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ORCIDSotirios A. Tsaftaris
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2020 – today
- 2021
[j32]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)- [j31]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) - [j30]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) - [j29]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) - [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]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]