Bernhard Kainz

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 193

Top Venues

CoRR

IEEE Trans. Medical Imaging

MICCAI (1)

Medical Image Anal.

Universität Graz (PHD)

Education History

Universität Graz

PHD

Publications

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 (2024)
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou
Arc2Face: A Foundation Model of Human Faces. CoRR (2024)
Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR (2024)
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 (2024)
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)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI (2024)
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 (2024)
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 (2024)
Johanna P. Müller, Bernhard Kainz
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR (2024)
Zhe Li, Bernhard Kainz
Image Distillation for Safe Data Sharing in Histopathology. CoRR (2024)
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 (2024)
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR (2024)
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)
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)
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)
Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit
ParaDime: A Framework for Parametric Dimensionality Reduction. Comput. Graph. Forum 42 (3) (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR (2023)
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) (2023)
Thomas G. Day, John M. Simpson, Reza Razavi, Bernhard Kainz
Improving image labelling quality. Nat. Mac. Intell. 5 (4) (2023)
Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew Smith, Candice Roufosse, Bernhard Kainz
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology. CoRR (2023)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. 5 (2) (2023)
Sudarshan Sreeram, Bernhard Kainz
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference. CoRR (2023)
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 (2023)
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. CoRR (2023)
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)
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 (2023)
Sarah Cechnicka, James Ball, Hadrien Reynaud, Callum Arthurs, Candice Roufosse, Bernhard Kainz
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. DART@MICCAI (2023)
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)
Bernhard Kainz
Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis. Bildverarbeitung für die Medizin (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR (2023)
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. ICCV (2023)
Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. CoRR (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI (2023)
Hadrien Reynaud, Bernhard Kainz
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation. CoRR (2023)
Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR (2023)
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 (2023)
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)
Mischa Dombrowski, Bernhard Kainz
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. CoRR (2023)
Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR (2023)
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR (2023)
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)
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR (2022)
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)
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)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) (2022)
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)
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 (2022)
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 (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI (2022)
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 (2022)
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 (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) (2022)
Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit
ParaDime: A Framework for Parametric Dimensionality Reduction. CoRR (2022)
Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz
Is More Data All You Need? A Causal Exploration. CoRR (2022)
Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR (2022)
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 (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR (2022)
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. CoRR (2022)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR (2022)
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) (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. CoRR (2022)
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)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) (2022)
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 (2022)
Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. CoRR (2021)
Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI (2021)
Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
Detecting Outliers with Poisson Image Interpolation. CoRR (2021)
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
Unsupervised Human Pose Estimation through Transforming Shape Templates. CoRR (2021)
Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer. CoRR (2021)
Giulio Jiang, Bernhard Kainz
Deep radiance caching: Convolutional autoencoders deeper in ray tracing®. Comput. Graph. 94 (2021)
Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
Detecting Outliers with Poisson Image Interpolation. MICCAI (5) (2021)
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) (2021)
Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod
Topological Data Analysis of Database Representations for Information Retrieval. CoRR (2021)
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR (2021)
Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR (2021)
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. CoRR (2021)
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) (2021)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating the probabilities of causation via deep monotonic twin networks. CoRR (2021)
Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? DART/FAIR@MICCAI (2021)
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 (2021)
Liu Li, 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. UNSURE/PIPPI@MICCAI (2021)
Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz
Can non-specialists provide high quality gold standard labels in challenging modalities? CoRR (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR (2021)
Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
Contrastive Learning for View Classification of Echocardiograms. CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) (2021)
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)
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)
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR (2021)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) (2021)
Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. MLCN@MICCAI (2021)

Bernhard Kainz.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Bernhard Kainz