Medical Image Analysis with Normative Machine Learning

Información del proyecto

MIA-NORMAL

Identificador del acuerdo de subvención: 101083647

DOI

10.3030/101083647

Fecha de la firma de la CE 24 Abril 2023

Fecha de inicio 1 Septiembre 2023

Fecha de finalización 31 Agosto 2028

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 1 997 841,00

Aportación de la UE

€ 1 997 841,00

Coordinado por

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (28)

Image-Conditioned Diffusion Models for Medical Anomaly Detection

Autores: Baugh, Matthew; Reynaud, Hadrien; Marimont, Sergio Naval; Cechnicka, Sarah; Müller, Johanna P.; Tarroni, Giacomo; Kainz, Bernhard
Publicado en: 2024
Editor: Springer, Cham
DOI: 10.1007/978-3-031-73158-7_11

Robust Segmentation via Topology Violation Detection and Feature Synthesis

Autores: Li, Liu; Ma, Qiang; Ouyang, Cheng; Li, Zeju; Meng, Qingjie; Zhang, Weitong; Qiao, Mengyun; Kyriakopoulou, Vanessa; Hajnal, Joseph V.; Rueckert, Daniel; Kainz, Bernhard
Publicado en: 2023
Editor: Springer, Cham.
DOI: 10.1007/978-3-031-43901-8_7

EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing

Autores: Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas Day, Alberto Gomez, Paul Leeson, Bernhard Kainz
Publicado en: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Editor: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2406.00808

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection

Autores: Marimont, Sergio Naval; Baugh, Matthew; Siomos, Vasilis; Tzelepis, Christos; Kainz, Bernhard; Tarroni, Giacomo
Publicado en: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
Editor: IEEE
DOI: 10.48550/ARXIV.2311.15453

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Autores: Reynaud, Hadrien; Qiao, Mengyun; Dombrowski, Mischa; Day, Thomas; Razavi, Reza; Gomez, Alberto; Leeson, Paul; Kainz, Bernhard
Publicado en: Lecture Notes in Computer Science ((LNCS,volume 14229)), 2023
Editor: Spinger, Cham.
DOI: 10.48550/ARXIV.2303.12644

Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging

Autores: Jehn, Constantin; Müller, Johanna P.; Kainz, Bernhard
Publicado en: 2023
Editor: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-41657-7_10

Keynote: Beyond Supervised Learning

Autores: Kainz, Bernhard
Publicado en: 2023
Editor: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-41657-7_1

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

Autores: Shkëmbi, Glejdis; Müller, Johanna P.; Li, Zhe; Breininger, Katharina; Schüffler, Peter; Kainz, Bernhard
Publicado en: 2023
Editor: Springer, Cham
DOI: 10.1007/978-3-031-44992-5_2

Data-Efficient Generation for Dataset Distillation

Autores: Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
Publicado en: Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025
Editor: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2409.03929

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

Autores: Ma, Qiang; Li, Liu; Kyriakopoulou, Vanessa; Hajnal, Joseph V.; Robinson, Emma C.; Kainz, Bernhard; Rueckert, Daniel
Publicado en: Lecture Notes in Computer Science ((LNCS,volume 14223)), 2023
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2307.11870

Stability and generalizability in sde diffusion models with measure-preserving dynamics

Autores: Zhang, Weitong; Zang, Chengqi; Li, Liu; Cechnicka, Sarah; Ouyang, Cheng; Kainz, Bernhard
Publicado en: 2025
Editor: ACM
DOI: 10.48550/ARXIV.2406.13652

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation

Autores: Öttl, Mathias; Wilm, Frauke; Steenpass, Jana; Qiu, Jingna; Rübner, Matthias; Hartmann, Arndt; Beckmann, Matthias; Fasching, Peter; Maier, Andreas; Erber, Ramona; Kainz, Bernhard; Breininger, Katharina
Publicado en: 2024
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2403.14429

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI

Autores: Zhang, Weitong; Basaran, Berke; Meng, Qingjie; Baugh, Matthew; Stelter, Jonathan; Lung, Phillip; Patel, Uday; Bai, Wenjia; Karampinos, Dimitrios; Kainz, Bernhard
Publicado en: 2023
Editor: Springer, Cham.
DOI: 10.1007/978-3-031-43999-5_12

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks

Autores: Baugh, Matthew; Tan, Jeremy; Müller, Johanna P.; Dombrowski, Mischa; Batten, James; Kainz, Bernhard
Publicado en: 2023
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2307.00899

Confidence-Aware and Self-supervised Image Anomaly Localisation

Autores: Johanna P. Müller; Matthew Baugh; Jeremy Tan; Mischa Dombrowski; Bernhard Kainz
Publicado en: Lecture Notes in Computer Science ISBN: 9783031443350, 2023
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2303.13227

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion

Autores: Fischer, Lisa K.; Müller, Johanna P.; Schröder, Christian; Hanser, Anja; Cuomo, Michela; Day, Thomas; Ouyang, Cheng; Dewald, Oliver; Rompel, Oliver; Dittrich, Sven; Küstner, Thomas; Kainz, Bernhard
Publicado en: 2025
Editor: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-47422-5_40

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Autores: Ma, Qiang; Li, Liu; Robinson, Emma C.; Kainz, Bernhard; Rueckert, Daniel
Publicado en: 2024
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2406.12650

Realistic Data Enrichment for Robust Image Segmentation in Histopathology

Autores: Cechnicka, Sarah; Ball, James; Reynaud, Hadrien; Arthurs, Callum; Roufosse, Candice; Kainz, Bernhard
Publicado en: 2023
Editor: Springer, Cham.
DOI: 10.48550/ARXIV.2304.09534

