Medical Image Analysis with Normative Machine Learning

Informazioni relative al progetto

MIA-NORMAL

ID dell’accordo di sovvenzione: 101083647

DOI

10.3030/101083647

Data della firma CE 24 Aprile 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2028

Finanziato da

• European Research Council (ERC)

Costo totale

€ 1 997 841,00

Contributo UE

€ 1 997 841,00

Coordinato da

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Conference proceedings (28)

Image-Conditioned Diffusion Models for Medical Anomaly Detection

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

Robust Segmentation via Topology Violation Detection and Feature Synthesis

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

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

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

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection

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

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

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

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

Autori: Jehn, Constantin; Müller, Johanna P.; Kainz, Bernhard
Pubblicato in: 2023
Editore: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-41657-7_10

Keynote: Beyond Supervised Learning

Autori: Kainz, Bernhard
Pubblicato in: 2023
Editore: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-41657-7_1

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

Autori: Shkëmbi, Glejdis; Müller, Johanna P.; Li, Zhe; Breininger, Katharina; Schüffler, Peter; Kainz, Bernhard
Pubblicato in: 2023
Editore: Springer, Cham
DOI: 10.1007/978-3-031-44992-5_2

Data-Efficient Generation for Dataset Distillation

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

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction

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

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

Autori: Zhang, Weitong; Zang, Chengqi; Li, Liu; Cechnicka, Sarah; Ouyang, Cheng; Kainz, Bernhard
Pubblicato in: 2025
Editore: ACM
DOI: 10.48550/ARXIV.2406.13652

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation

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

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

Autori: Zhang, Weitong; Basaran, Berke; Meng, Qingjie; Baugh, Matthew; Stelter, Jonathan; Lung, Phillip; Patel, Uday; Bai, Wenjia; Karampinos, Dimitrios; Kainz, Bernhard
Pubblicato in: 2023
Editore: 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

Autori: Baugh, Matthew; Tan, Jeremy; Müller, Johanna P.; Dombrowski, Mischa; Batten, James; Kainz, Bernhard
Pubblicato in: 2023
Editore: Springer, Cham
DOI: 10.48550/ARXIV.2307.00899

Confidence-Aware and Self-supervised Image Anomaly Localisation

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

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

Autori: 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
Pubblicato in: 2025
Editore: Springer Vieweg, Wiesbaden
DOI: 10.1007/978-3-658-47422-5_40

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Autori: Ma, Qiang; Li, Liu; Robinson, Emma C.; Kainz, Bernhard; Rueckert, Daniel
Pubblicato in: 2024
Editore: Springer, Cham
DOI: 10.48550/ARXIV.2406.12650

Realistic Data Enrichment for Robust Image Segmentation in Histopathology

Autori: Cechnicka, Sarah; Ball, James; Reynaud, Hadrien; Arthurs, Callum; Roufosse, Candice; Kainz, Bernhard
Pubblicato in: 2023
Editore: Springer, Cham.
DOI: 10.48550/ARXIV.2304.09534

URCDM: Ultra-Resolution Image Synthesis in Histopathology

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

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

Autori: Müller, Johanna P.; Kainz, Bernhard
Pubblicato in: Lecture Notes in Computer Science ((LNCS,volume 15242)), 2024
Editore: Springer, Cham
DOI: 10.48550/ARXIV.2406.14038

Arc2Face: A Foundation Model for ID-Consistent Human Faces

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

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

Autori: Dombrowski, Mischa; Reynaud, Hadrien; Baugh, Matthew; Kainz, Bernhard
Pubblicato in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Editore: IEEE
DOI: 10.48550/ARXIV.2212.14306

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

Autori: Dombrowski, Mischa; Reynaud, Hadrien; Müller, Johanna P.; Baugh, Matthew; Kainz, Bernhard
Pubblicato in: 2024
Editore: PKP|PS
DOI: 10.48550/ARXIV.2303.17908

Unsupervised Similarity Learning for Image Registration with Energy-Based Models

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

Image Distillation for Safe Data Sharing in Histopathology

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

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

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

Image Generation Diversity Issues and How to Tame Them

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

Uncertainty-Aware Vision Transformers for Medical Image Analysis

Autori: Erick, Franciskus Xaverius; Rezaei, Mina; Müller, Johanna Paula; Kainz, Bernhard
Pubblicato in: 2024
Editore: Springer, Cham.
DOI: 10.1007/978-3-031-73158-7_16

Peer reviewed articles (7)

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

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

Topology Optimization in Medical Image Segmentation with Fast χ Euler Characteristic

Autori: Liu Li, Qiang Ma, Cheng Oyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
Pubblicato in: IEEE Transactions on Medical Imaging, 2025, ISSN 0278-0062
Editore: 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

Autori: 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
Pubblicato in: NEJM AI, Numero 2, 2025, ISSN 2836-9386
Editore: Massachusetts Medical Society
DOI: 10.1101/2024.05.23.24307329

Scientific Reports

Autori: Zarzor, Mohammad Saeed; Ma, Qiang; Almurey, Median; Kainz, Bernhard; Budday, Silvia
Pubblicato in: Nature Scientific Reports, Numero 26103, 2024, ISSN 2045-2322
Editore: 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

Autori: Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
Pubblicato in: Medical Image Analysis, Numero 100, 2024, ISSN 1361-8415
Editore: 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

Autori: Mohammad Saeed Zarzor, Qiang Ma, Median Almurey, Bernhard Kainz, Silvia Budday
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-024-75952-7

Medical Image Analysis

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

Book chapters (1)

Causal reasoning in medical imaging

Autori: Athanasios Vlontzos, Christine Müller, Bernhard Kainz
Pubblicato in: Trustworthy AI in Medical Imaging, 2025
Editore: Elsevier
DOI: 10.1016/B978-0-44-323761-4.00029-8