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Bernhard Kainz
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- affiliation: Imperial College London, UK
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2020 – today
- 2025
- [j43]Qiang Ma
, Kaili Liang, Liu Li
, Saga Masui
, Yourong Guo
, Chiara Nosarti
, Emma C. Robinson
, Bernhard Kainz
, Daniel Rueckert
:
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. Medical Image Anal. 100: 103394 (2025) - [j42]Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. npj Digit. Medicine 8(1) (2025) - 2024
- [j41]Mohammad Farid Azampour
, Kristina Mach
, Emad Fatemizadeh
, Beatrice Demiray
, Kay Westenfelder, Katja Steiger, Matthias Eiber, Thomas Wendler
, Bernhard Kainz
, Nassir Navab
:
Multitask Weakly Supervised Generative Network for MR-US Registration. IEEE Trans. Medical Imaging 43(11): 3780-3793 (2024) - [c99]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI 2024: 21037-21045 - [c98]Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz
:
Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. Bildverarbeitung für die Medizin 2024: 255-260 - [c97]Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger:
Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. ECCV (75) 2024: 236-252 - [c96]Foivos Paraperas Papantoniou
, Alexandros Lattas
, Stylianos Moschoglou
, Jiankang Deng
, Bernhard Kainz
, Stefanos Zafeiriou
:
Arc2Face: A Foundation Model for ID-Consistent Human Faces. ECCV (37) 2024: 241-261 - [c95]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz
, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI 2024: 1-5 - [c94]Matthew Baugh
, Hadrien Reynaud
, Sergio Naval Marimont
, Sarah Cechnicka, Johanna P. Müller
, Giacomo Tarroni
, Bernhard Kainz
:
Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI 2024: 117-127 - [c93]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Uncertainty-Aware Vision Transformers for Medical Image Analysis. UNSURE@MICCAI 2024: 171-180 - [c92]Sergio Naval Marimont
, Vasilis Siomos, Matthew Baugh
, Christos Tzelepis
, Bernhard Kainz
, Giacomo Tarroni
:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) 2024: 243-253 - [c91]Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing. MICCAI (7) 2024: 285-295 - [c90]Zhe Li
, Bernhard Kainz
:
Image Distillation for Safe Data Sharing in Histopathology. MICCAI (10) 2024: 459-469 - [c89]Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz:
URCDM: Ultra-Resolution Image Synthesis in Histopathology. MICCAI (4) 2024: 535-545 - [c88]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) 2024: 670-680 - [c87]Qiang Ma
, Liu Li
, Emma C. Robinson
, Bernhard Kainz
, Daniel Rueckert
:
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. MICCAI (11) 2024: 766-777 - [c86]Johanna P. Müller
, Bernhard Kainz
:
Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. MLMI@MICCAI (2) 2024: 180-190 - [c85]Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz:
Unsupervised Similarity Learning for Image Registration with Energy-Based Models. WBIR 2024: 229-240 - [i106]Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans. CoRR abs/2401.01201 (2024) - [i105]Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou:
Arc2Face: A Foundation Model of Human Faces. CoRR abs/2403.11641 (2024) - [i104]Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger:
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation. CoRR abs/2403.14429 (2024) - [i103]Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert:
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. CoRR abs/2403.16776 (2024) - [i102]Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. CoRR abs/2406.00808 (2024) - [i101]Zhe Li, Bernhard Kainz:
Image Distillation for Safe Data Sharing in Histopathology. CoRR abs/2406.13536 (2024) - [i100]Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz:
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR abs/2406.13652 (2024) - [i99]Johanna P. Müller, Bernhard Kainz:
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR abs/2406.14038 (2024) - [i98]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR abs/2407.06635 (2024) - [i97]Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz:
URCDM: Ultra-Resolution Image Synthesis in Histopathology. CoRR abs/2407.13277 (2024) - [i96]Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz:
Data-Efficient Generation for Dataset Distillation. CoRR abs/2409.03929 (2024) - [i95]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR abs/2409.09796 (2024) - [i94]Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz:
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. CoRR abs/2409.14149 (2024) - [i93]Andrea Prenner, Bernhard Kainz:
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey. CoRR abs/2409.17800 (2024) - [i92]Weitong Zhang, Chengqi Zang, Bernhard Kainz:
Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. CoRR abs/2410.01064 (2024) - [i91]Muhammad Haaris Khan, Hadrien Reynaud, Bernhard Kainz:
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models. CoRR abs/2410.05322 (2024) - [i90]Mischa Dombrowski, Hadrien Reynaud, Bernhard Kainz:
Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification. CoRR abs/2411.04956 (2024) - [i89]Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz:
