with a strong focus on clinical applicability.

Our research focuses on two main areas: image-based AI algorithms and text-based AI algorithms. In the area of image-based AI, we develop deep learning models for tasks such as segmentation, detection, and classification of pathologies on various medical imaging modalities.

In the area of text-based AI, we explore the potential of large language models for question answering, information extraction, text summarization, and workflow optimization in radiology.

We are committed to open science and reproducibility. We aim to make our datasets, code, and trained models publicly available whenever possible to foster collaboration and accelerate progress in the field.

Group Leaders
Lisa C. Adams
Prof. Dr. Lisa C. Adams
E-Mail +49 89 4140-1084
Sebastian Ziegelmayer
PD Dr. med. Sebastian Ziegelmayer
E-Mail
Principal Investigator
Dr. Cosmin Bercea
Group Members

Computer scientists

  • Anirudh Balaraman, M. Sc.
  • Zeineb Ben Chaaben, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Julia Schnabel)
  • Fabian Drexel, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Daniel Rückert)
  • Hartmut Häntze, M. Sc. (PhD laufend an der Radboudumc: Prof. Dr. Bram van Ginneken)
  • Jannik Lübberstedt, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Christian Wachinger)
  • Johannes Moll, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Daniel Rückert)
  • Friedrich Puttkammer, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Christian Wachinger)
  • Frederike Stumpf, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Julia Schnabel)
  • Xiufeng Yang, M. Sc. (PhD laufend an der TUM CIT: Prof. Dr. Nassir Navab)
  • Andrei Zhukov, M. Sc.

Research associates and Physician scientists

  • Felix Dorfner
  • Dr. Marlene Fritzsche
  • Dr. Markus Graf
  • Dr. Anna Hinterberger
  • Dr. Su Hwan Kim
  • Miriam Kumpf, MD
  • Tristan Lemke, MD
  • Dr. Ina Luiken
  • Dr. Philipp Prucker
  • Dr. Lena Schmitzer
  • Era Stambollxhiu, MD
  • Lea Schumann, MD
  • Dr. Dominik Weller
  • Dr. Eva Wende

Doctoral and Bachelor students (ongoing)

  • Benjamin Berentelg
  • Melanie Eghbalian
  • Celine Dürner
  • Florian Gabriel
  • Raphael Huber
  • Finn Kosina
  • Falko Köhn
  • Simon Morin
  • Jimin Nam
  • Anna Schenck
  • Robert Staege
  • Maxima Warnick
  • Sadaf Zarrinkafsh
  • Christopher Zirn
Doctoral students (completed)
  • Dr. Behschad Bashian
  • Dr. Felix Busch
  • Dr. Leonhard Donle, M. Sc.
  • Dr. Günther Engel
  • Dr. Luise Franz
  • Dr. Gyeongphill Kang
  • Dr. Tristan Lemke
  • Dr. Jan Philipp Loyen
  • Dr. Jana Möckel, M. Sc.
  • Dr. Max Rattunde
  • Dr. Max Winter
  • Dr. Lina Xu
External Collaborators
  • Data Science and Text-based Information Systems (DATEXIS) (Berliner Hochschulte für Technik)
  • Department of Computing Science (Umeå University)
  • Department of Radiology (Charité, University Medical Center Berlin)
  • Department of Radiology (Università degli Studi di Salerno)
  • Department of Radiology (University Medical Center Aachen)
  • Department of Radiology (University Medical Center Freiburg)
  • Department of Radiology (University Medical Center Göttingen)
  • Diagnostic Image Analysis Group (Radboud Medical Center)
  • Faculty of Medicine and the Faculty of Computer Science (TUD Dresden University of Technology)
  • Harvard-MGB
  • Institute of Machine Learning in Biomedical Imaging (Helmholtz, Prof. Dr. Julia Schnabel)
  • Lab of Medical Physics and Digital Innovation (Aristotle University of Thessaloniki)
  • Lehrstuhl für Artificial Intelligence in Healthcare and Medicine (Prof. Dr. Daniel Rückert)
  • NCT-West (Prof. Dr. Keno Bressem)
Grants and Awards
  • Else Kröner Memorialstipendium 2026 (Sebastian Ziegelmayer)
  • RSNA Honored Educator Award, 2026 (Lisa Adams)
  • EU Horizon (TWIN-X Project), Funding by the European Union, 2026 (Lisa Adams)
  • Else Kröner Exzellenzstipendium 2026 (Lisa Adams)
  • RSNA Honored Educator Award, 2025 (Lisa Adams
  • Editor's Recognition Award for Radiology: Artificial Intelligence ('with special distinction'), 2025 (Lisa Adams)
  • Sachbeihilfe Deutsche Forschungsgemeinschaft 2025 (Lisa Adams)
  • Wilhelm Sander Projektförderung (Sebastian Ziegelmayer)
  • Wilhelm Sander Projektförderung (Lisa Adams)
  • Bayern Innovativ, OnkoBot, Grant, 2025 (Lisa Adams)
  • Bayern Innovativ, GO-TWIN, 2025 (Lisa Adams)
  • Editor's Recognition Award for Radiology: Artificial Intelligence ('with special distinction'), 2024 (Lisa Adams)
  • Bayern Innovativ, InteRAGt, Grant, 2024 (Lisa Adams)
  • Walter Friedrich Prize of the German Radiological Society (DRG), 2023 (Lisa Adams)
  • EU Horizon (COMFORT Project), Funding by the European Union, 2023 (Lisa Adams)
  • Wilhelm-Sander-Stiftung, Grant, 2023 (Lisa Adams)
  • German Research Foundation (DFG) Collaborative Research Center 1340, Subproject Leader for Project B01, 2022 (Lisa Adams)
  • Alavi-Mandell Award, 2021 (Lisa Adams)
  • Clinician Scientist Fellowship from the Berlin Institute of Health, 2019 (Lisa Adams)
  • Junior Clinician Scientist Fellowship from the Berlin Institute of Health, 2017 (Lisa Adams)

