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ORCIDSotirios A. Tsaftaris
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2020 – today
- 2023
[i48]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)- 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) - [c73]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CLeaR 2022: 647-668 - [c72]Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi:
CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR 2022: 1792-1799 - [c71]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 - [c70]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 - [c69]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 - [c68]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) 2022: 632-641 - [c67]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) 2022: 704-714 - [e4]Konstantinos Kamnitsas, Lisa 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] - [i47]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) - [i46]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) - [i45]John Hartley, Sotirios A. Tsaftaris:
Measuring Unintended Memorisation of Unique Private Features in Neural Networks. CoRR abs/2202.08099 (2022) - [i44]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CoRR abs/2202.10166 (2022) - [i43]Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris:
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR abs/2203.07815 (2022) - [i42]John Hartley, Sotirios A. Tsaftaris:
Unintended memorisation of unique features in neural networks. CoRR abs/2205.10079 (2022) - [i41]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) - [i40]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) - [i39]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR abs/2206.14538 (2022) - [i38]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why patient data cannot be easily forgotten? CoRR abs/2206.14541 (2022) - [i37]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) - [i36]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) - [i35]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) - [i34]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. CoRR abs/2210.06201 (2022) - [i33]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) - [i32]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. 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] - [i31]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) - [i30]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) - [i29]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) - [i28]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR abs/2107.01748 (2021) - [i27]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) - [i26]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR abs/2108.11900 (2021) - [i25]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR abs/2108.11926 (2021) - [i24]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) - [i23]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR abs/2108.12280 (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]