Image Generation Diversity Issues and How to Tame Them. CoRR abs/2411.16171 (2024) - 2023
- [j40]Andreas P. Hinterreiter
, Christina Humer
, Bernhard Kainz
, Marc Streit
:
ParaDime: A Framework for Parametric Dimensionality Reduction. Comput. Graph. Forum 42(3): 337-348 (2023) - [j39]Veronika A. Zimmer
, Alberto Gómez
, Emily Skelton
, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew
, Bernhard Kainz
, Daniel Rueckert, Joseph V. Hajnal
, Julia A. Schnabel
:
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Anal. 83: 102639 (2023) - [j38]Robert Wright
, Alberto Gómez
, Veronika A. Zimmer
, Nicolas Toussaint, Bishesh Khanal
, Jacqueline Matthew
, Emily Skelton
, Bernhard Kainz
, Daniel Rueckert
, Joseph V. Hajnal
, Julia A. Schnabel
:
Fast fetal head compounding from multi-view 3D ultrasound. Medical Image Anal. 89: 102793 (2023) - [j37]Athanasios Vlontzos
, Bernhard Kainz
, Ciarán M. Gilligan-Lee
:
Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. 5(2): 159-168 (2023) - [j36]Thomas G. Day
, John M. Simpson, Reza Razavi
, Bernhard Kainz
:
Improving image labelling quality. Nat. Mac. Intell. 5(4): 335-336 (2023) - [j35]Grzegorz Sarapata
, Yuriy Dushin
, Gareth Morinan
, Joshua Ong
, Sanjay Budhdeo
, Bernhard Kainz
, Jonathan O'Keeffe
:
Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease. IEEE J. Biomed. Health Informatics 27(10): 5032-5041 (2023) - [j34]Qiang Ma
, Liu Li, Emma C. Robinson
, Bernhard Kainz
, Daniel Rueckert
, Amir Alansary
:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. IEEE Trans. Medical Imaging 42(2): 430-443 (2023) - [c84]Bernhard Kainz
:
Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis. Bildverarbeitung für die Medizin 2023: 1 - [c83]Constantin Jehn, Johanna P. Müller, Bernhard Kainz
:
Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. Bildverarbeitung für die Medizin 2023: 25-31 - [c82]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c81]Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
:
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. ICCV 2023: 988-998 - [c80]Glejdis Shkëmbi, Johanna P. Müller
, Zhe Li
, Katharina Breininger
, Peter J. Schüffler
, Bernhard Kainz
:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI 2023: 11-20 - [c79]Sarah Cechnicka
, James Ball, Hadrien Reynaud, Callum Arthurs, Candice Roufosse, Bernhard Kainz
:
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. DART@MICCAI 2023: 63-72 - [c78]Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - [c77]Berke Doga Basaran
, Weitong Zhang, Mengyun Qiao, Bernhard Kainz
, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. DALI@MICCAI 2023: 73-83 - [c76]Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
:
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) 2023: 121-131 - [c75]Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi
, Alberto Gómez, Paul Leeson, Bernhard Kainz
:
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. MICCAI (10) 2023: 142-152 - [c74]Matthew Baugh
, Jeremy Tan
, Johanna P. Müller
, Mischa Dombrowski
, James Batten
, Bernhard Kainz
:
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) 2023: 162-172 - [c73]Johanna P. Müller
, Matthew Baugh
, Jeremy Tan
, Mischa Dombrowski
, Bernhard Kainz
:
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI 2023: 177-187 - [c72]Qiang Ma, Liu Li, Vanessa Kyriakopoulou
, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz
, Daniel Rueckert:
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. MICCAI (4) 2023: 312-322 - [e4]Bernhard Kainz
, J. Alison Noble
, Julia A. Schnabel
, Bishesh Khanal
, Johanna P. Müller
, Thomas G. Day
:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0 [contents] - [i88]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis
, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini
, Gary S. Collins
, Keyvan Farahani, Luciana Ferrer, Adrian Galdran
, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman
, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz
, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller
, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i87]Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz:
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. CoRR abs/2303.12644 (2023) - [i86]Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR abs/2303.13227 (2023) - [i85]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR abs/2303.17908 (2023) - [i84]Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz:
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. CoRR abs/2304.09534 (2023) - [i83]Mischa Dombrowski, Bernhard Kainz:
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. CoRR abs/2306.01363 (2023) - [i82]Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz:
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR abs/2306.09269 (2023) - [i81]Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz:
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR abs/2307.00899 (2023) - [i80]Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. CoRR abs/2308.09026 (2023) - [i79]Sudarshan Sreeram
, Bernhard Kainz:
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference. CoRR abs/2309.05090 (2023) - [i78]Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR abs/2310.04187 (2023) - [i77]Hadrien Reynaud, Bernhard Kainz:
