Horst K. Hahn

University of Bremen — Germany

Computer Science · Physical Sciences

38h-index4.5kcitations287works2.52yr avg
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Research Topics

Medical Image Segmentation Techniques(66), Radiomics and Machine Learning in Medical Imaging(59), AI in cancer detection(47), Advanced Neuroimaging Techniques and Applications(44), Advanced MRI Techniques and Applications(36)

Publications287 total

Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study
The Lancet Oncology·2025· 3 cited
Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines
JMIR Medical Informatics·2025· 3 citedOpen Access
On the Encapsulation of Medical Imaging AI Algorithms
arXiv (Cornell University)·2025Open Access
Deep-learning-based outcome prediction from endoscopic videos for robot-assisted radical prostatectomy
2025
Requirements for Quality Assurance of AI Models for Early Detection of Lung Cancer
arXiv (Cornell University)·2025Open Access
Pitfalls with anomaly detection for breast cancer risk prediction
2025
Breast cancer risk prediction using background parenchymal enhancement, radiomics, and symmetry features on MRI
2025
AI Meets Digital Public Health
Springer series on epidemiology and public health·2025Open Access
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics
Insights into Imaging·2024· 9 citedOpen Access
Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19
Datenbank-Spektrum·2024· 7 citedOpen Access
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
International Journal of Computer Assisted Radiology and Surgery·2024· 8 citedOpen Access
Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approach
European Journal of Radiology·2024· 2 citedOpen Access
Deformable current-prior registration of DCE breast MR images on multi-site data
2024· 1 cited
A machine learning method for the identification and characterization of novel COVID-19 drug targets
Scientific Reports·2023· 4 citedOpen Access
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context
Lecture notes in computer science·2023· 1 cited
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study
Informatik aktuell·2023
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment
Frontiers in Neuroimaging·2022· 2 citedOpen Access
Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation
Cancers·2022· 22 citedOpen Access
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow
IEEE Access·2022· 12 citedOpen Access
Das Modell der Datentreuhand in der medizinischen Forschung
Datenschutz und Datensicherheit - DuD·2021· 3 citedOpen Access
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Frequent Co-authors

Heinz‐Otto Peitgen(12), Carsten Lukas(8), Barbara Bellenberg(7), Frederik Barkhof(7), Hugo Vrenken(6), Andrea Schenk(5), Hans Meine(5), Helmut Hildebrandt(5), Christian Hansen(5), Jeroen J.G. Geurts(4), Florian Weiler(4), Jan Rexilius(4), Jan Klein(4), Grzegorz Chlebus(3), Jan Hendrik Moltz(3), Bram van Ginneken(3), Madeleine H Sombekke(3), Veronica Popescu(3), Ernst W. Radue(3), Achim Gass(3)