Cosmin I. Bercea

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Diffusion Models

Question Answering

Top Venues

Publications

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Diffusion Models with Implicit Guidance for Medical Anomaly Detection. CoRR (2024)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Towards Universal Unsupervised Anomaly Detection in Medical Imaging. CoRR (2024)
Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. CoRR (2024)
Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. CoRR (2024)
Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-García, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. CoRR (2024)
Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Suhwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR (2024)
Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI. CoRR (2024)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. MICCAI (5) (2023)
Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI (2023)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. MIDL (2023)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. CoRR (2023)
Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. CoRR (2023)
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI (2023)
Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models. CoRR (2023)
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Bias in Unsupervised Anomaly Detection in Brain MRI. CoRR (2023)
Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. MICCAI (5) (2023)
Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
What do we learn? Debunking the Myth of Unsupervised Outlier Detection. CoRR (2022)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
Federated disentangled representation learning for unsupervised brain anomaly detection. Nat. Mach. Intell. 4 (8) (2022)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. CoRR (2021)
Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu
SHAMANN: Shared Memory Augmented Neural Networks. IPMI (2019)