Sotirios A. Tsaftaris

245 papers A* 3A 5B 13C 3Misc 1Journal 139Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Framework for Mitigating Data Shifts in Healthcare. CoRR Kurt Butler, Stephanie Riley, Damian Machlanski, Edward Moroshko, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Konstantinos Vilouras, Zhihua Liu, Steven McDonagh, Hana Chockler, Ben Glocker, Niccoló Tempini, Matthew Sperrin, Sotirios A. Tsaftaris, Ricardo Silva
2026	J	`jnl`	CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation. CoRR Robert Cronshaw, Konstantinos Vilouras, Junyu Yan, Yuning Du, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris
2026	J	`jnl`	Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2026	J	`jnl`	Rethinking Chronological Causal Discovery with Signal Processing. CoRR Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris
2025	J	`jnl`	A Shift in Perspective on Causality in Domain Generalization. CoRR Damian Machlanski, Stephanie Riley, Edward Moroshko, Kurt Butler, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Steven McDonagh, Ricardo Silva, Sotirios A. Tsaftaris
2025	J	`jnl`	A model predictive control framework with customer-priority tiers for virtual power plant resilience during extreme weather: A UK heatwave case study. CoRR Edward Moroshko, Weizhe Qin, Desen Kirli, Mohammed Qais, Sotirios A. Tsaftaris, Aristides E. Kiprakis
2025	J	`jnl`	Active Sampling for MRI-based Sequential Decision Making. CoRR Yuning Du, Jingshuai Liu, Rohan Dharmakumar, Sotirios A. Tsaftaris
2025	J	`jnl`	Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models. CoRR Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan, Alison Q. O'Neil, Sotirios A. Tsaftaris
2025	J	`jnl`	CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. CoRR Yuyang Xue, Edward Moroshko, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Causal Ordering for Structure Learning From Time Series. CoRR Pedro P. Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Causal Ordering for Structure Learning from Time Series. Trans. Mach. Learn. Res. Pedro P. Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation. CoRR Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios A. Tsaftaris, Chen Jin
2025	J	`jnl`	Causally Steered Diffusion for Automated Video Counterfactual Generation. CoRR Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2025	J	`jnl`	CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. CoRR Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	J	`jnl`	Count2Density: Crowd Density Estimation without Location-level Annotations. CoRR Mattia Litrico, Feng Chen, Michael P. Pound, Sotirios A. Tsaftaris, Sebastiano Battiato, Mario Valerio Giuffrida
2025	J	`jnl`	Digital twin assisted surgery, concept, opportunities, and challenges. npj Digit. Medicine Lisa Asciak, Justicia Kyeremeh, Xichun Luo, Asimina Kazakidi, Patricia Connolly, Frederic Picard, Kevin O'Neill, Sotirios A. Tsaftaris, Grant D. Stewart, Wenmiao Shu
2025	J	`jnl`	Do generative models learn rare generative factors? Frontiers Artif. Intell. Fasih Haider, Edward Moroshko, Yuyang Xue, Sotirios A. Tsaftaris
2025	A	`conf`	GMT: Guided Mask Transformer for Leaf Instance Segmentation. WACV Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
2025	J	`jnl`	MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis. CoRR Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	A	`conf`	MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. WACV Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	J	`jnl`	Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models. CoRR Ilias Stogiannidis, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digit. Medicine Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Richard J. E. Skipworth, Sotirios A. Tsaftaris, Stephen J. Wigmore, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'Neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang
2025	J	`jnl`	PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping. CoRR Feng Chen, Ilias Stogiannidis, Andrew Wood, Danilo Bueno, Dominic Williams, Fraser Macfarlane, Bruce Grieve, Darren M. Wells, Jonathan A. Atkinson, Malcolm J. Hawkesford, Stephen A. Rolfe, Tracy Lawson, Tony P. Pridmore, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2025	J	`jnl`	Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers. CoRR Christopher Boland, Sotirios A. Tsaftaris, Sonia Dahdouh
2025	—	`conf`	Rethinking Chronological Causal Discovery with Signal Processing. IEEECONF Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris
2025	J	`jnl`	SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation. CoRR Junyu Yan, Feng Chen, Yuyang Xue, Yuning Du, Konstantinos Vilouras, Sotirios A. Tsaftaris, Steven McDonagh
2025	A	`conf`	Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning IROS Jingshuai Liu, Alain Andres, Yonghang Jiang, Yuning Du, Xichun Luo, Wenmiao Shu, Can Pu, Sotirios A. Tsaftaris
2025	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. IEEE Trans. Medical Imaging Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2025	—	`conf`	When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers. ICIPW Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Zero-Shot Medical Phrase Grounding With Off-the-Shelf Diffusion Models. IEEE J. Biomed. Health Informatics Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2024	—	`conf`	All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. FAIMI/EPIMI@MICCAI Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh
2024	—	`conf`	BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. FAIMI/EPIMI@MICCAI Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	J	`jnl`	BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning. CoRR Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	A*	`conf`	Benchmarking Counterfactual Image Generation. NeurIPS Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Benchmarking Counterfactual Image Generation. CoRR Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. CoRR Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio
2024	—	`conf`	CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning. UNSURE@MICCAI Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio
2024	J	`jnl`	CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning. CoRR Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio
2024	J	`jnl`	Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. CoRR Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2024	—	`ed.`	Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DART@MICCAI Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024	—	`conf`	Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. MIDL Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	J	`jnl`	Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	A*	`conf`	FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	GMT: Guided Mask Transformer for Leaf Instance Segmentation. CoRR Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
2024	—	`conf`	Inference Stage Denoising for Undersampled MRI Reconstruction. ISBI Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
2024	J	`jnl`	Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
2024	J	`jnl`	Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Anal. Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Sotirios A. Tsaftaris, Huiyu Zhou
2024	J	`jnl`	MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	—	`conf`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. MIDL Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. CoRR Jingshuai Liu, Alain Andres, Yonghang Jiang, Xichun Luo, Wenmiao Shu, Sotirios A. Tsaftaris
2024	—	`conf`	The MRI Scanner as a Diagnostic: Image-Less Active Sampling. MICCAI (3) Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris
2024	J	`jnl`	The MRI Scanner as a Diagnostic: Image-less Active Sampling. CoRR Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris
2024	—	`conf`	There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis. MIDL Christopher Boland, Keith A. Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh
2024	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. CoRR Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2024	J	`jnl`	Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	A Causal Ordering Prior for Unsupervised Representation Learning. CoRR Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
2023	—	`conf`	Adapting Vision Foundation Models for Plant Phenotyping. ICCV (Workshops) Feng Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2023	—	`conf`	Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. STACOM@MICCAI Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023	J	`jnl`	Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. CoRR Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023	—	`conf`	Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositional Representation Learning for Brain Tumour Segmentation. CoRR Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023	J	`jnl`	Compositionally Equivariant Representation Learning. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023	—	`conf`	Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023	A*	`conf`	Diffusion Models for Causal Discovery via Topological Ordering. ICLR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2023	—	`conf`	Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	J	`jnl`	Group Distributionally Robust Knowledge Distillation. CoRR Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2023	—	`ed.`	Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MAD@MICCAI Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2023	J	`jnl`	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 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
2023	J	`jnl`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023	—	`conf`	Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso
2023	J	`jnl`	Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso
2023	B	`conf`	SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2023	J	`jnl`	Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2023	J	`jnl`	The role of noise in denoising models for anomaly detection in medical images. CoRR 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
2023	J	`jnl`	The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 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
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR 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
2023	—	`conf`	Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CLIP/FAIMI/EPIMI@MICCAI Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
2023	J	`jnl`	Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CoRR Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
2022	J	`jnl`	Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris
2022	—	`conf`	Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2022	B	`conf`	CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022	J	`jnl`	Causal Machine Learning for Healthcare and Precision Medicine. CoRR Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	—	`conf`	Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	J	`jnl`	Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	—	`conf`	Diffusion Causal Models for Counterfactual Estimation. CLeaR Pedro Sanchez, Sotirios A. Tsaftaris
2022	J	`jnl`	Diffusion Causal Models for Counterfactual Estimation. CoRR Pedro Sanchez, Sotirios A. Tsaftaris
