Fast Marker Based C-Arm Pose Estimation. - Bernhard Kainz; Markus Grabner; Matthias Rüther (MICCAI (2), 2008)

Ray casting of multiple volumetric datasets with polyhedral boundaries on manycore GPUs. - Bernhard Kainz; Markus Grabner; Alexander Bornik; Stefan Hauswiesner; Judith Muehl; Dieter Schmalstieg (ACM Trans. Graph., 2009)

In vivo interactive visualization of four-dimensional blood flow patterns. - Bernhard Kainz; Ursula Reiter; Gert Reiter; Dieter Schmalstieg (Vis. Comput., 2009)

Vessel Segmentation for Ablation Treatment Planning and Simulation. - Tuomas Alhonnoro; Mika Pollari; Mikko Lilja; Ronan Flanagan; Bernhard Kainz; Judith Muehl; Ursula Mayrhauser; Horst R. Portugaller; Philipp Stiegler; Karlheinz Tscheliessnigg (MICCAI (1), 2010)

Ray-based Image Generation for Advanced Medical Applications. - Bernhard Kainz (2011)

GPU Based On-the-fly Light Emission-absorption Approximation for Direct Multi-volume Rendering. - Rostislav Khlebnikov; Bernhard Kainz; Bernhard Roth; Judith Muehl; Dieter Schmalstieg (Eurographics (Posters), 2011)

Strahlenbasierte Algorithmen für die medizinische Visualisierung vielfacher volumetrischer Datensätze. - Bernhard Kainz (Ausgezeichnete Informatikdissertationen, 2011)

Volume Visualization in the Clinical Practice. - Bernhard Kainz; Rupert H. Portugaller; Daniel Seider; Michael Moche; Philipp Stiegler; Dieter Schmalstieg (AE-CAI, 2011)

Stylization-based ray prioritization for guaranteed frame rates. - Bernhard Kainz; Markus Steinberger; Stefan Hauswiesner; Rostislav Khlebnikov; Dieter Schmalstieg (NPAR, 2011)

Using perceptual features to prioritize ray-based image generation. - Bernhard Kainz; Markus Steinberger; Stefan Hauswiesner; Rostislav Khlebnikov; Denis Kalkofen; Dieter Schmalstieg (SI3D, 2011)

Crepuscular Rays for Tumor Accessibility Planning. - Rostislav Khlebnikov; Bernhard Kainz; Judith Muehl; Dieter Schmalstieg (IEEE Trans. Vis. Comput. Graph., 2011)

Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations. - Bernhard Kerbl; Philip Voglreiter; Rostislav Khlebnikov; Dieter Schmalstieg; Daniel Seider; Michael Moche; Philipp Stiegler; Rupert H. Portugaller; Bernhard Kainz (CLIP, 2012)

Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes. - Philip Voglreiter; Markus Steinberger; Dieter Schmalstieg; Bernhard Kainz (MeshMed, 2012)

OmniKinect: real-time dense volumetric data acquisition and applications. - Bernhard Kainz; Stefan Hauswiesner; Gerhard Reitmayr; Markus Steinberger; Raphaël Grasset; Lukas Gruber; Eduardo E. Veas; Denis Kalkofen; Hartmut Seichter; Dieter Schmalstieg (VRST, 2012)

Ray prioritization using stylization and visual saliency. - Markus Steinberger; Bernhard Kainz; Stefan Hauswiesner; Rostislav Khlebnikov; Denis Kalkofen; Dieter Schmalstieg (Comput. Graph., 2012)

Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data. - Rostislav Khlebnikov; Bernhard Kainz; Markus Steinberger; Marc Streit; Dieter Schmalstieg (Comput. Graph. Forum, 2012)

Softshell: dynamic scheduling on GPUs. - Markus Steinberger; Bernhard Kainz; Bernhard Kerbl; Stefan Hauswiesner; Michael Kenzel; Dieter Schmalstieg (ACM Trans. Graph., 2012)

Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data. - Rostislav Khlebnikov; Bernhard Kainz; Markus Steinberger; Dieter Schmalstieg (IEEE Trans. Vis. Comput. Graph., 2013)

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors. - Bernhard Kainz; Kevin Keraudren; Vanessa Kyriakopoulou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2014)

High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. - Bernhard Kainz; Philip Voglreiter; Michael Sereinigg; Iris Wiederstein-Grasser; Ursula Mayrhauser; Sonja Kostenbauer; Mika Pollari; Rostislav Khlebnikov; Matthias Seise; Tuomas Alhonnoro; Yrjö Häme; Daniel Seider; et al. (ISBI, 2014)

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. - Bernhard Kainz; Christina Malamateniou; Maria Murgasova; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2014)

Parallel Irradiance Caching for Interactive Monte-Carlo Direct Volume Rendering. - Rostislav Khlebnikov; Philip Voglreiter; Markus Steinberger; Bernhard Kainz; Dieter Schmalstieg (Comput. Graph. Forum, 2014)

Parallel generation of architecture on the GPU. - Markus Steinberger; Michael Kenzel; Bernhard Kainz; Joerg H. Mueller; Peter Wonka; Dieter Schmalstieg (Comput. Graph. Forum, 2014)

On-the-fly generation and rendering of infinite cities on the GPU. - Markus Steinberger; Michael Kenzel; Bernhard Kainz; Peter Wonka; Dieter Schmalstieg (Comput. Graph. Forum, 2014)

Automated fetal brain segmentation from 2D MRI slices for motion correction. - Kevin Keraudren; Maria Kuklisova-Murgasova; Vanessa Kyriakopoulou; Christina Malamateniou; Mary A. Rutherford; Bernhard Kainz; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2014)

RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. - Jan Egger; Harald Busse; Philipp Brandmaier; Daniel Seider; Matthias Gawlitza; Steffen Strocka; Philip Voglreiter; Mark Dokter; Michael Hofmann 003; Bernhard Kainz; Xiaojun Chen 003; Alexander Hann; et al. (EMBC, 2015)

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. - Amir Alansary; Matthew C. H. Lee; Kevin Keraudren; Bernhard Kainz; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert (MLMMI@ICML, 2015)

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. - Bernhard Kainz; Christina Malamateniou; Giulio Ferrazzi; Maria Murgasova; Jan Egger; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2015)

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. - Bernhard Kainz; Amir Alansary; Christina Malamateniou; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2015)

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. - Kevin Keraudren; Bernhard Kainz; Ozan Oktay; Vanessa Kyriakopoulou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (3), 2015)

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. - Christopher Bowles; Niamh C. Nowlan; Tayyib T. A. Hayat; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (Image Processing, 2015)

Interactive Volumetry Of Liver Ablation Zones. - Jan Egger; Harald Busse; Philipp Brandmaier; Daniel Seider; Matthias Gawlitza; Steffen Strocka; Philip Voglreiter; Mark Dokter; Michael Hofmann 003; Bernhard Kainz; Alexander Hann; Xiaojun Chen 003; et al. (CoRR, 2015)

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. - Bernhard Kainz; Markus Steinberger; Wolfgang Wein; Maria Kuklisova-Murgasova; Christina Malamateniou; Kevin Keraudren; Thomas Torsney-Weir; Mary A. Rutherford; Paul Aljabar; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2015)

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. - Amir Alansary; Konstantinos Kamnitsas; Alice Davidson; Rostislav Khlebnikov; Martin Rajchl; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert; Bernhard Kainz (MICCAI (2), 2016)

Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Sandra Smith; Bernhard Kainz; Daniel Rueckert (MICCAI (2), 2016)

High-Performance Motion Correction of Fetal MRI. - Bernhard Kainz; David F. A. Lloyd; Amir Alansary; Maria Kuklisova-Murgasova; Rostislav Khlebnikov; Daniel Rueckert; Mary A. Rutherford; Reza Razavi; Joseph V. Hajnal (EuroRV³@EuroVis, 2016)

Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Learning under Distributed Weak Supervision. - Martin Rajchl; Matthew C. H. Lee; Franklin Schrans; Alice Davidson; Jonathan Passerat-Palmbach; Giacomo Tarroni; Amir Alansary; Ozan Oktay; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Learning clinically useful information from images: Past, present and future. - Daniel Rueckert; Ben Glocker; Bernhard Kainz (Medical Image Anal., 2016)

