Department Artificial Intelligence in Biomedical Engineering

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 Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging (2023) Brock L, Ben-Atya H, Saar G, Folle L, Maier A, Freiman M, Vandoorne K Conference contribution, Abstract of a poster Compact Convolutional Transformers on Edge TPUs (2023) Sun Y, Kist A Conference contribution, Conference Contribution Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR (2023) Thornton M, Mandic D, Reichenbach T Conference contribution Remote Expert DVT Triaging of Novice-User Compression Sonography with AI-Guidance (2023) Oppenheimer J, Mandegaran R, Staabs F, Adler A, Singöhl S, Kainz B, Heinrich M, et al. Journal article