| 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 | 42 | 2022 |
| Feddis: Disentangled federated learning for unsupervised brain pathology segmentation CI Bercea, B Wiestler, D Rueckert, S Albarqouni arXiv preprint arXiv:2103.03705, 2021 | 41 | 2021 |
| 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 | 17 | 2023 |
| Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening CI Bercea, B Wiestler, D Rueckert, JA Schnabel Medical Imaging with Deep Learning, 2023 | 13 | 2023 |
| 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 | 12 | 2023 |
| 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 | 6 | 2016 |
| SHAMANN: Shared memory augmented neural networks CI Bercea, O Pauly, A Maier, FC Ghesu Information Processing in Medical Imaging: 26th International Conference …, 2019 | 4 | 2019 |
| 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 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
