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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
582022
Feddis: Disentangled federated learning for unsupervised brain pathology segmentation
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
arXiv preprint arXiv:2103.03705, 2021
452021
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
292023
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
222023
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
Medical Imaging with Deep Learning, 2023
202023
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
18*2023
Denoising diffusion models for 3d healthy brain tissue inpainting
A Durrer, J Wolleb, F Bieder, P Friedrich, L Melie-Garcia, ...
MICCAI Workshop on Deep Generative Models, 87-97, 2024
82024
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
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
4*2023
SHAMANN: Shared memory augmented neural networks
CI Bercea, O Pauly, A Maier, FC Ghesu
Information Processing in Medical Imaging: 26th International Conference …, 2019
42019
Diffusion models with implicit guidance for medical anomaly detection
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2024
32024
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
32023
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
12024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
CI Bercea, B Wiestler, D Rueckert, JA Schnabel
arXiv preprint arXiv:2401.10637, 2024
12024
Tracking of multiple objects in cooperation with multiple neural networks
CI Bercea
US Patent App. 17/696,024, 2022
12022
SPA: Shape-Prior Variational Autoencoders for Unsupervised Brain Pathology Segmentation
CI Bercea, B Wiestler, D Rueckert, S Albarqouni
12022
Denoising Diffusion Models for Anomaly Localization in Medical Images
CI Bercea, PC Cattin, JA Schnabel, J Wolleb
arXiv preprint arXiv:2410.23834, 2024
2024
MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI
MB Alaya, DM Lang, B Wiestler, JA Schnabel, CI Bercea
International Workshop on Simulation and Synthesis in Medical Imaging, 167-176, 2024
2024
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
H Mykula, L Gasser, S Lobmaier, JA Schnabel, V Zimmer, CI Bercea
International Workshop on Advances in Simplifying Medical Ultrasound, 220-230, 2024
2024
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
S Ambekar, JA Schnabel, CI Bercea
arXiv preprint arXiv:2410.03306, 2024
2024
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