Digital Watermarking Of Mpeg-1 And Mpeg-2 Multiplexed Streams For Copyright Protection. - Dimitrios Simitopoulos; Sotirios A. Tsaftaris; Nikolaos V. Boulgouris; Michael G. Strintzis (Workshop on Digital and Computational Video, 2001)

Fast MPEG watermarking for copyright protection. - Dimitrios Simitopoulos; Sotirios A. Tsaftaris; Nikolaos V. Boulgouris; Michael G. Strintzis (ICECS, 2002)

Compressed-domain video watermarking of MPEG streams. - Dimitrios Simitopoulos; Sotirios A. Tsaftaris; Nikolaos V. Boulgouris; Michael G. Strintzis (ICME (1), 2002)

DNA-based matching of digital signals. - Sotirios A. Tsaftaris; Aggelos K. Katsaggelos; Thrasyvoulos N. Pappas; Eleftherios T. Papoutsakis (ICASSP (5), 2004)

Fast Watermarking of MPEG-1/2 Streams Using Compressed-Domain Perceptual Embedding and a Generalized Correlator Detector. - Dimitrios Simitopoulos; Sotirios A. Tsaftaris; Nikolaos V. Boulgouris; Alexia Briassouli; Michael G. Strintzis (EURASIP J. Adv. Signal Process., 2004)

DNA computing from a signal processing viewpoint. - Sotirios A. Tsaftaris; Aggelos K. Katsaggelos; Thrasyvoulos N. Pappas; Eleftherios T. Papoutsakis (IEEE Signal Process. Mag., 2004)

How can DNA computing be applied to digital signal processing? - Sotirios A. Tsaftaris; Aggelos K. Katsaggelos; Thrasyvoulos N. Pappas; Eleftherios T. Papoutsakis (IEEE Signal Process. Mag., 2004)

On Designing DNA Databases for the Storage and Retrieval of Digital Signals. - Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICNC (2), 2005)

DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases. - Sotirios A. Tsaftaris; Vassily Hatzimanikatis; Aggelos K. Katsaggelos (ICASSP (2), 2006)

Joint source-channel coding for wireless object-based video communications utilizing data hiding. - Haohong Wang; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2006)

Retrieval accuracy of very large DNA-based databases of digital signals. - Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (EUSIPCO, 2007)

DNA Microarray Image Intensity Extraction using Eigenspots. - Sotirios A. Tsaftaris; Ramandeep Ahuja; Derek J. Shiell; Aggelos K. Katsaggelos (ICIP (6), 2007)

Restoration of the cantilever bowing distortion in Atomic Force Microscopy images. - Sotirios A. Tsaftaris; Jana Zujovic; Aggelos K. Katsaggelos (EUSIPCO, 2008)

Local feature extraction for video copy detection in a database. - Ehsan Maani; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICIP, 2008)

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 (ICIP, 2008)

Automated line flattening of Atomic Force Microscopy images. - Sotirios A. Tsaftaris; Jana Zujovic; Aggelos K. Katsaggelos (ICIP, 2008)

Plant phenotyping with low cost digital cameras and image analytics. - Sotirios A. Tsaftaris; Christos Noutsos (ITEE, 2009)

Content-aware H.264 encoding for traffic video tracking applications. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICASSP, 2010)

Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICECS, 2010)

Video anomaly detection in spatiotemporal context. - Fan Jiang; Junsong Yuan 001; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICIP, 2010)

Quantization optimized H.264 encoding for traffic video tracking applications. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICIP, 2010)

Tracking-optimized quantization for H.264 compression in transportation video surveillance applications. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICIP, 2011)

Channel protection for H.264 compression in transportation video surveillance applications. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (ICIP, 2011)

Anomalous video event detection using spatiotemporal context. - Fan Jiang; Junsong Yuan 001; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (Comput. Vis. Image Underst., 2011)

Colorizing a Masterpiece [Applications Corner]. - Sotirios A. Tsaftaris; Kristin H. Lister; Inge Fiedler; Francesca Casadio; Aggelos K. Katsaggelos (IEEE Signal Process. Mag., 2011)

Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance. - Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (IEEE Trans. Circuits Syst. Video Technol., 2011)

Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance. - Zhaofu Chen; Eren Soyak; Sotirios A. Tsaftaris; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Mouse neuroimaging phenotyping in the cloud. - Massimo Minervini; Mario Damiano; Valter Tucci; Angelo Bifone; Alessandro Gozzi; Sotirios A. Tsaftaris (IPTA, 2012)

Active contour model driven by Globally Signed Region Pressure Force. - Mohammed M. Abdelsamea; Sotirios A. Tsaftaris (DSP, 2013)

Application-aware image compression for low cost and distributed plant phenotyping. - Massimo Minervini; Sotirios A. Tsaftaris (DSP, 2013)

Learning computationally efficient approximations of complex image segmentation metrics. - Massimo Minervini; Cristian Rusu; Sotirios A. Tsaftaris (ISPA, 2013)

Estimation of scribble placement for painting colorization. - Cristian Rusu; Sotirios A. Tsaftaris (ISPA, 2013)

Application-Aware Approach to Compression and Transmission of H.264 Encoded Video for Automated and Centralized Transportation Surveillance. - Zhaofu Chen; Sotirios A. Tsaftaris; Eren Soyak; Aggelos K. Katsaggelos (IEEE Trans. Intell. Transp. Syst., 2013)

Unsupervised and supervised approaches to color space transformation for image coding. - Massimo Minervini; Cristian Rusu; Sotirios A. Tsaftaris (ICIP, 2014)

Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest. - Cristian Rusu; Sotirios A. Tsaftaris (MICCAI (2), 2014)

A Scientist's Guide to Cloud Computing. - Sotirios A. Tsaftaris (Comput. Sci. Eng., 2014)

Image-based plant phenotyping with incremental learning and active contours. - Massimo Minervini; Mohammed M. Abdelsamea; Sotirios A. Tsaftaris (Ecol. Informatics, 2014)

Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling. - Cristian Rusu; Rita Morisi; Davide Boschetto; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2014)

Service Clustering for Autonomic Clouds Using Random Forest. - Rafael Brundo Uriarte; Sotirios A. Tsaftaris; Francesco Tiezzi 001 (CCGRID, 2015)

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. - Anirban Mukhopadhyay 003; Ilkay Öksüz; Marco Bevilacqua; Rohan Dharmakumar; Sotirios A. Tsaftaris (FIMH, 2015)

Unsupervised Myocardial Segmentation for Cardiac MRI. - Anirban Mukhopadhyay 003; Ilkay Öksüz; Marco Bevilacqua; Rohan Dharmakumar; Sotirios A. Tsaftaris (MICCAI (3), 2015)

Supervised Learning of Functional Maps for Infarct Classification. - Anirban Mukhopadhyay 003; Ilkay Öksüz; Sotirios A. Tsaftaris (STACOM@MICCAI, 2015)

Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. - Ilkay Öksüz; Anirban Mukhopadhyay 003; Marco Bevilacqua; Rohan Dharmakumar; Sotirios A. Tsaftaris (MICCAI (2), 2015)

Classification-aware distortion metric for HEVC intra coding. - Massimo Minervini; Sotirios A. Tsaftaris (VCIP, 2015)

Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies. - Massimo Minervini; Cristian Rusu; Mario Damiano; Valter Tucci; Angelo Bifone; Alessandro Gozzi; Sotirios A. Tsaftaris (Int. J. High Perform. Comput. Appl., 2015)

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. - Massimo Minervini; Hanno Scharr; Sotirios A. Tsaftaris (IEEE Signal Process. Mag., 2015)

Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters. - Mario Valerio Giuffrida; Sotirios A. Tsaftaris (ICANN (2), 2016)

Whole Image Synthesis Using a Deep Encoder-Decoder Network. - Vasileios Sevetlidis; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (SASHIMI@MICCAI, 2016)

Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations. - Mario Valerio Giuffrida; Sotirios A. Tsaftaris (CoRR, 2016)

Special issue on computer vision and image analysis in plant phenotyping. - Hanno Scharr; Hannah Dee; Andrew P. French; Sotirios A. Tsaftaris (Mach. Vis. Appl., 2016)

Leaf segmentation in plant phenotyping: a collation study. - Hanno Scharr; Massimo Minervini; Andrew P. French; Christian Klukas; David M. Kramer 001; Xiaoming Liu 002; Imanol Luengo; Jean-Michel Pape; Gerrit Polder; Danijela Vukadinovic; Xi Yin 001; Sotirios A. Tsaftaris (Mach. Vis. Appl., 2016)

