Publications
SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation
Authors: Aswathi Varma, Jonas Weidner, Laurin Lux, Cosmin Bercea, Mark Mühlau, Jan Kirschke, Benedikt Wiestler, Daniel Rueckert
Preprint [Under Review] • 2026
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
Authors: Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
WACV • 2026
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
Authors: Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria Olga Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L Beyrle, others
NeurIPS Datasets and Benchmarks Track • 2025
Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rückert, Julia A. Schnabel
Nature Communications • 2025
Denoising diffusion models for anomaly localization in medical images
Authors: Cosmin I. Bercea, Philippe C. Cattin, Julia A. Schnabel, Julia Wolleb
MELBA • 2025
Does DINOv3 set a new medical vision standard?
Authors: Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
arXiv preprint • 2025
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions
Authors: Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
arXiv preprint • 2025
Semantic Alignment of Unimodal Medical Text and Vision Representations
Authors: Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea, Julia A. Schnabel
arXiv preprint • 2025
Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
Authors: Chun Kit Wong, Anders N Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin G Tolsgaard, Aasa Feragen
MICCAI • 2025
Learning to reason about rare diseases through retrieval-augmented agents
Authors: Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
arXiv preprint • 2025
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks
Authors: Johannes Kiechle, Stefan M Fischer, Daniel M Lang, Cosmin I. Bercea, Matthew J Nyflot, Lina Felsner, Julia A. Schnabel, Jan C Peeken
arXiv preprint • 2025
GroundingDINO for Open-Set Lesion Detection in Medical Imaging
Authors: Samuel James Roughley, Johanna Paula Müller, Shangqi Gao, Zeyu Gao, Marta Ligero, Rudolfs Blums, Mireia Crispin-Ortuzar, Julia A. Schnabel, Bernhard Kainz, Cosmin I. Bercea, Ines Machado
MICCAI EMERGE Workshop • 2025
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Authors: Sameer Ambekar, Julia A. Schnabel, Cosmin I. Bercea
MICCAI ADSMI Workshop • 2024
Fmbench: Benchmarking fairness in multimodal large language models on medical tasks
Authors: Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci
arXiv preprint • 2024
Towards universal unsupervised anomaly detection in medical imaging
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
arXiv preprint • 2024
Diffusion models with implicit guidance for medical anomaly detection
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
MICCAI • 2024
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Authors: Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel
MICCAI • 2024
Language models meet anomaly detection for better interpretability and generalizability
Authors: Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
MICCAI MMMI Workshop • 2024
Multi-image visual question answering for unsupervised anomaly detection
Authors: Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
arXiv preprint • 2024
Unsupervised Analysis of Alzheimer’s Disease Signatures using 3D Deformable Autoencoders
Authors: Mehmet Yigit Avci, Emily Chan, Veronika Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
MICCAI EMERGE Workshop • 2024
Mededit: Counterfactual diffusion-based image editing on brain mri
Authors: Malek Ben Alaya, Daniel M Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
MICCAI Sashimi Workshop • 2024
Diffusion models for unsupervised anomaly detection in fetal brain ultrasound
Authors: Hanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika Zimmer, Cosmin I. Bercea
MICCAI ASMUS Workshop • 2024
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Authors: Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-Garcia, Mario Alberto Ocampo Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, Oezguer Yaldizli, Cristina Granziera, Bjoern Menze, Philippe C Cattin, others
MICCAI DGM4 Workshop • 2024
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
Authors: Maxime Di Folco, Cosmin Bercea, Julia A. Schnabel
arXiv preprint • 2023
Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models
Authors: Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel
ICML IMLH Workshop • 2023
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Medical Imaging with Deep Learning • 2023
What do AEs learn? Challenging common assumptions in unsupervised anomaly detection
Authors: Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
MICCAI • 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
MICCAI • 2023
Bias in unsupervised anomaly detection in brain MRI
Authors: Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P King
MICCAI FAIMI Workshop • 2023
Multispectral 3D masked autoencoders for anomaly detection in non-contrast enhanced breast MRI
Authors: Daniel M Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
MICCAI Workshop on Cancer Prevention through Early Detection • 2023
Federated disentangled representation learning for unsupervised brain anomaly detection
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
Nature Machine Intelligence • 2022
SPA: Shape-Prior Variational Autoencoders for Unsupervised Brain Pathology Segmentation
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
Preprint • 2022
Feddis: Disentangled federated learning for unsupervised brain pathology segmentation
Authors: Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
arXiv preprint • 2021
SHAMANN: Shared memory augmented neural networks
Authors: Cosmin I. Bercea, Olivier Pauly, Andreas Maier, Florin C Ghesu
IPMI • 2019
Confidence-aware levenberg-marquardt optimization for joint motion estimation and super-resolution
Authors: Cosmin Bercea, Andreas Maier, Thomas Köhler
IEEE ICIP • 2016