URCDM: Ultra-Resolution Image Synthesis in Histopathology

Autores: Cechnicka, Sarah; Ball, James; Baugh, Matthew; Reynaud, Hadrien; Simmonds, Naomi; Smith, Andrew P. T.; Horsfield, Catherine; Roufosse, Candice; Kainz, Bernhard
Publicado en: 2024
Editor: Springer, Cham.
DOI: 10.48550/ARXIV.2407.13277

Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks

Autores: Müller, Johanna P.; Kainz, Bernhard
Publicado en: Lecture Notes in Computer Science ((LNCS,volume 15242)), 2024
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2406.14038

Arc2Face: A Foundation Model for ID-Consistent Human Faces

Autores: Papantoniou, Foivos Paraperas; Lattas, Alexandros; Moschoglou, Stylianos; Deng, Jiankang; Kainz, Bernhard; Zafeiriou, Stefanos
Publicado en: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXVII, 2024
Editor: Springer Cham.
DOI: 10.48550/ARXIV.2403.11641

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models

Autores: Dombrowski, Mischa; Reynaud, Hadrien; Baugh, Matthew; Kainz, Bernhard
Publicado en: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Editor: IEEE
DOI: 10.48550/ARXIV.2212.14306

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability

Autores: Dombrowski, Mischa; Reynaud, Hadrien; Müller, Johanna P.; Baugh, Matthew; Kainz, Bernhard
Publicado en: 2024
Editor: PKP|PS
DOI: 10.48550/ARXIV.2303.17908

Unsupervised Similarity Learning for Image Registration with Energy-Based Models

Autores: Grzech, Daniel; Folgoc, Loïc Le; Azampour, Mohammad Farid; Vlontzos, Athanasios; Glocker, Ben; Navab, Nassir; Schnabel, Julia; Kainz, Bernhard
Publicado en: 2024
Editor: Springer, Cham
DOI: 10.1007/978-3-031-73480-9_18

Image Distillation for Safe Data Sharing in Histopathology

Autores: Li, Zhe; Kainz, Bernhard
Publicado en: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, ISBN 978-3-031-72116-8
Editor: Springer, Cham
DOI: 10.48550/ARXIV.2406.13536

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Autores: Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
Publicado en: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024
Editor: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2407.06635

Image Generation Diversity Issues and How to Tame Them

Autores: Dombrowski, Mischa; Zhang, Weitong; Cechnicka, Sarah; Reynaud, Hadrien; Kainz, Bernhard
Publicado en: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editor: IEEE
DOI: 10.48550/ARXIV.2411.16171

Uncertainty-Aware Vision Transformers for Medical Image Analysis

Autores: Erick, Franciskus Xaverius; Rezaei, Mina; Müller, Johanna Paula; Kainz, Bernhard
Publicado en: 2024
Editor: Springer, Cham.
DOI: 10.1007/978-3-031-73158-7_16

Peer reviewed articles (7)

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases

Autores: Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
Publicado en: IEEE Transactions on Medical Imaging, 2025, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.48550/ARXIV.2403.16776

Topology Optimization in Medical Image Segmentation with Fast χ Euler Characteristic

Autores: Liu Li, Qiang Ma, Cheng Oyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
Publicado en: IEEE Transactions on Medical Imaging, 2025, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.48550/ARXIV.2507.23763

AI to Assist in the Fetal Anomaly Ultrasound Scan: A Randomized Controlled Trial

Autores: Thomas G. Day, Jacqueline Matthew, Samuel F. Budd, Alfonso Farruggia, Lorenzo Venturini, Robert Wright, Babak Jamshidi, Meekai To, Huazen Ling, Jonathon Lai, Min Yi Tan, Matthew Brown, Gavin Guy, Davide Casagrandi, Anastasija Arechvo, Argyro Syngelaki, David Lloyd, Vita Zidere, Trisha Vigneswaran, Owen Miller, Ranjit Akolekar, Surabhi Nanda, Kypros Nicolaides, Bernhard Kainz, John M. Simpson, Jo V. Hajnal, Reza Razavi
Publicado en: NEJM AI, Edición 2, 2025, ISSN 2836-9386
Editor: Massachusetts Medical Society
DOI: 10.1101/2024.05.23.24307329

Scientific Reports

Autores: Zarzor, Mohammad Saeed; Ma, Qiang; Almurey, Median; Kainz, Bernhard; Budday, Silvia
Publicado en: Nature Scientific Reports, Edición 26103, 2024, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/S41598-024-75952-7

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction

Autores: Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
Publicado en: Medical Image Analysis, Edición 100, 2024, ISSN 1361-8415
Editor: Elsevier BV
DOI: 10.48550/ARXIV.2405.08783

Exploring the role of different cell types on cortical folding in the developing human brain through computational modeling

Autores: Mohammad Saeed Zarzor, Qiang Ma, Median Almurey, Bernhard Kainz, Silvia Budday
Publicado en: Scientific Reports, Edición 14, 2024, ISSN 2045-2322
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41598-024-75952-7

Medical Image Analysis

Autores: Ma, Qiang; Liang, Kaili; Li, Liu; Masui, Saga; Guo, Yourong; Nosarti, Chiara; Robinson, Emma C.; Kainz, Bernhard; Rueckert, Daniel
Publicado en: Medical Image Analysis, 2025, ISSN 1361-8415
Editor: Elsevier
DOI: 10.48550/ARXIV.2405.08783

Book chapters (1)

Causal reasoning in medical imaging

Autores: Athanasios Vlontzos, Christine Müller, Bernhard Kainz
Publicado en: Trustworthy AI in Medical Imaging, 2025
Editor: Elsevier
DOI: 10.1016/B978-0-44-323761-4.00029-8