Finely-grained annotated datasets for image-based plant phenotyping. - Massimo Minervini; Andreas Fischbach; Hanno Scharr; Sotirios A. Tsaftaris (Pattern Recognit. Lett., 2016)

Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. - Marco Bevilacqua; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2016)

Supporting Autonomic Management of Clouds: Service Clustering With Random Forest. - Rafael Brundo Uriarte; Francesco Tiezzi 001; Sotirios A. Tsaftaris (IEEE Trans. Netw. Serv. Manag., 2016)

Leveraging Multiple Datasets for Deep Leaf Counting. - Andrei Dobrescu; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (ICCV Workshops, 2017)

ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. - Mario Valerio Giuffrida; Hanno Scharr; Sotirios A. Tsaftaris (ICCV Workshops, 2017)

Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. - Hanno Scharr; Tony P. Pridmore; Sotirios A. Tsaftaris (ICCV Workshops, 2017)

Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. - Agisilaos Chartsias; Thomas Joyce; Rohan Dharmakumar; Sotirios A. Tsaftaris (SASHIMI@MICCAI, 2017)

Robust Multi-modal MR Image Synthesis. - Thomas Joyce; Agisilaos Chartsias; Sotirios A. Tsaftaris (MICCAI (3), 2017)

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. - Ilkay Öksüz; Rohan Dharmakumar; Sotirios A. Tsaftaris (STACOM@MICCAI, 2017)

Unsupervised Myocardial Segmentation for Cardiac BOLD. - Ilkay Öksüz; Anirban Mukhopadhyay 003; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2017)

Root Gap Correction with a Deep Inpainting Model. - Hao Chen 102; Mario Valerio Giuffrida; Sotirios A. Tsaftaris; Peter Doerner (BMVC, 2018)

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 (MICCAI (2), 2018)

Editorial for Special Issue on Reproducible Research. - Ömer Nezih Gerek; Boualem Boashash; Mikolaj Leszczuk; Sotirios A. Tsaftaris; Wes Armour; David Wallom (Digit. Signal Process., 2018)

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. - 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; et al. (IEEE J. Biomed. Health Informatics, 2018)

Multimodal MR Synthesis via Modality-Invariant Latent Representation. - Agisilaos Chartsias; Thomas Joyce; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2018)

Simulation and Synthesis in Medical Imaging. - Alejandro F. Frangi; Sotirios A. Tsaftaris; Jerry L. Prince (IEEE Trans. Medical Imaging, 2018)

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. - Matús Falis; Maciej Pajak; Aneta Lisowska; Patrick Schrempf; Lucas Deckers; Shadia Mikhael; Sotirios A. Tsaftaris; Alison O'Neil (LOUHI@EMNLP, 2019)

Adversarial Large-Scale Root Gap Inpainting. - Hao Chen 102; Mario Valerio Giuffrida; Peter Doerner; Sotirios A. Tsaftaris (CVPR Workshops, 2019)

Understanding Deep Neural Networks for Regression in Leaf Counting. - Andrei Dobrescu; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (CVPR Workshops, 2019)

Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. - Mario Valerio Giuffrida; Andrei Dobrescu; Peter Doerner; Sotirios A. Tsaftaris (CVPR Workshops, 2019)

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 (STACOM@MICCAI, 2019)

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. - Gabriele Valvano; Agisilaos Chartsias; Andrea Leo; Sotirios A. Tsaftaris (DART/MIL3ID@MICCAI, 2019)

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. - Chengjia Wang; Giorgos Papanastasiou; Sotirios A. Tsaftaris; Guang Yang 006; Calum D. Gray; David E. Newby; Gillian Macnaught; Tom J. MacGillivray (MLMIR@MICCAI, 2019)

Consistent Brain Ageing Synthesis. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (MICCAI (4), 2019)

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (MIDL, 2019)

Factorised Representation Learning in Cardiac Image Analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

FIRE: Unsupervised bi-directional inter-modality registration using deep networks. - Chengjia Wang; Giorgos Papanastasiou; Agisilaos Chartsias; Grzegorz Jacenkow; Sotirios A. Tsaftaris; Heye Zhang (CoRR, 2019)

