Sotirios A. Tsaftaris

Orcid: 0000-0002-8795-9294

According to our database1, Sotirios A. Tsaftaris authored at least 163 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Compositionally Equivariant Representation Learning.
IEEE Trans. Medical Imaging, June, 2024

Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking.
Medical Image Anal., 2024

Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning.
CoRR, 2024

GMT: Guided Mask Transformer for Leaf Instance Segmentation.
CoRR, 2024

MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection.
CoRR, 2024

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction.
CoRR, 2024

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models.
CoRR, 2024

Benchmarking Counterfactual Image Generation.
CoRR, 2024

Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification.
CoRR, 2024

BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

The MRI Scanner as a Diagnostic: Image-Less Active Sampling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Inference Stage Denoising for Undersampled MRI Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Survey: Leakage and Privacy at Inference Time.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023

Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

A Causal Ordering Prior for Unsupervised Representation Learning.
CoRR, 2023

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models.
CoRR, 2023

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Group Distributionally Robust Knowledge Distillation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Compositional Representation Learning for Brain Tumour Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Diffusion Models for Causal Discovery via Topological Ordering.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adapting Vision Foundation Models for Plant Phenotyping.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Debiasing Counterfactuals in the Presence of Spurious Correlations.
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.
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.
Medical Image Anal., 2022

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors.
CoRR, 2022

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

Causal Machine Learning for Healthcare and Precision Medicine.
CoRR, 2022

Unintended memorisation of unique features in neural networks.
CoRR, 2022

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification.
CoRR, 2022

Measuring Unintended Memorisation of Unique Private Features in Neural Networks.
CoRR, 2022

FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Why Patient Data Cannot Be Easily Forgotten?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers.
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.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Diffusion Causal Models for Counterfactual Estimation.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.
IEEE Trans. Medical Imaging, 2021

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021

Learning to synthesise the ageing brain without longitudinal data.
Medical Image Anal., 2021

Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap.
J. Imaging, 2021

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Inf. Fusion, 2021

Data management challenges for artificial intelligence in plant and agricultural research.
F1000Research, 2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain.
CoRR, 2021

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
CoRR, 2021

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.
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.
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.
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.
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.
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?
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.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Measuring the Biases and Effectiveness of Content-Style Disentanglement.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
AI in Medical Imaging Informatics: Current Challenges and Future Directions.
IEEE J. Biomed. Health Informatics, 2020

Unsupervised Rotation Factorization in Restricted Boltzmann Machines.
IEEE Trans. Image Process., 2020

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning.
Medical Image Anal., 2020

Metrics for Exposing the Biases of Content-Style Disentanglement.
CoRR, 2020

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates.
CoRR, 2020

Teacher-Student chain for efficient semi-supervised histology image classification.
CoRR, 2020

Disentangled Representations for Domain-Generalized Cardiac Segmentation.
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.
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.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Semi-supervised Pathology Segmentation with Disentangled Representations.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
The Generalized Complex Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2019

Disentangled representation learning in cardiac image analysis.
Medical Image Anal., 2019

Learning to synthesise the ageing brain without longitudinal data.
CoRR, 2019

Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning.
CoRR, 2019

Disentangle, align and fuse for multimodal and zero-shot image segmentation.
CoRR, 2019

FIRE: Unsupervised bi-directional inter-modality registration using deep networks.
CoRR, 2019

Factorised Representation Learning in Cardiac Image Analysis.
CoRR, 2019

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Consistent Brain Ageing Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Understanding Deep Neural Networks for Regression in Leaf Counting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adversarial Large-Scale Root Gap Inpainting.
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.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Simulation and Synthesis in Medical Imaging.
IEEE Trans. Medical Imaging, 2018

Multimodal MR Synthesis via Modality-Invariant Latent Representation.
IEEE Trans. Medical Imaging, 2018

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018

Editorial for Special Issue on Reproducible Research.
Digit. Signal Process., 2018

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Root Gap Correction with a Deep Inpainting Model.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Unsupervised Myocardial Segmentation for Cardiac BOLD.
IEEE Trans. Medical Imaging, 2017

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Robust Multi-modal MR Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data.
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.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Leveraging Multiple Datasets for Deep Leaf Counting.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Supporting Autonomic Management of Clouds: Service Clustering With Random Forest.
IEEE Trans. Netw. Serv. Manag., 2016

Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest.
IEEE Trans. Medical Imaging, 2016

Finely-grained annotated datasets for image-based plant phenotyping.
Pattern Recognit. Lett., 2016

Leaf segmentation in plant phenotyping: a collation study.
Mach. Vis. Appl., 2016

Special issue on computer vision and image analysis in plant phenotyping.
Mach. Vis. Appl., 2016

Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations.
CoRR, 2016

Whole Image Synthesis Using a Deep Encoder-Decoder Network.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner].
IEEE Signal Process. Mag., 2015

Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies.
Int. J. High Perform. Comput. Appl., 2015

Classification-aware distortion metric for HEVC intra coding.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Supervised Learning of Functional Maps for Infarct Classification.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Unsupervised Myocardial Segmentation for Cardiac MRI.
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.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Service Clustering for Autonomic Clouds Using Random Forest.
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.
IEEE Trans. Medical Imaging, 2014

Image-based plant phenotyping with incremental learning and active contours.
Ecol. Informatics, 2014

A Scientist's Guide to Cloud Computing.
Comput. Sci. Eng., 2014

Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Unsupervised and supervised approaches to color space transformation for image coding.
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.
IEEE Trans. Intell. Transp. Syst., 2013

Estimation of scribble placement for painting colorization.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Learning computationally efficient approximations of complex image segmentation metrics.
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.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Active contour model driven by Globally Signed Region Pressure Force.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012
Mouse neuroimaging phenotyping in the cloud.
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.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance.
IEEE Trans. Circuits Syst. Video Technol., 2011

Colorizing a Masterpiece [Applications Corner].
IEEE Signal Process. Mag., 2011

Anomalous video event detection using spatiotemporal context.
Comput. Vis. Image Underst., 2011

Channel protection for H.264 compression in transportation video surveillance applications.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Tracking-optimized quantization for H.264 compression in transportation video surveillance applications.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Quantization optimized H.264 encoding for traffic video tracking applications.
Proceedings of the International Conference on Image Processing, 2010

Video anomaly detection in spatiotemporal context.
Proceedings of the International Conference on Image Processing, 2010

Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications.
Proceedings of the 17th IEEE International Conference on Electronics, 2010

Content-aware H.264 encoding for traffic video tracking applications.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Plant phenotyping with low cost digital cameras and image analytics.
Proceedings of the Information Technologies in Environmental Engineering, 2009

2008
Automated line flattening of Atomic Force Microscopy images.
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.
Proceedings of the International Conference on Image Processing, 2008

Local feature extraction for video copy detection in a database.
Proceedings of the International Conference on Image Processing, 2008

Restoration of the cantilever bowing distortion in Atomic Force Microscopy images.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
DNA Microarray Image Intensity Extraction using Eigenspots.
Proceedings of the International Conference on Image Processing, 2007

Retrieval accuracy of very large DNA-based databases of digital signals.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Joint source-channel coding for wireless object-based video communications utilizing data hiding.
IEEE Trans. Image Process., 2006

DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases.
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.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
How can DNA computing be applied to digital signal processing?
IEEE Signal Process. Mag., 2004

DNA computing from a signal processing viewpoint.
IEEE Signal Process. Mag., 2004

Fast Watermarking of MPEG-1/2 Streams Using Compressed-Domain Perceptual Embedding and a Generalized Correlator Detector.
EURASIP J. Adv. Signal Process., 2004

DNA-based matching of digital signals.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
Compressed-domain video watermarking of MPEG streams.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Fast MPEG watermarking for copyright protection.
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.
Proceedings of the 2nd International Workshop on Digital and Computational Video (DCV 2001), 2001


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