Accessible GLSL Shader Programming. - Antoine Toisoul; Daniel Rueckert; Bernhard Kainz (Eurographics (Education Papers), 2017)

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest. - Juan J. Cerrolaza; Ozan Oktay; Alberto Gómez 002; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (FIFI/OMIA@MICCAI, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (2), 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 2017)

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. - Steven McDonagh 001; Benjamin Hou; Amir Alansary; Ozan Oktay; Konstantinos Kamnitsas; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven G. McDonagh 001; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Ricardo Guerrero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; et al. (CoRR, 2017)

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Human-level CMR image analysis with deep fully convolutional networks. - Wenjia Bai; Matthew Sinclair; Giacomo Tarroni; Ozan Oktay; Martin Rajchl; Ghislain Vaillant; Aaron M. Lee; Nay Aung; Elena Lukaschuk; Mihir M. Sanghvi; Filip Zemrak; Kenneth Fung; et al. (CoRR, 2017)

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. - Nick Pawlowski; Sofia Ira Ktena; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker; Martin Rajchl (CoRR, 2017)

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. - Amir Alansary; Martin Rajchl; Steven G. McDonagh 001; Maria Murgasova; Mellisa Damodaram; David F. A. Lloyd; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2017)

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Mellisa Damodaram; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. - Haichao Miao; Gabriel Mistelbauer; Alexey Karimov; Amir Alansary; Alice Davidson; David F. A. Lloyd; Mellisa Damodaram; Lisa Story; Jana Hutter; Joseph V. Hajnal; Mary A. Rutherford; Bernhard Preim; et al. (IEEE Trans. Vis. Comput. Graph., 2017)

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. - Matthew Sinclair; Christian F. Baumgartner; Jacqueline Matthew; Wenjia Bai; Juan Cerrolaza Martinez; Yuanwei Li; Sandra Smith; Caroline L. Knight; Bernhard Kainz; Joseph V. Hajnal; Andrew P. King; Daniel Rueckert (EMBC, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Matthew Sinclair; Jacqueline Matthew; Caronline Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. - Bishesh Khanal; Alberto Gómez 002; Nicolas Toussaint; Steven McDonagh 001; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. - Yuanwei Li; Amir Alansary; Juan J. Cerrolaza; Bishesh Khanal; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. - Yuanwei Li; Bishesh Khanal; Benjamin Hou; Amir Alansary; Juan J. Cerrolaza; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Real-Time Prediction of Segmentation Quality. - Robert Robinson; Ozan Oktay; Wenjia Bai; Vanya V. Valindria; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; et al. (MICCAI (4), 2018)

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. - Ryutaro Tanno; Antonios Makropoulos; Salim Arslan; Ozan Oktay; Sven Mischkewitz; Fouad Al-Noor; Jonas Oppenheimer; Ramin Mandegaran; Bernhard Kainz; Mattias P. Heinrich (MICCAI (2), 2018)

Efficient Image Evidence Analysis of CNN Classification Results. - Keyang Zhou; Bernhard Kainz (CoRR, 2018)

Attention U-Net: Learning Where to Look for the Pancreas. - Ozan Oktay; Jo Schlemper; Loïc Le Folgoc; Matthew C. H. Lee; Mattias P. Heinrich; Kazunari Misawa; Kensaku Mori; Steven G. McDonagh 001; Nils Y. Hammerla; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. - Jo Schlemper; Ozan Oktay; Liang Chen 018; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. - Qingjie Meng; Matthew Sinclair; Veronika A. M. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Alberto Gómez 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; Ben Glocker; et al. (IEEE Trans. Medical Imaging, 2018)

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. - Samuel Budd; Matthew Sinclair; Bishesh Khanal; Jacqueline Matthew; David Lloyd 003; Alberto Gómez 002; Nicolas Toussaint; Emma C. Robinson; Bernhard Kainz (MICCAI (4), 2019)

Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks. - Elisa Chotzoglou; Bernhard Kainz (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Automatic Detection of Bowel Disease with Residual Networks. - Robert Holland; Uday Patel; Phillip Lung; Elisa Chotzoglou; Bernhard Kainz (PRIME@MICCAI, 2019)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (MLMIR@MICCAI, 2019)

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. - Qingjie Meng; Nick Pawlowski; Daniel Rueckert; Bernhard Kainz (SUSI/PIPPI@MICCAI, 2019)

Semi-supervised Learning of Fetal Anatomy from Ultrasound. - Jeremy Tan; Anselm Au; Qingjie Meng; Bernhard Kainz (DART/MIL3ID@MICCAI, 2019)

Multiple Landmark Detection Using Multi-agent Reinforcement Learning. - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2019)

Complete Fetal Head Compounding from Multi-view 3D Ultrasound. - Robert Wright; Nicolas Toussaint; Alberto Gómez 002; Veronika A. M. Zimmer; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (MICCAI (3), 2019)

Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. - Thomas Schultz 001; Anna Puig; Bernhard Kainz (Comput. Graph., 2019)

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. - Robert Robinson; Vanya V. Valindria; Wenjia Bai; Ozan Oktay; Bernhard Kainz; Hideaki Suzuki; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; et al. (CoRR, 2019)

One Shot Radiance: Global Illumination Using Convolutional Autoencoders. - Giulio Jiang; Bernhard Kainz (CoRR, 2019)

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. - Daniel Coelho de Castro; Jeremy Tan; Bernhard Kainz; Ender Konukoglu; Ben Glocker (J. Mach. Learn. Res., 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Attention gated networks: Learning to leverage salient regions in medical images. - Jo Schlemper; Ozan Oktay; Michiel Schaap; Mattias P. Heinrich; Bernhard Kainz; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. - Qingjie Meng; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz; Matthew Sinclair; Veronika A. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Ozan Oktay; et al. (IEEE Trans. Medical Imaging, 2019)

Divergent search for image classification behaviors. - Jeremy Tan; Bernhard Kainz (GECCO Companion, 2020)

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. - Samuel Budd; Prachi A. Patkee; Ana Baburamani; Mary A. Rutherford; Emma C. Robinson; Bernhard Kainz (MLCN/RNO-AI@MICCAI, 2020)

Image Registration via Stochastic Gradient Markov Chain Monte Carlo. - Daniel Grzech; Bernhard Kainz; Ben Glocker; Loïc Le Folgoc (UNSURE/GRAIL@MICCAI, 2020)

Projective Latent Interventions for Understanding and Fine-Tuning Classifiers. - Andreas P. Hinterreiter; Marc Streit; Bernhard Kainz (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Ultrasound Video Summarization Using Deep Reinforcement Learning. - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (MICCAI (3), 2020)

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. - Jeremy Tan; Anselm Au; Qingjie Meng; Sandy FinesilverSmith; John M. Simpson; Daniel Rueckert; Reza Razavi; Thomas G. Day; David Lloyd 003; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

3D Probabilistic Segmentation and Volumetry from 2D Projection Images. - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (TIA@MICCAI, 2020)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Learning Cross-domain Generalizable Features by Representation Disentanglement. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)

Divergent Search for Few-Shot Image Classification. - Jeremy Tan; Bernhard Kainz (CoRR, 2020)

Projective Latent Space Decluttering. - Andreas P. Hinterreiter; Marc Streit; Bernhard Kainz (CoRR, 2020)

Causal Future Prediction in a Minkowski Space-Time. - Athanasios Vlontzos; Henrique Bergallo Rocha; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Detecting Outliers with Foreign Patch Interpolation. - Jeremy Tan; Benjamin Hou; James Batten; Huaqi Qiu; Bernhard Kainz (CoRR, 2020)

Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. - Elisa Chotzoglou; Thomas G. Day; Jeremy Tan; Jacqueline Matthew; David Lloyd 003; Reza Razavi; John M. Simpson; Bernhard Kainz (CoRR, 2020)