 

Publications (selected)

Google Scholar Profil Lisa Adams

Google Scholar Profil Cosmin Bercea

Google Scholar Profil Sebastian Ziegelmayer

  • Bercea, C.I., Wiestler, B., Rueckert, D. et al. Federated disentangled representation learning for unsupervised brain anomaly detection. Nature Machine Intelligence, DOI: 0.1038/s42256-022-00515-2
  • Han, T.*, Adams, L. C.*, Bressem, K. K., Busch, F., Nebelung, S., & Truhn, D. (2024). Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions. JAMA. DOI: 10.1001/jama.2023.27861. *Shared first authorship.
  • Ziegelmayer S, Reischl S, Havrda H, Gawlitza J, Graf M, Lenhart N, Nehls N, Lemke T, Wilhelm D, Lohöfer F, Burian E, Neumann PA, Makowski M, Braren R. Development and Validation of a Deep Learning Algorithm to Differentiate Colon Carcinoma From Acute Diverticulitis in Computed Tomography Images. JAMA Network Open. 2023, DOI: 10.1001/jamanetworkopen.2022.53370.
  • Adams, L. C., Truhn, D., Busch, F., Kader, A., Niehues, S. M., Makowski, M. R., Bressem, K. K.(2023). Leveraging GPT-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study. Radiology. DOI: 10.1148/radiol.230725.
  • Suryadevara, V.*, Hajipour, M. J.*, Adams, L. C.*, Aissaoui, N. M., Rashidi, A., Kiru, L., Theruvath, A. J., Huang, C. H., Maruyama, M., Tsubosaka, M., Lyons, J. K., Wei, E.W., Roudi, R., Goodman, S.B., Daldrup-Link, H.-E. (2023). MegaPro, a clinically translatable nanoparticle for in vivo tracking of stem cell implants in pig cartilage defects. Theranostics. DOI: 10.7150/thno.82620. *Shared first authorship.
  • Fast D*, Adams LC*, Busch F, Fallon C, Huppertz M, Siepmann R, Prucker P, Bayerl N, Truhn D, Makowski M, Löser A, Bressem KK. Autonomous medical evaluation for guideline adherence of large language models. NPJ Digit Med. 2024 Dec 12;7(1):358. doi: 10.1038/s41746-024-01356-6. *Shared first authorship.
  • Bercea, C.I., Wiestler, B., Rueckert, D. et al. Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging. Nature Communications, DOI: 10.1038/s41467-025-56321-y
  • Prucker P, Bressem KK, Peeken J, Jukic M, Marka AW, Strenzke M, Kim SH, Mertens CJ, Weller D, Lemke T, Graf MM, Ziegelmayer S, Kader A, Lammert J, Makowski MR, Busch F*, Adams LC*. A Prospective Controlled Trial of Large Language Model-based Simplification of Oncologic CT Reports for Patients with Cancer. Radiology. 2025. DOI: 10.1148/radiol.251844.
  • Häntze H, Xu L, Mertens CJ, Dorfner FJ, Donle L, Busch F, Kader A, Ziegelmayer S, Bayerl N, Navab N, Rueckert D, Schnabel J, Aerts HJWL, Truhn D, Bamberg F, Weiss J, Schlett CL, Ringhof S, Niendorf T, Pischon T, Kauczor HU, Nonnenmacher T, Kröncke T, Völzke H, Schulz-Menger J, Maier-Hein K, Hering A, Prokop M, van Ginneken B, Makowski MR, Adams LC*, Bressem KK*. Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation. Radiology Artificial Intelligence. 2025 Nov;7(6):e240777. doi: 10.1148/ryai.240777. *Shared senior authorship
  • Ziegelmayer S, Häntze H, Mertens C, Busch F, Lemke T, Graf M, Navab N, Faghihroohi S, Kather JN, Truhn D, Kröncke T, Lammert J, Kim SH, Wiestler B, Schulz-Menger J, Peters A, Völzke H, Bülow R, Niendorf T, Kauczor HU, Nonnenmacher T, Pischon T, Ringhof S, Schlett CL, Weiß J, Bamberg F, Streit U, Hadamitzky M, Makowski MR, Adams L*, Bressem K*. Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort. Radiology. 2026 May;319(2):e251347. doi: 10.1148/radiol.251347. *Shared senior authorship.