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation. CoRR abs/2311.01567 (2023) - [i76]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - [i75]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR abs/2311.18645 (2023) - [i74]Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew P. T. Smith, Candice Roufosse, Bernhard Kainz:
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology. CoRR abs/2312.01152 (2023) - 2022
- [j33]Qi Dou
, Tiffany Y. So
, Meirui Jiang
, Quande Liu, Varut Vardhanabhuti
, Georgios Kaissis
, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz
, Daniel Rueckert
, Ben Glocker
, Simon C. H. Yu
, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j32]Alberto Gómez
, Veronika A. Zimmer
, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton
, Jackie Matthews, Bernhard Kainz
, Joseph V. Hajnal
, Julia A. Schnabel
:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX 17: 100959 (2022) - [j31]Tian-Rui Liu
, Qingjie Meng
, Junjie Huang
, Athanasios Vlontzos, Daniel Rueckert
, Bernhard Kainz
:
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31: 1573-1586 (2022) - [j30]David Zimmerer
, Peter M. Full, Fabian Isensee
, Paul Jäger, Tim Adler
, Jens Petersen, Gregor Köhler
, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan
, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c71]Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz
, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - [c70]Hannah M. Schlüter
, Jeremy Tan
, Benjamin Hou
, Bernhard Kainz
:
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) 2022: 474-489 - [c69]Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
:
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) 2022: 704-713 - [c68]Cheng Ouyang
, Shuo Wang
, Chen Chen
, Zeju Li
, Wenjia Bai
, Bernhard Kainz
, Daniel Rueckert
:
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI 2022: 59-69 - [c67]Matthew Baugh
, Jeremy Tan
, Athanasios Vlontzos
, Johanna P. Müller
, Bernhard Kainz
:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI 2022: 103-112 - [c66]Clara Lebbos, Jen Barcroft, Jeremy Tan
, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos
, Srdjan Saso, Bernhard Kainz
:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI 2022: 106-116 - [c65]Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou
, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal
, Daniel Rueckert, Bernhard Kainz
, Amir Alansary:
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - [c64]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
:
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) 2022: 599-609 - [i73]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR abs/2202.08329 (2022) - [i72]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - [i71]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. CoRR abs/2206.01651 (2022) - [i70]Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz:
Is More Data All You Need? A Causal Exploration. CoRR abs/2206.02409 (2022) - [i69]Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR abs/2206.05498 (2022) - [i68]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew
, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal
, Julia A. Schnabel
:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022) - [i67]Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR abs/2208.02870 (2022) - [i66]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR abs/2209.01124 (2022) - [i65]Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR abs/2209.12305 (2022) - [i64]Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz:
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR abs/2210.04514 (2022) - [i63]Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit:
ParaDime: A Framework for Parametric Dimensionality Reduction. CoRR abs/2210.04582 (2022) - [i62]Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz:
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. CoRR abs/2212.14306 (2022) - 2021
- [j29]Giulio Jiang, Bernhard Kainz
:
Deep radiance caching: Convolutional autoencoders deeper in ray tracing®. Comput. Graph. 94: 22-31 (2021) - [j28]Samuel Budd, Emma C. Robinson
, Bernhard Kainz
:
A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Anal. 71: 102062 (2021) - [j27]Qi Dou
, Tiffany Y. So
, Meirui Jiang
, Quande Liu, Varut Vardhanabhuti
, Georgios Kaissis
, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann
, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz
, Daniel Rueckert
, Ben Glocker
, Simon C. H. Yu
, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [j26]Bernhard Kainz
, Mattias P. Heinrich
, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane
, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Andreas Ruttloff, Matthew D. Stevenson, Peter Klein-Weigel, Nicola S. Curry:
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. npj Digit. Medicine 4 (2021) - [j25]Qingjie Meng
, Jacqueline Matthew
, Veronika A. Zimmer
, Alberto Gómez
, David F. A. Lloyd
, Daniel Rueckert
, Bernhard Kainz
:
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 40(2): 722-734 (2021) - [c63]Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw
, Anna Lukens, Tomoki Arichi, Bernhard Kainz
:
Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR 2021: 2484-2494 - [c62]