Reliable Detection of Atrial Fibrillation with a Medical Wearable during Inpatient Conditions. - Malte Jacobsen; Till Anselm Dembek; Athanasios-Panagiotis Ziakos; Rahil Gholamipoor; Guido Kobbe; Markus Kollmann; Christopher Blum; Dirk Müller-Wieland; Andreas Napp; Lutz Heinemann; Nikolas Deubner; Nikolaus Marx; et al. (Sensors, 2020)

Self-supervised Anomaly Detection by Self-distillation and Negative Sampling. - Nima Rafiee; Rahil Gholamipoor; Nikolas Adaloglou; Simon Jaxy; Julius Ramakers; Markus Kollmann (ICANN (4), 2022)

Pneumonia Detection With Semantic Similarity Scores. - Rahil Gholamipoor; Nima Rafiee; Markus Kollmann (ISBI, 2022)

Representation Learning for Anomaly Detection. - Rahil Gholamipoorfard (2022)

Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples. - Nima Rafiee; Rahil Gholamipoorfard; Markus Kollmann (ICBRA, 2023)

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies. - Malte Jacobsen; Rahil Gholamipoor; Till Anselm Dembek; Pauline Rottmann; Marlo Verket; Julia Brandts; Paul Jäger 003; Ben-Niklas Baermann; Mustafa Kondakci; Lutz Heinemann; Anna L. Gerke; Nikolaus Marx; et al. (npj Digit. Medicine, 2023)