Unsupervised Human Pose Estimation Through Transforming Shape Templates. - Luca Schmidtke; Athanasios Vlontzos; Simon Ellershaw; Anna Lukens; Tomoki Arichi; Bernhard Kainz (CVPR, 2021)

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? - Samuel Budd; Thomas G. Day; John M. Simpson; Karen Lloyd; Jacqueline Matthew; Emily Skelton; Reza Razavi; Bernhard Kainz (DART/FAIR@MICCAI, 2021)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu 001; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (MICCAI (7), 2021)

Contrastive Learning for View Classification of Echocardiograms. - Agisilaos Chartsias; Shan Gao; Angela Mumith; Jorge Oliveira; Kanwal K. Bhatia; Bernhard Kainz; Arian Beqiri (ASMUS@MICCAI, 2021)

RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. - Benjamin Hou; Georgios Kaissis; Ronald M. Summers; Bernhard Kainz (MICCAI (7), 2021)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (UNSURE/PIPPI@MICCAI, 2021)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. - Qiang Ma 004; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (MLCN@MICCAI, 2021)

Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. - Hadrien Reynaud; Athanasios Vlontzos; Benjamin Hou; Arian Beqiri; Paul Leeson; Bernhard Kainz (MICCAI (6), 2021)

Detecting Outliers with Poisson Image Interpolation. - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (MICCAI (5), 2021)

MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. - Jeremy Tan; Turkay Kart; Benjamin Hou; James Batten; Bernhard Kainz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Deep radiance caching: Convolutional autoencoders deeper in ray tracing®. - Giulio Jiang; Bernhard Kainz (Comput. Graph., 2021)

Topological Data Analysis of Database Representations for Information Retrieval. - Athanasios Vlontzos; Yueqi Cao; Luca Schmidtke; Bernhard Kainz; Anthea Monod (CoRR, 2021)

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. - Tianrui Liu; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2021)

Estimating the probabilities of causation via deep monotonic twin networks. - Athanasios Vlontzos; Bernhard Kainz; Ciarán M. Gilligan-Lee (CoRR, 2021)

Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (CoRR, 2021)

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. - Daniel Grzech; Mohammad Farid Azampour; Huaqi Qiu; Ben Glocker; Bernhard Kainz; Loïc Le Folgoc (CoRR, 2021)

Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer. - Cesare Magnetti; Hadrien Reynaud; Bernhard Kainz (CoRR, 2021)

A survey on active learning and human-in-the-loop deep learning for medical image analysis. - Samuel Budd; Emma C. Robinson; Bernhard Kainz (Medical Image Anal., 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; 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; et al. (npj Digit. Medicine, 2021)

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. - 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; et al. (npj Digit. Medicine, 2021)

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. - Qingjie Meng; Jacqueline Matthew; Veronika A. Zimmer; Alberto Gómez 002; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2021)

A variational Bayesian method for similarity learning in non-rigid image registration. - Daniel Grzech; Mohammad Farid Azampour; Ben Glocker; Julia A. Schnabel; Nassir Navab; Bernhard Kainz; Loïc Le Folgoc (CVPR, 2022)

Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. - Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz (ECCV (31), 2022)

Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. - Luca Schmidtke; Benjamin Hou; Athanasios Vlontzos; Bernhard Kainz (ECCV Workshops (3), 2022)

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Matthew Baugh; Jeremy Tan; Athanasios Vlontzos; Johanna P. Müller; Bernhard Kainz (UNSURE@MICCAI, 2022)

Adnexal Mass Segmentation with Ultrasound Data Synthesis. - Clara Lebbos; Jen Barcroft; Jeremy Tan; Johanna P. Müller; Matthew Baugh; Athanasios Vlontzos; Srdjan Saso; Bernhard Kainz (ASMUS@MICCAI, 2022)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

D'ARTAGNAN: Counterfactual Video Generation. - Hadrien Reynaud; Athanasios Vlontzos; Mischa Dombrowski; Ciarán M. Gilligan-Lee; Arian Beqiri; Paul Leeson; Bernhard Kainz (MICCAI (8), 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

Is More Data All You Need? A Causal Exploration. - Athanasios Vlontzos; Hadrien Reynaud; Bernhard Kainz (CoRR, 2022)

