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ORCIDRahil Gholamipoor
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Books and Theses
- 2022
[b1]Rahil Gholamipoorfard:
Representation Learning for Anomaly Detection. University of Düsseldorf, Germany, 2022
Journal Articles
- 2023
- [j2]Malte Jacobsen
, Rahil Gholamipoor, Till Anselm Dembek, Pauline Rottmann, Marlo Verket, Julia Brandts, Paul Jäger, Ben-Niklas Baermann, Mustafa Kondakci, Lutz Heinemann, Anna L. Gerke, Nikolaus Marx, Dirk Müller-Wieland, Kathrin Möllenhoff, Melchior Seyfarth, Markus Kollmann, Guido Kobbe:
Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies. npj Digit. Medicine 6 (2023) - 2020
- [j1]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, Stefan Isenmann, Melchior Seyfarth:
Reliable Detection of Atrial Fibrillation with a Medical Wearable during Inpatient Conditions. Sensors 20(19): 5517 (2020)
Conference and Workshop Papers
- 2023
- [c3]Nima Rafiee, Rahil Gholamipoorfard, Markus Kollmann:
Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples. ICBRA 2023: 195-200 - 2022
- [c2]Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling. ICANN (4) 2022: 459-470 - [c1]Rahil Gholamipoor, Nima Rafiee, Markus Kollmann:
Pneumonia Detection With Semantic Similarity Scores. ISBI 2022: 1-5
Informal and Other Publications
- 2022
- [i1]Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling. CoRR abs/2201.06378 (2022)
Coauthor Index
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