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Controllable cardiac synthesis via disentangled anatomy arithmetic


Jul 04, 2021
Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris

* Accepted for publication in MICCAI 2021 

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Survey: Leakage and Privacy at Inference Time


Jul 04, 2021
Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris


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Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation


Jun 24, 2021
Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris

* Accepted by MICCAI 2021 

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Common Limitations of Image Processing Metrics: A Picture Story


Apr 13, 2021
Annika Reinke, Matthias Eisenmann, Minu D. Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Bjoern Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

* This is a dynamic paper on limitations of commonly used metrics. The current version discusses segmentation metrics only, while future versions will also include metrics for classification and detection. For missing use cases, comments or questions, please contact [email protected] or [email protected]. Substantial contributions to this document will be acknowledged with a co-authorship 

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Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling


Sep 05, 2020
Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris

* MICCAI-2020 MyoPS Challenge Paper 
* 13 pages, 7 figures, conference paper 

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Semi-supervised Pathology Segmentation with Disentangled Representations


Sep 05, 2020
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

* MICCAI-2020 DART workshop 
* 12 Pages, 4 figures 

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Metrics for Exposing the Biases of Content-Style Disentanglement


Aug 31, 2020
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

* 21 pages, 8 figures 

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Disentangled Representations for Domain-generalized Cardiac Segmentation


Aug 26, 2020
Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

* Accepted by STACOM 2020 

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INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs


Aug 21, 2020
Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris

* Accepted at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 

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Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates


Jul 02, 2020
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

* Project page: https://gvalvano.github.io/wss-multiscale-adversarial-attention-gates 

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Pseudo-healthy synthesis with pathology disentanglement and adversarial learning


May 05, 2020
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

* This paper has been accepted by Medical Image Analysis 

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Learning to synthesise the ageing brain without longitudinal data


Dec 12, 2019
Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris


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Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning


Dec 05, 2019
Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris


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Disentangle, align and fuse for multimodal and zero-shot image segmentation


Nov 12, 2019
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris


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Temporal Consistency Objectives Regularize the Learning of Disentangled Representations


Aug 29, 2019
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris

* 9 pages, 4 figures (1 .gif), 1 table 

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FIRE: Unsupervised bi-directional inter-modality registration using deep networks


Jul 11, 2019
Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang

* We submitted this paper to a top medical imaging conference, srebuttal responded by the meta-reviewer. We were told that this work is not important and will not have big impact as the "reviewers were not enthusiastic". Here I publish the paper online for an open discussion. I will publish the code, the pre-trained model, the results, especially the reviews, and the meta reviews on github 

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Factorised Representation Learning in Cardiac Image Analysis


Mar 22, 2019
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris


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The Generalized Complex Kernel Least-Mean-Square Algorithm


Feb 22, 2019
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris

* Submitted to IEEE Transactions on Signal Processing 

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Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization


Jan 10, 2019
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris


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Factorised spatial representation learning: application in semi-supervised myocardial segmentation


Nov 02, 2018
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

* Accepted in MICCAI 2018 

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Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations


Jun 29, 2016
Mario Valerio Giuffrida, Sotirios A. Tsaftaris

* 9 pages, 2 figures, 3 tables 

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Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters


Jun 23, 2016
Mario Valerio Giuffrida, Sotirios A. Tsaftaris

* 8 pages, 3 figures, 1 table 

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