A Review of Causality for Learning Algorithms in Medical Image Analysis. - Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2022)

Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. - Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz (CoRR, 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; 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; et al. (npj Digit. Medicine, 2022)

PRETUS: A plug-in based platform for real-time ultrasound imaging research. - Alberto Gómez 002; Veronika A. Zimmer; Gavin Wheeler; Nicolas Toussaint; Shujie Deng; Robert Wright; Emily Skelton; Jackie Matthews; Bernhard Kainz; Joseph V. Hajnal; Julia A. Schnabel (SoftwareX, 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. - Tianrui Liu 001; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. - Constantin Jehn; Johanna P. Müller; Bernhard Kainz (Bildverarbeitung für die Medizin, 2023)

Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis. - Bernhard Kainz (Bildverarbeitung für die Medizin, 2023)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. - Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz (ICCV, 2023)

LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. - Berke Doga Basaran; Weitong Zhang; Mengyun Qiao; Bernhard Kainz; Paul M. Matthews; Wenjia Bai (DALI@MICCAI, 2023)

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. - Matthew Baugh; Jeremy Tan; Johanna P. Müller; Mischa Dombrowski; James Batten; Bernhard Kainz (MICCAI (1), 2023)

Realistic Data Enrichment for Robust Image Segmentation in Histopathology. - Sarah Cechnicka; James Ball; Hadrien Reynaud; Callum Arthurs; Candice Roufosse; Bernhard Kainz (DART@MICCAI, 2023)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. - Qiang Ma 004; Liu Li; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (4), 2023)

Confidence-Aware and Self-supervised Image Anomaly Localisation. - Johanna P. Müller; Matthew Baugh; Jeremy Tan; Mischa Dombrowski; Bernhard Kainz (UNSURE@MICCAI, 2023)

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. - Hadrien Reynaud; Mengyun Qiao; Mischa Dombrowski; Thomas G. Day; Reza Razavi; Alberto Gómez 002; Paul Leeson; Bernhard Kainz (MICCAI (10), 2023)

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. - Glejdis Shkëmbi; Johanna P. Müller; Zhe Li 025; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (DEMI@MICCAI, 2023)

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. - Weitong Zhang; Berke Doga Basaran; Qingjie Meng; Matthew Baugh; Jonathan K. Stelter; Phillip Lung; Uday Patel; Wenjia Bai; Dimitrios C. Karampinos; Bernhard Kainz (MICCAI (10), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (CoRR, 2023)

Realistic Data Enrichment for Robust Image Segmentation in Histopathology. - Sarah Cechnicka; James Ball; Callum Arthurs; Candice Roufosse; Bernhard Kainz (CoRR, 2023)

Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. - Mischa Dombrowski; Bernhard Kainz (CoRR, 2023)

Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. - Matthew Baugh; James Batten; Johanna P. Müller; Bernhard Kainz (CoRR, 2023)

Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference. - Sudarshan Sreeram; Bernhard Kainz (CoRR, 2023)

Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation. - Hadrien Reynaud; Bernhard Kainz (CoRR, 2023)

Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (CoRR, 2023)

Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology. - Sarah Cechnicka; Hadrien Reynaud; James Ball; Naomi Simmonds; Catherine Horsfield; Andrew P. T. Smith; Candice Roufosse; Bernhard Kainz (CoRR, 2023)

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Robert Wright; Gavin Wheeler; Shujie Deng; Nooshin Ghavami; Karen Lloyd; Jacqueline Matthew; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; et al. (Medical Image Anal., 2023)

Estimating categorical counterfactuals via deep twin networks. - Athanasios Vlontzos; Bernhard Kainz; Ciarán M. Gilligan-Lee (Nat. Mac. Intell., 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Improving image labelling quality. - Thomas G. Day; John M. Simpson; Reza Razavi; Bernhard Kainz (Nat. Mac. Intell., 2023)

ParaDime: A Framework for Parametric Dimensionality Reduction. - Andreas P. Hinterreiter; Christina Humer; Bernhard Kainz; Marc Streit (Comput. Graph. Forum, 2023)

