Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. - Debayan Bhattacharya; Benjamin Tobias Becker; Finn Behrendt; Marcel Bengs; Dirk Beyersdorff; Dennis Eggert; Elina Petersen; Florian Jansen; Marvin Petersen; Bastian Cheng; Christian Betz; Alexander Schlaefer; et al. (MICCAI (3), 2022)

Brain network architecture constrains age-related cortical thinning. - Marvin Petersen; Felix L. Nägele; Carola Mayer; Maximilian Schell; D. Leander Rimmele; Elina Petersen; Simone Kühn; Jürgen Gallinat; Uta Hanning; Jens Fiehler; Raphael Twerenbold; Christian Gerloff; et al. (NeuroImage, 2022)

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Computer-Aided Diagnosis, 2023)

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. - Debayan Bhattacharya; Finn Behrendt; Benjamin Tobias Becker; Lennart Maack; Dirk Beyersdorff; Elina Petersen; Marvin Petersen; Bastian Cheng; Dennis Eggert; Christian Betz; Anna Sophie Hoffmann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2024)