Alert button
Picture for Ben Glocker

Ben Glocker

Alert button

Learning-Based Quality Control for Cardiac MR Images

Sep 15, 2018
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert

Figure 1 for Learning-Based Quality Control for Cardiac MR Images
Figure 2 for Learning-Based Quality Control for Cardiac MR Images
Figure 3 for Learning-Based Quality Control for Cardiac MR Images
Figure 4 for Learning-Based Quality Control for Cardiac MR Images
Viaarxiv icon

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Aug 22, 2018
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert

Figure 1 for Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Figure 2 for Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Figure 3 for Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Figure 4 for Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Viaarxiv icon

Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes

Jul 30, 2018
Vanya V. Valindria, Ioannis Lavdas, Juan Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

Figure 1 for Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes
Figure 2 for Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes
Figure 3 for Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes
Viaarxiv icon

Semi-Supervised Learning via Compact Latent Space Clustering

Jul 29, 2018
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

Figure 1 for Semi-Supervised Learning via Compact Latent Space Clustering
Figure 2 for Semi-Supervised Learning via Compact Latent Space Clustering
Figure 3 for Semi-Supervised Learning via Compact Latent Space Clustering
Figure 4 for Semi-Supervised Learning via Compact Latent Space Clustering
Viaarxiv icon

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

Jul 17, 2018
Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz

Figure 1 for Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Figure 2 for Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Figure 3 for Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Figure 4 for Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Viaarxiv icon

Reconstructing Subject-Specific Effect Maps

Jul 17, 2018
Ender Konukoglu, Ben Glocker

Figure 1 for Reconstructing Subject-Specific Effect Maps
Figure 2 for Reconstructing Subject-Specific Effect Maps
Figure 3 for Reconstructing Subject-Specific Effect Maps
Figure 4 for Reconstructing Subject-Specific Effect Maps
Viaarxiv icon

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks

Jul 09, 2018
Dimitrios Korkinof, Tobias Rijken, Michael O'Neill, Joseph Yearsley, Hugh Harvey, Ben Glocker

Figure 1 for High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
Figure 2 for High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
Figure 3 for High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
Figure 4 for High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
Viaarxiv icon

Real-time Prediction of Segmentation Quality

Jun 16, 2018
Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya Valindria, Mihir Sanghvi, Nay Aung, José Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Chris Page, Daniel Rueckert, Ben Glocker

Figure 1 for Real-time Prediction of Segmentation Quality
Figure 2 for Real-time Prediction of Segmentation Quality
Figure 3 for Real-time Prediction of Segmentation Quality
Figure 4 for Real-time Prediction of Segmentation Quality
Viaarxiv icon

Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging

Jun 14, 2018
Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu

Figure 1 for Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Figure 2 for Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Figure 3 for Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Figure 4 for Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Viaarxiv icon

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines

Jun 11, 2018
Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker

Figure 1 for NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Figure 2 for NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Figure 3 for NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Figure 4 for NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Viaarxiv icon