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Cosmin I. Bercea
Cosmin I. Bercea
Technical University of Munich
Verified email at helmholtz-muenchen.de - Homepage
Title
Cited by
Cited by
Year
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
422022
Feddis: Disentangled federated learning for unsupervised brain pathology segmentation
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
arXiv preprint arXiv:2103.03705, 2021
412021
Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models
CI Bercea, M Neumayr, D Rueckert, JA Schnabel
arXiv preprint arXiv:2305.19643, 2023
162023
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
Medical Imaging with Deep Learning, 2023
132023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2023
122023
What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection
CI Bercea, D Rueckert, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2023
6*2023
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
62016
SHAMANN: Shared memory augmented neural networks
CI Bercea, O Pauly, A Maier, FC Ghesu
Information Processing in Medical Imaging: 26th International Conference …, 2019
42019
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI
DM Lang, E Schwartz, CI Bercea, R Giryes, JA Schnabel
MICCAI Workshop on Cancer Prevention through Early Detection, 55-67, 2023
2*2023
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection
J Li, CI Bercea, P Müller, L Felsner, S Kim, D Rueckert, B Wiestler, ...
arXiv preprint arXiv:2404.07622, 2024
2024
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
A Durrer, J Wolleb, F Bieder, P Friedrich, L Melie-Garcia, ...
arXiv preprint arXiv:2403.14499, 2024
2024
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
arXiv preprint arXiv:2403.08464, 2024
2024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
arXiv preprint arXiv:2401.10637, 2024
2024
Evaluating Normative Learning in Generative AI for Robust Medical Anomaly Detection
C Bercea, B Wiestler, D Rueckert, J Schnabel
2023
Bias in Unsupervised Anomaly Detection in Brain MRI
CI Bercea, E Puyol-Antón, B Wiestler, D Rueckert, JA Schnabel, AP King
Workshop on Clinical Image-Based Procedures, 122-131, 2023
2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
M Di Folco, C Bercea, JA Schnabel
arXiv preprint arXiv:2307.12618, 2023
2023
Method and device for monitoring the state of an occupant in a motor vehicle
A Lengsfeld, L Rego Drumond, CI Bercea
DE Patent DE102021202790A1, 2022
2022
Tracking of multiple objects in cooperation with multiple neural networks
CI Bercea
US Patent 17/696,024, 2022
2022
Tracking of multiple objects using neural networks, local memories, and a shared memory
CI Bercea
US Patent 17/696,050, 2022
2022
Detection device for recognizing an object and/or a person, method, computer program and storage medium
CI Bercea, T Kapelner
US Patent 17/698,511, 2022
2022
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