Cosmin Bercea

According to our database, Cosmin Bercea authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting.

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

CoRR, 2024

Diffusion Models with Implicit Guidance for Medical Anomaly Detection.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

CoRR, 2024

Towards Universal Unsupervised Anomaly Detection in Medical Imaging.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

CoRR, 2024

2023

Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification.

Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel

CoRR, 2023

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models.

Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel

CoRR, 2023

Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

Proceedings of the Medical Imaging with Deep Learning, 2023

Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI.

Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel

Proceedings of the Cancer Prevention Through Early Detection, 2023

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection.

Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bias in Unsupervised Anomaly Detection in Brain MRI.

Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Federated disentangled representation learning for unsupervised brain anomaly detection.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni

Nat. Mach. Intell., 2022

What do we learn? Debunking the Myth of Unsupervised Outlier Detection.

Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel

CoRR, 2022

2021

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation.

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni

CoRR, 2021

2019

SHAMANN: Shared Memory Augmented Neural Networks.

Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu

Proceedings of the Information Processing in Medical Imaging, 2019

2016

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution.

Cosmin Bercea, Andreas K. Maier, Thomas Köhler

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016