2022	J	`jnl`	Diffusion Models for Causal Discovery via Topological Ordering. CoRR Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`ed.`	Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings DART@MICCAI Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris
2022	—	`conf`	FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022	—	`conf`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Learning disentangled representations in the imaging domain. Medical Image Anal. Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	Measuring Unintended Memorisation of Unique Private Features in Neural Networks. CoRR John Hartley, Sotirios A. Tsaftaris
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR 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 A. 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 M. 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
2022	J	`jnl`	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR 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
2022	J	`jnl`	Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	J	`jnl`	Unintended memorisation of unique features in neural networks. CoRR John Hartley, Sotirios A. Tsaftaris
2022	—	`conf`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	—	`conf`	Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
2022	J	`jnl`	Why patient data cannot be easily forgotten? CoRR Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris
2022	—	`conf`	vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2022	J	`jnl`	vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	—	`conf`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR 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
2021	—	`conf`	Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Data management challenges for artificial intelligence in plant and agricultural research. F1000Research 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
2021	J	`jnl`	DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray
2021	J	`jnl`	Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2021	—	`ed.`	Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu
2021	B	`conf`	Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2021	—	`conf`	How Should We Create Algorithms to Do More with Less? IMPROVE Sotirios A. Tsaftaris
2021	J	`jnl`	Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative
2021	A	`conf`	Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 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. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir
2021	J	`jnl`	Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	—	`conf`	Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	J	`jnl`	Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	J	`jnl`	Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. J. Imaging Mattia Litrico, Sebastiano Battiato, Sotirios A. Tsaftaris, Mario Valerio Giuffrida
2021	—	`conf`	Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
2021	J	`jnl`	Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris
2021	—	`conf`	Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	J	`jnl`	Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021	J	`jnl`	Survey: Leakage and Privacy at Inference Time. CoRR Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris
2020	J	`jnl`	AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis
2020	B	`conf`	Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2020	—	`conf`	Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	—	`conf`	Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. MICCAI (1) Xiao Liu, Sotirios A. Tsaftaris
2020	J	`jnl`	Have you forgotten? A method to assess if machine learning models have forgotten data. CoRR Xiao Liu, Sotirios A. Tsaftaris
2020	J	`jnl`	INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
2020	—	`conf`	INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris
2020	J	`jnl`	Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	—	`conf`	Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	J	`jnl`	Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. CoRR Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	J	`jnl`	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	—	`conf`	Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2020	J	`jnl`	Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2020	J	`jnl`	Teacher-Student chain for efficient semi-supervised histology image classification. CoRR Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil
2020	J	`jnl`	Unsupervised Rotation Factorization in Restricted Boltzmann Machines. IEEE Trans. Image Process. Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2020	J	`jnl`	Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2019	—	`conf`	Adversarial Large-Scale Root Gap Inpainting. CVPR Workshops Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
2019	—	`conf`	Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. MIDL Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	J	`jnl`	Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. CoRR Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	J	`jnl`	Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning. CoRR Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris
2019	—	`conf`	Consistent Brain Ageing Synthesis. MICCAI (4) Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangled representation learning in cardiac image analysis. Medical Image Anal. Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang
2019	J	`jnl`	Factorised Representation Learning in Cardiac Image Analysis. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. CVPR Workshops Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris
2019	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. CoRR Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris
2019	—	`conf`	Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. LOUHI@EMNLP Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil
2019	—	`conf`	TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray
2019	—	`conf`	Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2019	J	`jnl`	Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2019	J	`jnl`	The Generalized Complex Kernel Least-Mean-Square Algorithm. CoRR Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris
2019	J	`jnl`	The Generalized Complex Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris
2019	—	`conf`	Understanding Deep Neural Networks for Regression in Leaf Counting. CVPR Workshops Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2018	J	`jnl`	Editorial for Special Issue on Reproducible Research. Digit. Signal Process. Ömer Nezih Gerek, Boualem Boashash, Mikolaj Leszczuk, Sotirios A. Tsaftaris, Wes Armour, David Wallom
2018	—	`conf`	Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Multimodal MR Synthesis via Modality-Invariant Latent Representation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2018	A	`conf`	Root Gap Correction with a Deep Inpainting Model. BMVC Hao Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris, Peter Doerner
2018	J	`jnl`	Simulation and Synthesis in Medical Imaging. IEEE Trans. Medical Imaging Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince
2018	J	`jnl`	Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia
2017	—	`conf`	ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. ICCV Workshops Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
2017	J	`jnl`	ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network. CoRR Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
2017	—	`conf`	Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. SASHIMI@MICCAI Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris
2017	—	`conf`	Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. ICCV Workshops Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris
2017	—	`conf`	Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. STACOM@MICCAI Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris
2017	—	`conf`	Leveraging Multiple Datasets for Deep Leaf Counting. ICCV Workshops Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2017	J	`jnl`	Leveraging multiple datasets for deep leaf counting. CoRR Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2017	—	`conf`	Robust Multi-modal MR Image Synthesis. MICCAI (3) Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris
2017	—	`ed.`	Simulation and Synthesis in Medical Imaging - Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings SASHIMI@MICCAI Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
2017	J	`jnl`	Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
2016	J	`jnl`	Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. IEEE Trans. Medical Imaging Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2016	J	`jnl`	Finely-grained annotated datasets for image-based plant phenotyping. Pattern Recognit. Lett. Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris
2016	J	`jnl`	Leaf segmentation in plant phenotyping: a collation study. Mach. Vis. Appl. Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol Luengo, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris
2016	—	`conf`	Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters. ICANN (2) Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2016	J	`jnl`	Rotation-Invariant Restricted Boltzmann Machine using shared gradient filters. CoRR Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2016	—	`ed.`	Simulation and Synthesis in Medical Imaging - First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings SASHIMI@MICCAI Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince
2016	J	`jnl`	Special issue on computer vision and image analysis in plant phenotyping. Mach. Vis. Appl. Hanno Scharr, Hannah M. Dee, Andrew P. French, Sotirios A. Tsaftaris
2016	J	`jnl`	Supporting Autonomic Management of Clouds: Service Clustering With Random Forest. IEEE Trans. Netw. Serv. Manag. Rafael Brundo Uriarte, Francesco Tiezzi, Sotirios A. Tsaftaris
2016	J	`jnl`	Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations. CoRR Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2016	—	`conf`	Whole Image Synthesis Using a Deep Encoder-Decoder Network. SASHIMI@MICCAI Vasileios Sevetlidis, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2015	C	`conf`	Classification-aware distortion metric for HEVC intra coding. VCIP Massimo Minervini, Sotirios A. Tsaftaris
2015	—	`conf`	Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015	—	`conf`	Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2015	J	`jnl`	Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. IEEE Signal Process. Mag. Massimo Minervini, Hanno Scharr, Sotirios A. Tsaftaris
2015	J	`jnl`	Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies. Int. J. High Perform. Comput. Appl. Massimo Minervini, Cristian Rusu, Mario Damiano, Valter Tucci, Angelo Bifone, Alessandro Gozzi, Sotirios A. Tsaftaris
2015	B	`conf`	Service Clustering for Autonomic Clouds Using Random Forest. CCGRID Rafael Brundo Uriarte, Sotirios A. Tsaftaris, Francesco Tiezzi
2015	—	`conf`	Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris
2015	—	`conf`	Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
2014	J	`jnl`	A Scientist's Guide to Cloud Computing. Comput. Sci. Eng. Sotirios A. Tsaftaris
2014	J	`jnl`	Image-based plant phenotyping with incremental learning and active contours. Ecol. Informatics Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris
