Department Artificial Intelligence in Biomedical Engineering (AIBE)

Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression (2023) Rupp L, Capito K, Gmelch LM, Böhme S, Richer R, Sadeghi M, Rahimi F, et al. Conference contribution, Abstract of lecture Stroop, Stress, and VR: Developing the Virtual Reality Stroop Room (2023) Ringgold V, Mehringer W, Eskofier B, Rohleder N Conference contribution, Conference Contribution WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography (2023) Nissen M, Flaucher M, Jäger K, Hübner H, Danzberger N, Titzmann A, Pontones C, et al. Conference contribution Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution Demographic confounders distort inference of gene regulatory and gene co-expression networks in cancer (2023) Ketteler A, Blumenthal DB Journal article, Original article Overview of Magnetic Resonance Imaging Reconstruction Methods Using Various Constraints to Solve the Ill-posed Problems (2023) Kim J, Nickel MD, Knoll F Conference contribution, Conference Contribution Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging (2023) Jehn C, Müller J, Kainz B Conference contribution Keynote: Beyond Supervised Learning Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis (2023) Kainz B Conference contribution The modified Polsby–Popper score, a novel quantitative histomorphological biomarker and its potential to predict lymph node positivity and cancer-specific survival in oral tongue squamous cell carcinoma (2023) Csűry TD, Csűry AZ, Balk M, Kist A, Rupp R, Müller SK, Sievert M, et al. Journal article Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images (2023) Ganz J, Lipnik K, Ammeling J, Richter B, Puget C, Parlak E, Diehl L, et al. Conference contribution