Cosmin I. Bercea

39 papers Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies. CoRR Ben Schaper, Maxime Di Folco, Bernhard Kainz, Julia A. Schnabel, Cosmin I. Bercea
2025	J	`jnl`	Does DINOv3 Set a New Medical Vision Standard? CoRR 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
2025	J	`jnl`	Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions. CoRR Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	—	`conf`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. MICCAI (7) Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. CoRR Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. CoRR Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
2025	J	`jnl`	Learning to reason about rare diseases through retrieval-augmented agents. CoRR Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M. Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2025	J	`jnl`	NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI. CoRR Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria O. Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler
2025	J	`jnl`	Semantic Alignment of Unimodal Medical Text and Vision Representations. CoRR Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea, Julia A. Schnabel
2025	J	`jnl`	TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks. CoRR Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Cosmin I. Bercea, Matthew Nyflot, Lina Felsner, Julia A. Schnabel, Jan C. Peeken
2024	—	`conf`	Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. DGM4MICCAI@MICCAI 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
2024	J	`jnl`	Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. CoRR 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
2024	J	`jnl`	Denoising Diffusion Models for Anomaly Localization in Medical Images. CoRR Cosmin I. Bercea, Philippe C. Cattin, Julia A. Schnabel, Julia Wolleb
2024	—	`conf`	Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound. ASMUS@MICCAI Hanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika A. M. Zimmer, Cosmin I. Bercea
2024	—	`conf`	Diffusion Models with Implicit Guidance for Medical Anomaly Detection. MICCAI (11) Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024	J	`jnl`	Diffusion Models with Implicit Guidance for Medical Anomaly Detection. CoRR Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024	J	`jnl`	FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. CoRR Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci
2024	—	`conf`	Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. MICCAI (10) Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel
2024	J	`jnl`	Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. CoRR Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
2024	—	`conf`	Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	—	`conf`	MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. SASHIMI@MICCAI Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI. CoRR Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
2024	J	`jnl`	Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations. CoRR Sameer Ambekar, Julia A. Schnabel, Cosmin I. Bercea
2024	J	`jnl`	Towards Universal Unsupervised Anomaly Detection in Medical Imaging. CoRR Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2024	J	`jnl`	Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. CoRR Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2023	J	`jnl`	Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. CoRR Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
2023	—	`conf`	Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023	J	`jnl`	Bias in Unsupervised Anomaly Detection in Brain MRI. CoRR Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023	—	`conf`	Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. MIDL Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023	J	`jnl`	Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models. CoRR Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel
2023	—	`conf`	Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
2023	—	`conf`	Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. MICCAI (5) Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023	J	`jnl`	Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. CoRR Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
2023	—	`conf`	What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. MICCAI (5) Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
2022	J	`jnl`	Federated disentangled representation learning for unsupervised brain anomaly detection. Nat. Mach. Intell. Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2022	J	`jnl`	What do we learn? Debunking the Myth of Unsupervised Outlier Detection. CoRR Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel
2021	J	`jnl`	FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. CoRR Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2019	—	`conf`	SHAMANN: Shared Memory Augmented Neural Networks. IPMI Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu