default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSotirios A. Tsaftaris
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j40]Zhihua Liu, Bin Yang
, Yan Shen, Xuejun Ni, Sotirios A. Tsaftaris, Huiyu Zhou:
Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Anal. 94: 103138 (2024)- [j39]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43(6): 2169-2179 (2024) - [c91]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR 2024 - [c90]Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris:
Inference Stage Denoising for Undersampled MRI Reconstruction. ISBI 2024: 1-5 - [c89]Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh:
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 67-77 - [c88]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. FAIMI/EPIMI@MICCAI 2024: 98-108 - [c87]Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio:
CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning. UNSURE@MICCAI 2024: 105-116 - [c86]Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris:
The MRI Scanner as a Diagnostic: Image-Less Active Sampling. MICCAI (3) 2024: 467-476 - [e6]Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang:
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14293, Springer 2024, ISBN 978-3-031-45856-9 [contents] - [i72]Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris:
Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR abs/2402.08692 (2024) - [i71]Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio:
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. CoRR abs/2403.17530 (2024) - [i70]Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris:
Benchmarking Counterfactual Image Generation. CoRR abs/2403.20287 (2024) - [i69]Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR abs/2404.12920 (2024) - [i68]Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR abs/2405.15517 (2024) - [i67]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR abs/2405.19458 (2024) - [i66]Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris:
The MRI Scanner as a Diagnostic: Image-less Active Sampling. CoRR abs/2406.16754 (2024) - [i65]Feng Chen, Sotirios A. Tsaftaris, Mario Valerio Giuffrida:
GMT: Guided Mask Transformer for Leaf Instance Segmentation. CoRR abs/2406.17109 (2024) - [i64]Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio:
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning. CoRR abs/2408.04949 (2024) - [i63]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning. CoRR abs/2408.06890 (2024) - [i62]Jingshuai Liu, Alain Andres, Yonghang Jiang, Xichun Luo, Wenmiao Shu, Sotirios A. Tsaftaris:
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning. CoRR abs/2409.02724 (2024) - 2023
- [j38]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:
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j37]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:
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [j36]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9090-9108 (2023) - [c85]Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CLIP/FAIMI/EPIMI@MICCAI 2023: 102-111 - [c84]Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel:
Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI 2023: 276-286 - [c83]Feng Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Adapting Vision Foundation Models for Plant Phenotyping. ICCV (Workshops) 2023: 604-613 - [c82]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. ICLR 2023 - [c81]Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN 2023: 1-8 - [c80]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI 2023: 3-13 - [c79]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI 2023: 41-51 - [c78]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) 2023: 234-242 - [c77]Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris:
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. STACOM@MICCAI 2023: 421-432 - [e5]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - [i61]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:
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - [i60]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i59]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR abs/2305.08252 (2023) - [i58]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR abs/2306.01322 (2023) - [i57]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. CoRR abs/2306.07783 (2023) - [i56]Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris:
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR abs/2307.05704 (2023) - [i55]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i54]Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel:
Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR abs/2308.10984 (2023) - [i53]Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris:
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. CoRR abs/2309.13385 (2023) - [i52]Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CoRR abs/2309.14392 (2023) - [i51]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR abs/2310.05055 (2023) - [i50]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. CoRR abs/2310.06562 (2023) - [i49]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. CoRR abs/2311.00476 (2023) - 2022
- [j35]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Learning disentangled representations in the imaging domain. Medical Image Anal. 80: 102516 (2022) - [c76]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CLeaR 2022: 647-668 - [c75]Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR 2022: 1792-1799 - [c74]Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI 2022: 1-5 - [c73]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c72]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI 2022: 15-21 - [c71]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI 2022: 34-44 - [c70]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI 2022: 113-124 - [c69]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) 2022: 632-641 - [c68]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) 2022: 704-714 - [c67]Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) 2022: 137-153 - [e4]Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris:
Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13542, Springer 2022, ISBN 978-3-031-16851-2 [contents] - [i48]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:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - [i47]Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR abs/2202.06076 (2022) - [i46]John Hartley, Sotirios A. Tsaftaris:
Measuring Unintended Memorisation of Unique Private Features in Neural Networks. CoRR abs/2202.08099 (2022) - [i45]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CoRR abs/2202.10166 (2022) - [i44]Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris:
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR abs/2203.07815 (2022) - [i43]John Hartley, Sotirios A. Tsaftaris:
Unintended memorisation of unique features in neural networks. CoRR abs/2205.10079 (2022) - [i42]Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Causal Machine Learning for Healthcare and Precision Medicine. CoRR abs/2205.11402 (2022) - [i41]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:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i40]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR abs/2206.14538 (2022) - [i39]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why patient data cannot be easily forgotten? CoRR abs/2206.14541 (2022) - [i38]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR abs/2207.12268 (2022) - [i37]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR abs/2208.02311 (2022) - [i36]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR abs/2208.03563 (2022) - [i35]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. CoRR abs/2210.06201 (2022) - [i34]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR abs/2210.17398 (2022) - [i33]Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR abs/2211.07820 (2022) - 2021
- [j34]Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray:
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion 67: 147-160 (2021) - [j33]Mattia Litrico, Sebastiano Battiato, Sotirios A. Tsaftaris, Mario Valerio Giuffrida:
Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. J. Imaging 7(10): 198 (2021) - [j32]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative:
Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. 73: 102169 (2021) - [j31]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging 40(3): 781-792 (2021) - [j30]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging 40(8): 1990-2001 (2021) - [j29]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:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c66]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC 2021: 124 - [c65]Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI 2021: 528-535 - [c64]Sotirios A. Tsaftaris:
How Should We Create Algorithms to Do More with Less? IMPROVE 2021: 11 - [c63]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI 2021: 14-24 - [c62]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI 2021: 68-78 - [c61]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel:
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI 2021: 101-111 - [c60]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) 2021: 160-170 - [c59]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) 2021: 307-317 - [e3]Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12968, Springer 2021, ISBN 978-3-030-87721-7 [contents] - [i32]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:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i31]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR abs/2106.13292 (2021) - [i30]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. CoRR abs/2107.01614 (2021) - [i29]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR abs/2107.01748 (2021) - [i28]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel:
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR abs/2108.00713 (2021) - [i27]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR abs/2108.11900 (2021) - [i26]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR abs/2108.11926 (2021) - [i25]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR abs/2108.12043 (2021) - [i24]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR abs/2108.12280 (2021) - [i23]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:
Data management challenges for artificial intelligence in plant and agricultural research. F1000Research 10: 324 (2021) - 2020
- [j28]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Anal. 64: 101719 (2020) - [j27]Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Unsupervised Rotation Factorization in Restricted Boltzmann Machines. IEEE Trans. Image Process. 29: 2166-2175 (2020) - [j26]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:
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24(7): 1837-1857 (2020) - [c58]Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP 2020: 803-807 - [c57]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI 2020: 62-72 - [c56]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI 2020: 68-81 - [c55]Xiao Liu, Sotirios A. Tsaftaris:
Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. MICCAI (1) 2020: 95-105 - [c54]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 187-195 - [c53]Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris:
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) 2020: 385-395 - [i22]Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Teacher-Student chain for efficient semi-supervised histology image classification. CoRR abs/2003.08797 (2020) - [i21]Xiao Liu, Sotirios A. Tsaftaris:
Have you forgotten? A method to assess if machine learning models have forgotten data. CoRR abs/2004.10129 (2020) - [i20]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. CoRR abs/2005.01607 (2020) - [i19]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR abs/2007.01152 (2020) - [i18]Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris:
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR abs/2008.10418 (2020) - [i17]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR abs/2008.11514 (2020) - [i16]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR abs/2008.12378 (2020) - [i15]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR abs/2009.02564 (2020) - [i14]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR abs/2009.02569 (2020)
2010 – 2019
- 2019
- [j25]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangled representation learning in cardiac image analysis. Medical Image Anal. 58 (2019) - [j24]Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris:
The Generalized Complex Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 67(20): 5213-5222 (2019) - [c52]Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil:
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. LOUHI@EMNLP 2019: 168-177 - [c51]Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris:
Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. CVPR Workshops 2019: 2590-2599 - [c50]Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Understanding Deep Neural Networks for Regression in Leaf Counting. CVPR Workshops 2019: 2600-2608 - [c49]Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris:
Adversarial Large-Scale Root Gap Inpainting. CVPR Workshops 2019: 2619-2628 - [c48]Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI 2019: 11-19 - [c47]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI 2019: 128-137 - [c46]Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray:
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI 2019: 245-254 - [c45]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Consistent Brain Ageing Synthesis. MICCAI (4) 2019: 750-758 - [c44]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. MIDL 2019: 512-526 - [i13]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. CoRR abs/1901.07295 (2019) - [i12]Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris:
The Generalized Complex Kernel Least-Mean-Square Algorithm. CoRR abs/1902.08692 (2019) - [i11]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised Representation Learning in Cardiac Image Analysis. CoRR abs/1903.09467 (2019) - [i10]Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang:
FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR abs/1907.05062 (2019) - [i9]Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR abs/1908.11330 (2019) - [i8]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR abs/1911.04417 (2019) - [i7]Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris:
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning. CoRR abs/1912.02470 (2019) - [i6]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris:
Learning to synthesise the ageing brain without longitudinal data. CoRR abs/1912.02620 (2019) - 2018
- [j23]Ömer Nezih Gerek, Boualem Boashash, Mikolaj Leszczuk, Sotirios A. Tsaftaris, Wes Armour, David Wallom:
Editorial for Special Issue on Reproducible Research. Digit. Signal Process. 77: 1-4 (2018) - [j22]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:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j21]Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging. IEEE Trans. Medical Imaging 37(3): 673-679 (2018) - [j20]Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Multimodal MR Synthesis via Modality-Invariant Latent Representation. IEEE Trans. Medical Imaging 37(3): 803-814 (2018) - [c43]Hao Chen, Mario Valerio Giuffrida, Sotirios A. Tsaftaris, Peter Doerner:
Root Gap Correction with a Deep Inpainting Model. BMVC 2018: 325 - [c42]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) 2018: 490-498 - [i5]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR abs/1803.07031 (2018) - 2017
- [j19]Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36(11): 2228-2238 (2017) - [c41]Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris:
Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. ICCV Workshops 2017: 2020-2021 - [c40]Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris:
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. ICCV Workshops 2017: 2064-2071 - [c39]Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Leveraging Multiple Datasets for Deep Leaf Counting. ICCV Workshops 2017: 2072-2079 - [c38]Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. SASHIMI@MICCAI 2017: 3-13 - [c37]Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. STACOM@MICCAI 2017: 12-20 - [c36]Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Robust Multi-modal MR Image Synthesis. MICCAI (3) 2017: 347-355 - [e2]Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging - Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings. Lecture Notes in Computer Science 10557, Springer 2017, ISBN 978-3-319-68126-9 [contents] - [i4]Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris:
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network. CoRR abs/1709.00938 (2017) - [i3]Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Leveraging multiple datasets for deep leaf counting. CoRR abs/1709.01472 (2017) - 2016
- [j18]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:
Leaf segmentation in plant phenotyping: a collation study. Mach. Vis. Appl. 27(4): 585-606 (2016) - [j17]Hanno Scharr, Hannah Dee, Andrew P. French, Sotirios A. Tsaftaris:
Special issue on computer vision and image analysis in plant phenotyping. Mach. Vis. Appl. 27(5): 607-609 (2016) - [j16]Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris:
Finely-grained annotated datasets for image-based plant phenotyping. Pattern Recognit. Lett. 81: 80-89 (2016) - [j15]Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. IEEE Trans. Medical Imaging 35(1): 282-293 (2016) - [j14]Rafael Brundo Uriarte, Francesco Tiezzi, Sotirios A. Tsaftaris:
Supporting Autonomic Management of Clouds: Service Clustering With Random Forest. IEEE Trans. Netw. Serv. Manag. 13(3): 595-607 (2016) - [c35]Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters. ICANN (2) 2016: 480-488 - [c34]Vasileios Sevetlidis, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Whole Image Synthesis Using a Deep Encoder-Decoder Network. SASHIMI@MICCAI 2016: 127-137 - [e1]Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince:
Simulation and Synthesis in Medical Imaging - First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 9968, 2016, ISBN 978-3-319-46629-3 [contents] - [i2]Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Rotation-Invariant Restricted Boltzmann Machine using shared gradient filters. CoRR abs/1604.07045 (2016) - [i1]Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations. CoRR abs/1606.08805 (2016) - 2015
- [j13]Massimo Minervini, Cristian Rusu, Mario Damiano, Valter Tucci, Angelo Bifone, Alessandro Gozzi, Sotirios A. Tsaftaris:
Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies. Int. J. High Perform. Comput. Appl. 29(4): 473-488 (2015) - [j12]Massimo Minervini, Hanno Scharr, Sotirios A. Tsaftaris:
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. IEEE Signal Process. Mag. 32(4): 126-131 (2015) - [c33]Rafael Brundo Uriarte, Sotirios A. Tsaftaris, Francesco Tiezzi:
Service Clustering for Autonomic Clouds Using Random Forest. CCGRID 2015: 515-524 - [c32]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH 2015: 189-197 - [c31]Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) 2015: 12-20 - [c30]Anirban Mukhopadhyay, Ilkay Öksüz, Sotirios A. Tsaftaris:
Supervised Learning of Functional Maps for Infarct Classification. STACOM@MICCAI 2015: 162-170 - [c29]Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) 2015: 205-213 - [c28]Massimo Minervini, Sotirios A. Tsaftaris:
Classification-aware distortion metric for HEVC intra coding. VCIP 2015: 1-4 - 2014
- [j11]Sotirios A. Tsaftaris:
A Scientist's Guide to Cloud Computing. Comput. Sci. Eng. 16(1): 70-76 (2014) - [j10]Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris:
Image-based plant phenotyping with incremental learning and active contours. Ecol. Informatics 23: 35-48 (2014) - [j9]Cristian Rusu, Rita Morisi, Davide Boschetto, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling. IEEE Trans. Medical Imaging 33(7): 1422-1433 (2014) - [c27]Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris:
Unsupervised and supervised approaches to color space transformation for image coding. ICIP 2014: 5576-5580 - [c26]Cristian Rusu, Sotirios A. Tsaftaris:
Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest. MICCAI (2) 2014: 562-569 - 2013
- [j8]Zhaofu Chen, Sotirios A. Tsaftaris, Eren Soyak, Aggelos K. Katsaggelos:
Application-Aware Approach to Compression and Transmission of H.264 Encoded Video for Automated and Centralized Transportation Surveillance. IEEE Trans. Intell. Transp. Syst. 14(4): 2002-2007 (2013) - [c25]Mohammed M. Abdelsamea, Sotirios A. Tsaftaris:
Active contour model driven by Globally Signed Region Pressure Force. DSP 2013: 1-6 - [c24]Massimo Minervini, Sotirios A. Tsaftaris:
Application-aware image compression for low cost and distributed plant phenotyping. DSP 2013: 1-6 - [c23]Massimo Minervini, Cristian Rusu, Sotirios A. Tsaftaris:
Learning computationally efficient approximations of complex image segmentation metrics. ISPA 2013: 60-65 - [c22]Cristian Rusu, Sotirios A. Tsaftaris:
Estimation of scribble placement for painting colorization. ISPA 2013: 564-569 - 2012
- [c21]Zhaofu Chen, Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance. EUSIPCO 2012: 1900-1904 - [c20]Massimo Minervini, Mario Damiano, Valter Tucci, Angelo Bifone, Alessandro Gozzi, Sotirios A. Tsaftaris:
Mouse neuroimaging phenotyping in the cloud. IPTA 2012: 55-60 - 2011
- [j7]Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Anomalous video event detection using spatiotemporal context. Comput. Vis. Image Underst. 115(3): 323-333 (2011) - [j6]Sotirios A. Tsaftaris, Kristin H. Lister, Inge Fiedler, Francesca Casadio, Aggelos K. Katsaggelos:
Colorizing a Masterpiece [Applications Corner]. IEEE Signal Process. Mag. 28(3): 113-119 (2011) - [j5]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance. IEEE Trans. Circuits Syst. Video Technol. 21(10): 1378-1389 (2011) - [c19]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Tracking-optimized quantization for H.264 compression in transportation video surveillance applications. ICIP 2011: 153-156 - [c18]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Channel protection for H.264 compression in transportation video surveillance applications. ICIP 2011: 2237-2240 - 2010
- [c17]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Content-aware H.264 encoding for traffic video tracking applications. ICASSP 2010: 730-733 - [c16]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications. ICECS 2010: 375-378 - [c15]Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Video anomaly detection in spatiotemporal context. ICIP 2010: 705-708 - [c14]Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Quantization optimized H.264 encoding for traffic video tracking applications. ICIP 2010: 1241-1244
2000 – 2009
- 2009
- [c13]Sotirios A. Tsaftaris, Christos Noutsos:
Plant phenotyping with low cost digital cameras and image analytics. ITEE 2009: 238-251 - 2008
- [c12]Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos:
Restoration of the cantilever bowing distortion in Atomic Force Microscopy images. EUSIPCO 2008: 1-5 - [c11]Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Local feature extraction for video copy detection in a database. ICIP 2008: 1716-1719 - [c10]Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Katsaggelos:
Automated line flattening of Atomic Force Microscopy images. ICIP 2008: 2968-2971 - [c9]Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar:
A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. ICIP 2008: 2980-2983 - 2007
- [c8]Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Retrieval accuracy of very large DNA-based databases of digital signals. EUSIPCO 2007: 1561-1565 - [c7]Sotirios A. Tsaftaris, Ramandeep Ahuja, Derek J. Shiell, Aggelos K. Katsaggelos:
DNA Microarray Image Intensity Extraction using Eigenspots. ICIP (6) 2007: 265-268 - 2006
- [j4]Haohong Wang, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
Joint source-channel coding for wireless object-based video communications utilizing data hiding. IEEE Trans. Image Process. 15(8): 2158-2169 (2006) - [c6]Sotirios A. Tsaftaris, Vassily Hatzimanikatis, Aggelos K. Katsaggelos:
DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases. ICASSP (2) 2006: 1084-1087 - 2005
- [c5]Sotirios A. Tsaftaris, Aggelos K. Katsaggelos:
On Designing DNA Databases for the Storage and Retrieval of Digital Signals. ICNC (2) 2005: 1192-1201 - 2004
- [j3]Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Alexia Briassouli, Michael G. Strintzis:
Fast Watermarking of MPEG-1/2 Streams Using Compressed-Domain Perceptual Embedding and a Generalized Correlator Detector. EURASIP J. Adv. Signal Process. 2004(8): 1088-1106 (2004) - [j2]Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis:
DNA computing from a signal processing viewpoint. IEEE Signal Process. Mag. 21(5): 100-106 (2004) - [j1]Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis:
How can DNA computing be applied to digital signal processing? IEEE Signal Process. Mag. 21(6): 57-61 (2004) - [c4]Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Eleftherios T. Papoutsakis:
DNA-based matching of digital signals. ICASSP (5) 2004: 581-584 - 2002
- [c3]Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis:
Fast MPEG watermarking for copyright protection. ICECS 2002: 1027-1030 - [c2]Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis:
Compressed-domain video watermarking of MPEG streams. ICME (1) 2002: 569-572 - 2001
- [c1]Dimitrios Simitopoulos, Sotirios A. Tsaftaris, Nikolaos V. Boulgouris, Michael G. Strintzis:
Digital Watermarking Of Mpeg-1 And Mpeg-2 Multiplexed Streams For Copyright Protection. Workshop on Digital and Computational Video 2001: 140-147
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-04 20:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
