Sotirios A. Tsaftaris

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 157

Top Venues

CoRR

IEEE Trans. Medical Imaging

Medical Image Anal.

STACOM@MICCAI

Publications

Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR (2024)
Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
GMT: Guided Mask Transformer for Leaf Instance Segmentation. CoRR (2024)
Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. CoRR (2024)
Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Sotirios A. Tsaftaris, Huiyu Zhou
Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Anal. 94 (2024)
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR (2024)
Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR (2024)
Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
Benchmarking Counterfactual Image Generation. CoRR (2024)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43 (6) (2024)
Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR (2024)
Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris
The MRI Scanner as a Diagnostic: Image-less Active Sampling. CoRR (2024)
Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR (2024)
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI (2023)
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR (2023)
Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR (2023)
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. STACOM@MICCAI (2023)
Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI (2023)
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
The role of noise in denoising models for anomaly detection in medical images. CoRR (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. CoRR (2023)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. ICLR (2023)
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR (2023)
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR (2023)
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. CoRR (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)
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90 (2023)
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. CoRR (2023)
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR (2023)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87 (2023)
Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
Compositional Representation Learning for Brain Tumour Segmentation. CoRR (2023)
Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI (2023)
Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CLIP/FAIMI/EPIMI@MICCAI (2023)
Feng Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
Adapting Vision Foundation Models for Plant Phenotyping. ICCV (Workshops) (2023)
Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CoRR (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) (2023)
Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN (2023)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) (2022)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR (2022)
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI (2022)
Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) (2022)
Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR (2022)
Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR (2022)
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR (2022)
John Hartley, Sotirios A. Tsaftaris
Unintended memorisation of unique features in neural networks. CoRR (2022)
John Hartley, Sotirios A. Tsaftaris
Measuring Unintended Memorisation of Unique Private Features in Neural Networks. CoRR (2022)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Learning disentangled representations in the imaging domain. Medical Image Anal. 80 (2022)
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) (2022)
Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR (2022)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. CoRR (2022)
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris
Causal Machine Learning for Healthcare and Precision Medicine. CoRR (2022)
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR (2022)
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR (2022)
Pedro Sanchez, Sotirios A. Tsaftaris
Diffusion Causal Models for Counterfactual Estimation. CoRR (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, 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, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Pedro Sanchez, Sotirios A. Tsaftaris
Diffusion Causal Models for Counterfactual Estimation. CLeaR (2022)
Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR (2022)
Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
Why patient data cannot be easily forgotten? CoRR (2022)
Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR (2022)
Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
Survey: Leakage and Privacy at Inference Time. CoRR (2021)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR (2021)
Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR (2021)
Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR (2021)
Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) (2021)
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging 40 (3) (2021)
Hugh F. Williamson, Julia Brettschneider, Mario Cáccamo, Robert P. Davey, Carole A. Goble, Paul J. Kersey, Sean T. May, Richard J. Morris, Richard Ostler, Tony P. Pridmore, Christopher J. Rawlings, David J. Studholme, Sotirios A. Tsaftaris, Sabina Leonelli
Data management challenges for artificial intelligence in plant and agricultural research. F1000Research 10 (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR (2021)
Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI (2021)
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR (2021)
Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative
Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. 73 (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging 40 (8) (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI (2021)
Annika Reinke, Matthias Eisenmann, Minu Dietlinde 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 M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. 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
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) (2021)
Sotirios A. Tsaftaris
How Should We Create Algorithms to Do More with Less? IMPROVE (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR (2021)
Mattia Litrico, Sebastiano Battiato, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. J. Imaging 7 (10) (2021)
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI (2021)
Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion 67 (2021)
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. CoRR (2020)
Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR (2020)
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Anal. 64 (2020)
Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR (2020)
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI (2020)
Xiao Liu, Sotirios A. Tsaftaris
Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. MICCAI (1) (2020)
Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR (2020)
Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI (2020)
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR (2020)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR (2020)
Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) (2020)
Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP (2020)
Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)

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Sotirios A. Tsaftaris