Disentangle, align and fuse for multimodal and zero-shot image segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning. - Hao Chen 102; Mario Valerio Giuffrida; Peter Doerner; Sotirios A. Tsaftaris (CoRR, 2019)

Learning to synthesise the ageing brain without longitudinal data. - Tian Xia; Agisilaos Chartsias; Chengjia Wang; Sotirios A. Tsaftaris (CoRR, 2019)

Disentangled representation learning in cardiac image analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (Medical Image Anal., 2019)

The Generalized Complex Kernel Least-Mean-Square Algorithm. - Rafael Boloix-Tortosa; Juan José Murillo-Fuentes; Sotirios A. Tsaftaris (IEEE Trans. Signal Process., 2019)

Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. - Nikolaos Dionelis; Mehrdad Yaghoobi; Sotirios A. Tsaftaris (ICIP, 2020)

INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. - Grzegorz Jacenków; Alison Q. O'Neil; Brian Mohr; Sotirios A. Tsaftaris (MICCAI (4), 2020)

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 (DART/DCL@MICCAI, 2020)

Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. - Haochuan Jiang; Chengjia Wang; Agisilaos Chartsias; Sotirios A. Tsaftaris (MyoPS@MICCAI, 2020)

Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. - Xiao Liu 037; Sotirios A. Tsaftaris (MICCAI (1), 2020)

Disentangled Representations for Domain-Generalized Cardiac Segmentation. - Xiao Liu 037; Spyridon Thermos; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Teacher-Student chain for efficient semi-supervised histology image classification. - Shayne Shaw; Maciej Pajak; Aneta Lisowska; Sotirios A. Tsaftaris; Alison Q. O'Neil (CoRR, 2020)

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2020)

Metrics for Exposing the Biases of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (CoRR, 2020)

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (Medical Image Anal., 2020)

Unsupervised Rotation Factorization in Restricted Boltzmann Machines. - Mario Valerio Giuffrida; Sotirios A. Tsaftaris (IEEE Trans. Image Process., 2020)

AI in Medical Imaging Informatics: Current Challenges and Future Directions. - Andreas S. Panayides; Amir A. Amini; Nenad D. Filipovic; Ashish Sharma 001; Sotirios A. Tsaftaris; Alistair A. Young; David J. Foran; Nhan Do; Spyretta Golemati; Tahsin M. Kurç; Kun Huang 001; Konstantina S. Nikita; et al. (IEEE J. Biomed. Health Informatics, 2020)

Measuring the Biases and Effectiveness of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison Q. O'Neil; Sotirios A. Tsaftaris (BMVC, 2021)

Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. - Nikolaos Dionelis; Mehrdad Yaghoobi; Sotirios A. Tsaftaris (ICTAI, 2021)

How Should We Create Algorithms to Do More with Less? - Sotirios A. Tsaftaris (IMPROVE, 2021)

Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. - Xiao Liu 037; Spyridon Thermos; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (2), 2021)

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 (DART/FAIR@MICCAI, 2021)

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. - Spyridon Thermos; Xiao Liu 037; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (3), 2021)

Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Common Limitations of Image Processing Metrics: A Picture Story. - 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; et al. (CoRR, 2021)

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2021)

A Tutorial on Learning Disentangled Representations in the Imaging Domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2021)

Data management challenges for artificial intelligence in plant and agricultural research. - 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; et al. (F1000Research, 2021)

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou; Sotirios A. Tsaftaris; David E. Newby; Calum D. Gray; Gillian Macnaught; Tom J. MacGillivray (Inf. Fusion, 2021)

Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. - Mattia Litrico; Sebastiano Battiato; Sotirios A. Tsaftaris; Mario Valerio Giuffrida (J. Imaging, 2021)

Learning to synthesise the ageing brain without longitudinal data. - Tian Xia; Agisilaos Chartsias; Chengjia Wang; Sotirios A. Tsaftaris; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Diffusion Causal Models for Counterfactual Estimation. - Pedro Sanchez; Sotirios A. Tsaftaris (CLeaR, 2022)

CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. - Nikolaos Dionelis; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (ICPR, 2022)

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. - Grzegorz Jacenków; Alison Q. O'Neil; Sotirios A. Tsaftaris (ISBI, 2022)

Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. - Jana Fragemann; Xiao Liu 037; Jianning Li 002; Sotirios A. Tsaftaris; Jan Egger; Jens Kleesiek (MAD@MICCAI, 2022)

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 (AIIIMA/MIABID@MICCAI, 2022)

vMFNet: Compositionality Meets Domain-Generalised Segmentation. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MICCAI (8), 2022)

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MAD@MICCAI, 2022)

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. - Pedro Sanchez; Antanas Kascenas; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (DGM4MICCAI@MICCAI, 2022)

Why Patient Data Cannot Be Easily Forgotten? - Ruolin Su; Xiao Liu 037; Sotirios A. Tsaftaris (MICCAI (8), 2022)

FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. - Nikolaos Dionelis; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (ECML/PKDD (3), 2022)

Measuring Unintended Memorisation of Unique Private Features in Neural Networks. - John Hartley; Sotirios A. Tsaftaris (CoRR, 2022)

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. - Tian Xia; Pedro Sanchez; Chen Qin; Sotirios A. Tsaftaris (CoRR, 2022)

Unintended memorisation of unique features in neural networks. - John Hartley; Sotirios A. Tsaftaris (CoRR, 2022)

Causal Machine Learning for Healthcare and Precision Medicine. - Pedro Sanchez; Jeremy P. Voisey; Tian Xia; Hannah I. Watson; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. - Brennan Nichyporuk; Jillian Cardinell; Justin Szeto; Raghav Mehta; Jean-Pierre R. Falet; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. - Anjun Hu; Jean-Pierre R. Falet; Brennan S. Nichyporuk; Changjian Shui; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Learning disentangled representations in the imaging domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (Medical Image Anal., 2022)

Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. - Yuning Du; Yuyang Xue; Rohan Dharmakumar; Sotirios A. Tsaftaris (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Debiasing Counterfactuals in the Presence of Spurious Correlations. - Amar Kumar; Nima Fathi; Raghav Mehta; Brennan Nichyporuk; Jean-Pierre R. Falet; Sotirios A. Tsaftaris; Tal Arbel (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Adapting Vision Foundation Models for Plant Phenotyping. - Feng Chen; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (ICCV (Workshops), 2023)

Diffusion Models for Causal Discovery via Topological Ordering. - Pedro Sanchez; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (ICLR, 2023)

SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. - Nikolaos Dionelis; Richard Jackson; Sotirios A. Tsaftaris; Mehrdad Yaghoobi (IJCNN, 2023)

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. - Virginia Fernandez; Pedro Sanchez; Walter Hugo Lopez Pinaya; Grzegorz Jacenków; Sotirios A. Tsaftaris; M. Jorge Cardoso (DGM4MICCAI, 2023)

Compositional Representation Learning for Brain Tumour Segmentation. - Xiao Liu 037; Antanas Kascenas; Hannah Watson; Sotirios A. Tsaftaris; Alison Q. O'Neil (DART@MICCAI, 2023)

Group Distributionally Robust Knowledge Distillation. - Konstantinos Vilouras; Xiao Liu 037; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MLMI@MICCAI (2), 2023)

Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. - Yuyang Xue; Yuning Du; Gianluca Carloni; Eva Pachetti; Connor Jordan; Sotirios A. Tsaftaris (STACOM@MICCAI, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. - Virginia Fernandez; Pedro Sanchez; Walter Hugo Lopez Pinaya; Grzegorz Jacenków; Sotirios A. Tsaftaris; Jorge Jorge Cardoso (CoRR, 2023)

A Causal Ordering Prior for Unsupervised Representation Learning. - Avinash Kori; Pedro Sanchez; Konstantinos Vilouras; Ben Glocker; Sotirios A. Tsaftaris (CoRR, 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - 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 001; et al. (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

Survey: Leakage and Privacy at Inference Time. - Marija Jegorova; Chaitanya Kaul; Charlie Mayor; Alison Q. O'Neil; Alexander Weir; Roderick Murray-Smith; Sotirios A. Tsaftaris (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The role of noise in denoising models for anomaly detection in medical images. - 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 (Medical Image Anal., 2023)

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. - Raman Dutt; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (ICLR, 2024)

Inference Stage Denoising for Undersampled MRI Reconstruction. - Yuyang Xue; Chen Qin; Sotirios A. Tsaftaris (ISBI, 2024)

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 (FAIMI/EPIMI@MICCAI, 2024)

CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning. - Gianluca Carloni; Sotirios A. Tsaftaris; Sara Colantonio (UNSURE@MICCAI, 2024)

The MRI Scanner as a Diagnostic: Image-Less Active Sampling. - Yuning Du; Rohan Dharmakumar; Sotirios A. Tsaftaris (MICCAI (3), 2024)

BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. - Yuyang Xue; Junyu Yan; Raman Dutt; Fasih Haider; Jingshuai Liu; Steven McDonagh 001; Sotirios A. Tsaftaris (FAIMI/EPIMI@MICCAI, 2024)

There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis. - Christopher Boland; Keith A. Goatman; Sotirios A. Tsaftaris; Sonia Dahdouh (MIDL, 2024)

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. - Raman Dutt; Linus Ericsson; Pedro Sanchez; Sotirios A. Tsaftaris; Timothy M. Hospedales (MIDL, 2024)

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. - Yuyang Xue; Jingshuai Liu; Steven McDonagh 001; Sotirios A. Tsaftaris (MIDL, 2024)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (NeurIPS, 2024)

Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. - Eva Pachetti; Sotirios A. Tsaftaris; Sara Colantonio (CoRR, 2024)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Giorgos Papanastasiou; Sotirios A. Tsaftaris (CoRR, 2024)

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. - Konstantinos Vilouras; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2024)

MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. - Raman Dutt; Pedro Sanchez; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2024)

Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. - Jingshuai Liu; Alain Andres; Yonghang Jiang; Xichun Luo; Wenmiao Shu; Sotirios A. Tsaftaris (CoRR, 2024)

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. - Raman Dutt; Pedro Sanchez; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2024)

Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. - Zhihua Liu; Bin Yang; Yan Shen; Xuejun Ni; Sotirios A. Tsaftaris; Huiyu Zhou 001 (Medical Image Anal., 2024)

Compositionally Equivariant Representation Learning. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2024)

GMT: Guided Mask Transformer for Leaf Instance Segmentation. - Feng Chen; Sotirios A. Tsaftaris; Mario Valerio Giuffrida (WACV, 2025)

MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. - Raman Dutt; Ondrej Bohdal; Pedro Sanchez; Sotirios A. Tsaftaris; Timothy M. Hospedales (WACV, 2025)

Digital twin assisted surgery, concept, opportunities, and challenges. - Lisa Asciak; Justicia Kyeremeh; Xichun Luo; Asimina Kazakidi; Patricia Connolly; Frederic Picard; Kevin O'Neill; Sotirios A. Tsaftaris; Grant D. Stewart; Wenmiao Shu (npj Digit. Medicine, 2025)

Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. - 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; et al. (npj Digit. Medicine, 2025)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. - Yuyang Xue; Edward Moroshko; Feng Chen; Steven McDonagh 001; Sotirios A. Tsaftaris (CoRR, 2025)

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models. - Ilias Stogiannidis; Steven McDonagh 001; Sotirios A. Tsaftaris (CoRR, 2025)

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping. - Feng Chen; Ilias Stogiannidis; Andrew Wood; Danilo Bueno; Dominic Williams 004; Fraser Macfarlane; Bruce Grieve; Darren M. Wells; Jonathan A. Atkinson; Malcolm J. Hawkesford; Stephen A. Rolfe; Tracy Lawson; et al. (CoRR, 2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. - Jinghan Sun; Dong Wei 004; Zhe Xu; Donghuan Lu; Hong Liu; Hong Wang 021; Sotirios A. Tsaftaris; Steven McDonagh 001; Yefeng Zheng 001; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

Active Sampling for MRI-based Sequential Decision Making. - Yuning Du; Jingshuai Liu; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2025)

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. - Raman Dutt; Pedro Sanchez; Yongchen Yao; Steven McDonagh 001; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2025)

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models. - Konstantinos Vilouras; Ilias Stogiannidis; Junyu Yan; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2025)

Causally Steered Diffusion for Automated Video Counterfactual Generation. - Nikos Spyrou; Athanasios Vlontzos; Paraskevas Pegios; Thomas Melistas; Nefeli Gkouti; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (CoRR, 2025)