Fast fetal head compounding from multi-view 3D ultrasound. - Robert Wright; Alberto Gómez 002; Veronika A. Zimmer; Nicolas Toussaint; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (Medical Image Anal., 2023)

Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease. - Grzegorz Sarapata; Yuriy Dushin; Gareth Morinan; Joshua Ong; Sanjay Budhdeo; Bernhard Kainz; Jonathan O'Keeffe (IEEE J. Biomed. Health Informatics, 2023)

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (AAAI, 2024)

Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. - Marietta Stegmaier; Johanna P. Müller; Christian Schröder; Thomas G. Day; Michela Cuomo; Oliver Dewald; Sven Dittrich; Bernhard Kainz (Bildverarbeitung für die Medizin, 2024)

Data-Efficient Generation for Dataset Distillation. - Zhe Li 025; Weitong Zhang; Sarah Cechnicka; Bernhard Kainz (ECCV Workshops (19), 2024)

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. - Mathias Öttl; Frauke Wilm; Jana Steenpass; Jingna Qiu; Matthias Rübner; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas Maier 001; Ramona Erber; Bernhard Kainz; Katharina Breininger (ECCV (75), 2024)

Arc2Face: A Foundation Model for ID-Consistent Human Faces. - Foivos Paraperas Papantoniou; Alexandros Lattas; Stylianos Moschoglou; Jiankang Deng; Bernhard Kainz; Stefanos Zafeiriou (ECCV (37), 2024)

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Matthew Baugh; Vasilis Siomos; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (ISBI, 2024)

Image-Conditioned Diffusion Models for Medical Anomaly Detection. - Matthew Baugh; Hadrien Reynaud; Sergio Naval Marimont; Sarah Cechnicka; Johanna P. Müller; Giacomo Tarroni; Bernhard Kainz (UNSURE@MICCAI, 2024)

URCDM: Ultra-Resolution Image Synthesis in Histopathology. - Sarah Cechnicka; James Ball; Matthew Baugh; Hadrien Reynaud; Naomi Simmonds; Andrew P. T. Smith; Catherine Horsfield; Candice Roufosse; Bernhard Kainz (MICCAI (4), 2024)

Uncertainty-Aware Vision Transformers for Medical Image Analysis. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (UNSURE@MICCAI, 2024)

Image Distillation for Safe Data Sharing in Histopathology. - Zhe Li 025; Bernhard Kainz (MICCAI (10), 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (11), 2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Vasilis Siomos; Matthew Baugh; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (MICCAI (11), 2024)

EchoNet-Synthetic: Privacy-Preserving Video Generation for Safe Medical Data Sharing. - Hadrien Reynaud; Qingjie Meng; Mischa Dombrowski; Arijit Ghosh; Thomas G. Day; Alberto Gómez 002; Paul Leeson; Bernhard Kainz (MICCAI (7), 2024)

Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. - Johanna P. Müller; Bernhard Kainz (MLMI@MICCAI (2), 2024)

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. - Weitong Zhang; Chengqi Zang; Liu Li; Sarah Cechnicka; Cheng Ouyang; Bernhard Kainz (NeurIPS, 2024)

Unsupervised Similarity Learning for Image Registration with Energy-Based Models. - Daniel Grzech; Loïc Le Folgoc; Mohammad Farid Azampour; Athanasios Vlontzos; Ben Glocker; Nassir Navab; Julia A. Schnabel; Bernhard Kainz (WBIR, 2024)

Arc2Face: A Foundation Model of Human Faces. - Foivos Paraperas Papantoniou; Alexandros Lattas; Stylianos Moschoglou; Jiankang Deng; Bernhard Kainz; Stefanos Zafeiriou (CoRR, 2024)

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. - Sophie Starck; Vasiliki Sideri-Lampretsa; Bernhard Kainz; Martin J. Menten; Tamara T. Mueller; Daniel Rueckert (CoRR, 2024)

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. - Hadrien Reynaud; Matthew Baugh; Mischa Dombrowski; Sarah Cechnicka; Qingjie Meng; Bernhard Kainz (CoRR, 2024)

Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey. - Andrea Prenner; Bernhard Kainz (CoRR, 2024)

Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. - Weitong Zhang; Chengqi Zang; Bernhard Kainz (CoRR, 2024)

Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models. - Muhammad Haaris Khan; Hadrien Reynaud; Bernhard Kainz (CoRR, 2024)

Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification. - Mischa Dombrowski; Hadrien Reynaud; Bernhard Kainz (CoRR, 2024)

Multitask Weakly Supervised Generative Network for MR-US Registration. - Mohammad Farid Azampour; Kristina Mach; Emad Fatemizadeh; Beatrice Demiray; Kay Westenfelder; Katja Steiger; Matthias Eiber; Thomas Wendler 001; Bernhard Kainz; Nassir Navab (IEEE Trans. Medical Imaging, 2024)

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. - Lisa K. Fischer; Johanna P. Müller; Christian Schröder; Anja Hanser; Michela Cuomo; Thomas G. Day; Cheng Ouyang; Oliver Dewald; Oliver Rompel; Sven Dittrich; Thomas Küstner; Bernhard Kainz (Bildverarbeitung für die Medizin, 2025)

Image Generation Diversity Issues and How to Tame Them. - Mischa Dombrowski; Weitong Zhang; Sarah Cechnicka; Hadrien Reynaud; Bernhard Kainz (CVPR, 2025)

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. - Qiang Ma 004; Kaili Liang; Liu Li; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2025)

Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators. - Giancarlo Speranza; Sven Mischkewitz; Fouad Al-Noor; Bernhard Kainz (npj Digit. Medicine, 2025)

Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Lorenzo Venturini; Samuel Budd; Alfonso Farruggia; Robert Wright; Jacqueline Matthew; Thomas G. Day; Bernhard Kainz; Reza Razavi; Joseph V. Hajnal (npj Digit. Medicine, 2025)

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. - Johanna P. Müller; Robert Wright; Thomas G. Day; Lorenzo Venturini; Samuel Budd; Hadrien Reynaud; Joseph V. Hajnal; Reza Razavi; Bernhard Kainz (CoRR, 2025)

EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation. - Hadrien Reynaud; Alberto Gómez 002; Paul Leeson; Qingjie Meng; Bernhard Kainz (CoRR, 2025)

SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models. - Stathis Galanakis; Alexandros Lattas; Stylianos Moschoglou; Bernhard Kainz; Stefanos Zafeiriou (CoRR, 2025)

Dataset Distillation with Probabilistic Latent Features. - Zhe Li 025; Sarah Cechnicka; Cheng Ouyang; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (CoRR, 2025)

Video Dataset Condensation with Diffusion Models. - Zhe Li 025; Hadrien Reynaud; Mischa Dombrowski; Sarah Cechnicka; Franciskus Xaverius Erick; Bernhard Kainz (CoRR, 2025)

Leveraging Multi-Modal Information to Enhance Dataset Distillation. - Zhe Li 025; Hadrien Reynaud; Bernhard Kainz (CoRR, 2025)

NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI. - 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; et al. (CoRR, 2025)

CRG Score: A Distribution-Aware Clinical Metric for Radiology Report Generation. - Ibrahim Ethem Hamamci; Sezgin Er; Suprosanna Shit; Hadrien Reynaud; Bernhard Kainz; Bjoern H. Menze (CoRR, 2025)

Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models. - Mischa Dombrowski; Bernhard Kainz (CoRR, 2025)

Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis. - Weitong Zhang; Mengyun Qiao; Chengqi Zang; Steven A. Niederer; Paul M. Matthews; Wenjia Bai; Bernhard Kainz (CoRR, 2025)

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models. - Felix Nützel; Mischa Dombrowski; Bernhard Kainz (CoRR, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)

Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity. - Zuoou Li; Weitong Zhang; Jingyuan Wang; Shuyuan Zhang; Wenjia Bai; Bernhard Kainz; Mengyun Qiao (CoRR, 2025)

CTFlow: Video-Inspired Latent Flow Matching for 3D CT Synthesis. - Jiayi Wang; Hadrien Reynaud; Franciskus Xaverius Erick; Bernhard Kainz (CoRR, 2025)