2014	—	`conf`	Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest. MICCAI (2) Cristian Rusu, Sotirios A. Tsaftaris
2014	J	`jnl`	Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling. IEEE Trans. Medical Imaging Cristian Rusu, Rita Morisi, Davide Boschetto, Rohan Dharmakumar, Sotirios A. Tsaftaris
2014	B	`conf`	Unsupervised and supervised approaches to color space transformation for image coding. ICIP Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris
2013	—	`conf`	Active contour model driven by Globally Signed Region Pressure Force. DSP Mohammed M. Abdelsamea, Sotirios A. Tsaftaris
2013	J	`jnl`	Application-Aware Approach to Compression and Transmission of H.264 Encoded Video for Automated and Centralized Transportation Surveillance. IEEE Trans. Intell. Transp. Syst. Zhaofu Chen, Sotirios A. Tsaftaris, Eren Soyak, Aggelos K. Katsaggelos
2013	—	`conf`	Application-aware image compression for low cost and distributed plant phenotyping. DSP Massimo Minervini, Sotirios A. Tsaftaris
2013	C	`conf`	Estimation of scribble placement for painting colorization. ISPA Cristian Rusu, Sotirios A. Tsaftaris
2013	C	`conf`	Learning computationally efficient approximations of complex image segmentation metrics. ISPA Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris
2012	—	`conf`	Mouse neuroimaging phenotyping in the cloud. IPTA Massimo Minervini, Mario Damiano, Valter Tucci, Angelo Bifone, Alessandro Gozzi, Sotirios A. Tsaftaris
2012	—	`conf`	Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance. EUSIPCO Zhaofu Chen, Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2011	J	`jnl`	Anomalous video event detection using spatiotemporal context. Comput. Vis. Image Underst. Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2011	B	`conf`	Channel protection for H.264 compression in transportation video surveillance applications. ICIP Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2011	J	`jnl`	Colorizing a Masterpiece [Applications Corner]. IEEE Signal Process. Mag. Sotirios A. Tsaftaris, Kristin H. Lister, Inge Fiedler, Francesca Casadio, Aggelos K. Katsaggelos
2011	J	`jnl`	Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance. IEEE Trans. Circuits Syst. Video Technol. Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2011	B	`conf`	Tracking-optimized quantization for H.264 compression in transportation video surveillance applications. ICIP Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2010	Misc	`conf`	Content-aware H.264 encoding for traffic video tracking applications. ICASSP Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2010	B	`conf`	Quantization optimized H.264 encoding for traffic video tracking applications. ICIP Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2010	—	`conf`	Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications. ICECS Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2010	B	`conf`	Video anomaly detection in spatiotemporal context. ICIP Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2009	—	`conf`	Plant phenotyping with low cost digital cameras and image analytics. ITEE Sotirios A. Tsaftaris, Christos Noutsos
2008	B	`conf`	A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. ICIP Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar
2008	B	`conf`	Automated line flattening of Atomic Force Microscopy images. ICIP Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos
2008	B	`conf`	Local feature extraction for video copy detection in a database. ICIP Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2008	—	`conf`	Restoration of the cantilever bowing distortion in Atomic Force Microscopy images. EUSIPCO Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos
2007	—	`conf`	DNA Microarray Image Intensity Extraction using Eigenspots. ICIP (6) Sotirios A. Tsaftaris, Ramandeep Ahuja, Derek J. Shiell, Aggelos K. Katsaggelos
2007	—	`conf`	Retrieval accuracy of very large DNA-based databases of digital signals. EUSIPCO Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2006	—	`conf`	DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases. ICASSP (2) Sotirios A. Tsaftaris, Vassily Hatzimanikatis, Aggelos K. Katsaggelos
2006	J	`jnl`	Joint source-channel coding for wireless object-based video communications utilizing data hiding. IEEE Trans. Image Process. Haohong Wang, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2005	—	`conf`	On Designing DNA Databases for the Storage and Retrieval of Digital Signals. ICNC (2) Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
2004	J	`jnl`	DNA computing from a signal processing viewpoint. IEEE Signal Process. Mag. Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis
2004	—	`conf`	DNA-based matching of digital signals. ICASSP (5) Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis
2004	J	`jnl`	Fast Watermarking of MPEG-1/2 Streams Using Compressed-Domain Perceptual Embedding and a Generalized Correlator Detector. EURASIP J. Adv. Signal Process. Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Alexia Briassouli, Michael G. Strintzis
2004	J	`jnl`	How can DNA computing be applied to digital signal processing? IEEE Signal Process. Mag. Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis
2002	—	`conf`	Compressed-domain video watermarking of MPEG streams. ICME (1) Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis
2002	—	`conf`	Fast MPEG watermarking for copyright protection. ICECS Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis
2001	—	`conf`	Digital Watermarking Of Mpeg-1 And Mpeg-2 Multiplexed Streams For Copyright Protection. Workshop on Digital and Computational Video Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis