Sotirios A. Tsaftaris

According to our database, Sotirios A. Tsaftaris authored at least 153 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking Counterfactual Image Generation.

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris

CoRR, 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

Inference Stage Denoising for Undersampled MRI Reconstruction.

Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris

CoRR, 2024

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., December, 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., July, 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.

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

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

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, 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

CoRR, 2023

A Causal Ordering Prior for Unsupervised Representation Learning.

Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris

CoRR, 2023

Compositionally Equivariant Representation Learning.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

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

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

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

CoRR, 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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Group Distributionally Robust Knowledge Distillation.

Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Compositional Representation Learning for Brain Tumour Segmentation.

Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 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

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection.

Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi

Proceedings of the International Joint Conference on Neural Networks, 2023

Diffusion Models for Causal Discovery via Topological Ordering.

Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adapting Vision Foundation Models for Plant Phenotyping.

Feng Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction.

Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Learning disentangled representations in the imaging domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

Medical Image Anal., 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

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

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, 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

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

Unintended memorisation of unique 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

Measuring Unintended Memorisation of Unique Private Features in Neural Networks.

John Hartley, Sotirios A. Tsaftaris

CoRR, 2022

FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection.

Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Why Patient Data Cannot Be Easily Forgotten?

Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.

Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

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

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers.

Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition.

Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Diffusion Causal Models for Counterfactual Estimation.

Pedro Sanchez, Sotirios A. Tsaftaris

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

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

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, 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

IEEE Trans. Medical 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

Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap.

Mattia Litrico, Sebastiano Battiato, Sotirios A. Tsaftaris, Mario Valerio Giuffrida

J. Imaging, 2021

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.

Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray

Inf. Fusion, 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, Sotirios A. Tsaftaris, Sabina Leonelli

F1000Research, 2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2021

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

CoRR, 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, 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

CoRR, 2021

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

How Should We Create Algorithms to Do More with Less?

Sotirios A. Tsaftaris

Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining.

Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Measuring the Biases and Effectiveness of Content-Style Disentanglement.

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

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

AI in Medical Imaging Informatics: Current Challenges and Future Directions.

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

IEEE J. Biomed. Health Informatics, 2020

Unsupervised Rotation Factorization in Restricted Boltzmann Machines.

Mario Valerio Giuffrida, Sotirios A. Tsaftaris

IEEE Trans. Image Process., 2020

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning.

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

Medical Image Anal., 2020

Metrics for Exposing the Biases of Content-Style Disentanglement.

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

CoRR, 2020

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

CoRR, 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

Disentangled Representations for Domain-Generalized Cardiac Segmentation.

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data.

Xiao Liu, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 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

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary.

Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

The Generalized Complex Kernel Least-Mean-Square Algorithm.

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

IEEE Trans. Signal Process., 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

Learning to synthesise the ageing brain without longitudinal data.

Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris

CoRR, 2019

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

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

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

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

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

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization.

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Consistent Brain Ageing Synthesis.

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.

Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation.

Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Understanding Deep Neural Networks for Regression in Leaf Counting.

Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adversarial Large-Scale Root Gap Inpainting.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018

Simulation and Synthesis in Medical Imaging.

Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince

IEEE Trans. Medical Imaging, 2018

Multimodal MR Synthesis via Modality-Invariant Latent Representation.

Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 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, 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

IEEE J. Biomed. Health Informatics, 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Root Gap Correction with a Deep Inpainting Model.

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

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Unsupervised Myocardial Segmentation for Cardiac BOLD.

Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2017

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI.

Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Robust Multi-modal MR Image Synthesis.

Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data.

Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers.

Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.

Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Leveraging Multiple Datasets for Deep Leaf Counting.

Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Supporting Autonomic Management of Clouds: Service Clustering With Random Forest.

Rafael Brundo Uriarte, Francesco Tiezzi, Sotirios A. Tsaftaris

IEEE Trans. Netw. Serv. Manag., 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

Finely-grained annotated datasets for image-based plant phenotyping.

Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris

Pattern Recognit. Lett., 2016

Leaf segmentation in plant phenotyping: a collation study.

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

Mach. Vis. Appl., 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

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

Mario Valerio Giuffrida, Sotirios A. Tsaftaris

CoRR, 2016

Whole Image Synthesis Using a Deep Encoder-Decoder Network.

Vasileios Sevetlidis, Mario Valerio Giuffrida, Sotirios A. Tsaftaris

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters.

Mario Valerio Giuffrida, Sotirios A. Tsaftaris

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner].

Massimo Minervini, Hanno Scharr, Sotirios A. Tsaftaris

IEEE Signal Process. Mag., 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

Classification-aware distortion metric for HEVC intra coding.

Massimo Minervini, Sotirios A. Tsaftaris

Proceedings of the 2015 Visual Communications and Image Processing, 2015

Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.

Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Supervised Learning of Functional Maps for Infarct Classification.

Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Unsupervised Myocardial Segmentation for Cardiac MRI.

Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.

Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Service Clustering for Autonomic Clouds Using Random Forest.

Rafael Brundo Uriarte, Sotirios A. Tsaftaris, Francesco Tiezzi

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

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

Image-based plant phenotyping with incremental learning and active contours.

Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris

Ecol. Informatics, 2014

A Scientist's Guide to Cloud Computing.

Sotirios A. Tsaftaris

Comput. Sci. Eng., 2014

Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest.

Cristian Rusu, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Unsupervised and supervised approaches to color space transformation for image coding.

Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

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

Estimation of scribble placement for painting colorization.

Cristian Rusu, Sotirios A. Tsaftaris

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Learning computationally efficient approximations of complex image segmentation metrics.

Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Application-aware image compression for low cost and distributed plant phenotyping.

Massimo Minervini, Sotirios A. Tsaftaris

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Active contour model driven by Globally Signed Region Pressure Force.

Mohammed M. Abdelsamea, Sotirios A. Tsaftaris

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012

Mouse neuroimaging phenotyping in the cloud.

Massimo Minervini, Mario Damiano, Valter Tucci, Angelo Bifone, Alessandro Gozzi, Sotirios A. Tsaftaris

Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance.

Zhaofu Chen, Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the 20th European Signal Processing Conference, 2012

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

Colorizing a Masterpiece [Applications Corner].

Sotirios A. Tsaftaris, Kristin H. Lister, Inge Fiedler, Francesca Casadio, Aggelos K. Katsaggelos

IEEE Signal Process. Mag., 2011

Anomalous video event detection using spatiotemporal context.

Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Comput. Vis. Image Underst., 2011

Channel protection for H.264 compression in transportation video surveillance applications.

Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Tracking-optimized quantization for H.264 compression in transportation video surveillance applications.

Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Quantization optimized H.264 encoding for traffic video tracking applications.

Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the International Conference on Image Processing, 2010

Video anomaly detection in spatiotemporal context.

Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the International Conference on Image Processing, 2010

Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications.

Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the 17th IEEE International Conference on Electronics, 2010

Content-aware H.264 encoding for traffic video tracking applications.

Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Plant phenotyping with low cost digital cameras and image analytics.

Sotirios A. Tsaftaris, Christos Noutsos

Proceedings of the Information Technologies in Environmental Engineering, 2009

2008

Automated line flattening of Atomic Force Microscopy images.

Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos

Proceedings of the International Conference on Image Processing, 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

Proceedings of the International Conference on Image Processing, 2008

Local feature extraction for video copy detection in a database.

Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the International Conference on Image Processing, 2008

Restoration of the cantilever bowing distortion in Atomic Force Microscopy images.

Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

DNA Microarray Image Intensity Extraction using Eigenspots.

Sotirios A. Tsaftaris, Ramandeep Ahuja, Derek J. Shiell, Aggelos K. Katsaggelos

Proceedings of the International Conference on Image Processing, 2007

Retrieval accuracy of very large DNA-based databases of digital signals.

Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the 15th European Signal Processing Conference, 2007

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

DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases.

Sotirios A. Tsaftaris, Vassily Hatzimanikatis, Aggelos K. Katsaggelos

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

On Designing DNA Databases for the Storage and Retrieval of Digital Signals.

Sotirios A. Tsaftaris, Aggelos K. Katsaggelos

Proceedings of the Advances in Natural Computation, First International Conference, 2005

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

DNA computing from a signal processing viewpoint.

Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis

IEEE Signal Process. Mag., 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-based matching of digital signals.

Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002

Compressed-domain video watermarking of MPEG streams.

Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis

Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Fast MPEG watermarking for copyright protection.

Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis

Proceedings of the 2002 9th IEEE International Conference on Electronics, 2002

2001

Digital Watermarking Of Mpeg-1 And Mpeg-2 Multiplexed Streams For Copyright Protection.

Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis

Proceedings of the 2nd International Workshop on Digital and Computational Video (DCV 2001), 2001