| 2025 | ACSSC | Rethinking Chronological Causal Discovery with Signal Processing. | Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris |
| 2025 | ICIP | When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers. | Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris |
| 2025 | IROS | Towards Surgical Task Automation: Actor-Critic Models Meet Self-Supervised Imitation Learning | Jingshuai Liu, Alain Andres, Yonghang Jiang, Yuning Du, Xichun Luo, Wenmiao Shu, Can Pu, Sotirios A. Tsaftaris |
| 2025 | WACV | GMT: Guided Mask Transformer for Leaf Instance Segmentation. | Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida |
| 2025 | WACV | MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. | Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales |
| 2024 | ICLR | FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. | Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales |
| 2024 | MICCAI | All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. | Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh |
| 2024 | MICCAI | CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning. | Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio |
| 2024 | MICCAI | The MRI Scanner as a Diagnostic: Image-Less Active Sampling. | Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2024 | MICCAI | BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. | Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris |
| 2023 | ICLR | Diffusion Models for Causal Discovery via Topological Ordering. | Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2023 | IJCNN | SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. | Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi |
| 2023 | MICCAI | Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. | Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenkw, Sotirios A. Tsaftaris, M. Jorge Cardoso |
| 2023 | MICCAI | Compositional Representation Learning for Brain Tumour Segmentation. | Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil |
| 2022 | ICPR | CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. | Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi |
| 2022 | MICCAI | Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. | Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek |
| 2022 | MICCAI | Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. | Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel |
| 2022 | MICCAI | vMFNet: Compositionality Meets Domain-Generalised Segmentation. | Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2022 | MICCAI | HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. | Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2022 | MICCAI | What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. | Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2022 | MICCAI | Why Patient Data Cannot Be Easily Forgotten? | Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris |
| 2021 | BMVC | Measuring the Biases and Effectiveness of Content-Style Disentanglement. | Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2021 | ICTAI | Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. | Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris |
| 2021 | MICCAI | Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. | Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris |
| 2021 | MICCAI | Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. | Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel |
| 2021 | MICCAI | Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. | Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris |
| 2021 | MICCAI | Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. | Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris |
| 2021 | MICCAI | Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. | Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris |
| 2020 | ICIP | Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. | Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris |
| 2020 | MICCAI | INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. | Grzegorz Jacenkw, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris |
| 2020 | MICCAI | Semi-supervised Pathology Segmentation with Disentangled Representations. | Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2020 | MICCAI | Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. | Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris |
| 2020 | MICCAI | Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. | Xiao Liu, Sotirios A. Tsaftaris |
| 2020 | MICCAI | Disentangled Representations for Domain-Generalized Cardiac Segmentation. | Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris |
| 2019 | CVPR | Adversarial Large-Scale Root Gap Inpainting. | Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris |
| 2019 | CVPR | Understanding Deep Neural Networks for Regression in Leaf Counting. | Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris |
| 2019 | CVPR | Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. | Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris |
| 2019 | MICCAI | Multimodal Cardiac Segmentation Using Disentangled Representation Learning. | Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2019 | MICCAI | Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. | Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris |
| 2019 | MICCAI | TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. | Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray |
| 2019 | MICCAI | Consistent Brain Ageing Synthesis. | Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris |
| 2018 | BMVC | Root Gap Correction with a Deep Inpainting Model. | Hao Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris, Peter Doerner |
| 2018 | MICCAI | Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. | Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2017 | MICCAI | Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. | Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2017 | MICCAI | Robust Multi-modal MR Image Synthesis. | Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris |
| 2017 | MICCAI | Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. | Ilkay ksz, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2016 | ICANN | Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters. | Mario Valerio Giuffrida, Sotirios A. Tsaftaris |
| 2016 | MICCAI | Whole Image Synthesis Using a Deep Encoder-Decoder Network. | Vasileios Sevetlidis, Mario Valerio Giuffrida, Sotirios A. Tsaftaris |
| 2015 | CCGRID | Service Clustering for Autonomic Clouds Using Random Forest. | Rafael Brundo Uriarte, Sotirios A. Tsaftaris, Francesco Tiezzi |
| 2015 | MICCAI | Unsupervised Myocardial Segmentation for Cardiac MRI. | Anirban Mukhopadhyay, Ilkay ksz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2015 | MICCAI | Supervised Learning of Functional Maps for Infarct Classification. | Anirban Mukhopadhyay, Ilkay ksz, Sotirios A. Tsaftaris |
| 2015 | MICCAI | Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. | Ilkay ksz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2015 | VCIP | Classification-aware distortion metric for HEVC intra coding. | Massimo Minervini, Sotirios A. Tsaftaris |
| 2014 | ICIP | Unsupervised and supervised approaches to color space transformation for image coding. | Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris |
| 2014 | MICCAI | Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest. | Cristian Rusu, Sotirios A. Tsaftaris |
| 2011 | ICIP | Tracking-optimized quantization for H.264 compression in transportation video surveillance applications. | Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2011 | ICIP | Channel protection for H.264 compression in transportation video surveillance applications. | Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2010 | ICASSP | Content-aware H.264 encoding for traffic video tracking applications. | Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2010 | ICIP | Video anomaly detection in spatiotemporal context. | Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2010 | ICIP | Quantization optimized H.264 encoding for traffic video tracking applications. | Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2008 | ICIP | Local feature extraction for video copy detection in a database. | Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2008 | ICIP | A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. | Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar |
| 2008 | ICIP | Automated line flattening of Atomic Force Microscopy images. | Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos |
| 2007 | ICIP | DNA Microarray Image Intensity Extraction using Eigenspots. | Sotirios A. Tsaftaris, Ramandeep Ahuja, Derek J. Shiell, Aggelos K. Katsaggelos |
| 2006 | ICASSP | DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases. | Sotirios A. Tsaftaris, Vassily Hatzimanikatis, Aggelos K. Katsaggelos |
| 2005 | ICNC | On Designing DNA Databases for the Storage and Retrieval of Digital Signals. | Sotirios A. Tsaftaris, Aggelos K. Katsaggelos |
| 2004 | ICASSP | DNA-based matching of digital signals. | Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis |