Cosmin I. Bercea
Cosmin I. Bercea
Technical University of Munich
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Cited by
Cited by
Feddis: Disentangled federated learning for unsupervised brain pathology segmentation
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
arXiv preprint arXiv:2103.03705, 2021
Federated disentangled representation learning for unsupervised brain anomaly detection
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
Nature Machine Intelligence 4 (8), 685-695, 2022
Confidence-aware levenberg-marquardt optimization for joint motion estimation and super-resolution
C Bercea, A Maier, T Köhler
2016 IEEE International Conference on Image Processing (ICIP), 1136-1140, 2016
SHAMANN: Shared memory augmented neural networks
CI Bercea, O Pauly, A Maier, FC Ghesu
Information Processing in Medical Imaging: 26th International Conference …, 2019
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
CI Bercea, D Rueckert, JA Schnabel
arXiv preprint arXiv:2206.03698, 2022
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
arXiv preprint arXiv:2303.08452, 2023
3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI
DM Lang, E Schwartz, CI Bercea, R Giryes, JA Schnabel
arXiv preprint arXiv:2303.05861, 2023
SPA: Shape-Prior Variational Autoencoders for Unsupervised Brain Pathology Segmentation
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
Method for setting a viewing direction in a representation of a virtual environment
C Mutschler, T Feigl, C Daxer, O Stephan, B Cosmin-Ionut
US Patent 10,885,663, 2021
Method for operating a vehicle control system
L Philip, L Alexander, RD Lucas, B Cosmin Ionut
DE Patent DE102019215625A1, 2021
Medical image segmentation
O Pauly, F Ghesu, CI Bercea
US Patent 10,825,172, 2020
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