Department Artificial Intelligence in Biomedical Engineering (AIBE)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

Image-conditioned latent rectified flow models for 3D medical anomaly localisation (2026) Baugh M, Müller J, Cechnicka S, Gu Baugh K, Bonnici J, Myles J, Kainz B Journal article Self-adaptive forward-forward network for anomaly detection and medical image analysis (2026) Müller J, Baugh M, Kainz B Journal article Predicting Numeric Hemoglobin A1c for Individualized Type 2 Diabetes Care Using Machine Learning: A MIMIC-IV Study (2026) Habibpour M, Tanzanakis A, Salin E, Eskofier B Conference contribution Zwischen Schmerz und Stress: Ein integriertes Paradigma zur Untersuchung von Stress, Bewegungsmustern und Fear Avoidance unter simulierten Rückenschmerzen (2026) Heuler A, Oeler C, Richer R, Rohleder N, Barke A, Weise C Conference contribution, Abstract of lecture Multimodal Assessment of Pain-Related Behavioral and Biopsychological Changes in the Context of Back Pain Induction (2026) Heuler A, Oeler C, Richer R, Rohleder N, Barke A, Weise C Conference contribution, Abstract of a poster A Deep Nonlinear Subspace Modeling and Reconstruction for Diffusion-Weighted Imaging Using Denoising Auto-Encoder (2026) Glaser J, Tan Z, Hofmann A, Laun FB, Knoll F Journal article LUMOS: Self-supervised Pretraining for Multimodal Task Load Estimation in Adaptive Instructional Systems (2026) Oppelt MP, Lang-Richter NR, Eskofier B Conference contribution MEASURING AND ALIGNING ABSTRACTION IN VISION-LANGUAGE MODELS WITH MEDICAL TAXONOMIES (2026) Schaper B, Di Folco M, Kainz B, Schnabel JA, Bercea CI Conference contribution Characterization of Foundation Models for Longitudinal Similarity Measurement in Medical Video Data (2026) Neubig L, Larsen D, Ikuma T, Kunduk M, Kist A Conference contribution Quantifying Anatomical Bias in Coronary Segmentation: Why Your Model Prefers the LCA More Than the RCA (2026) Baumgart S, Deubner N, Kist A Conference contribution