Sotirios Tsaftaris

PROF

Accepting PhD Students

PhD projects

machine learning in medical imaging
computer vision and invariant learning
transfer learning and multimodal learning
foundation models for health and science

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Conference contribution

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  • 2024

    FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

    Dutt, R., Bohdal, O., Tsaftaris, S. A. & Hospedales, T. M., 16 Jan 2024, (Accepted/In press) The Twelfth International Conference on Learning Representations. p. 1-24 24 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2023

    Group Distributionally Robust Knowledge Distillation

    Vilouras, K., Liu, X., Sanchez, P., O’Neil, A. Q. & Tsaftaris, S. A., 15 Oct 2023, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Compositional Representation Learning for Brain Tumour Segmentation

    Liu, X., Kascenas, A., Watson, H., Tsaftaris, S. A. & O’Neil, A. Q., 14 Oct 2023, Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Proceedings. Koch, L., Cardoso, M. J., Ferrante, E., Kamnitsas, K., Islam, M., Jiang, M., Rieke, N., Tsaftaris, S. A. & Yang, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 41-51 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14293 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Debiasing Counterfactuals in the Presence of Spurious Correlations

    Kumar, A., Fathi, N., Mehta, R., Nichyporuk, B., Falet, J. P. R., Tsaftaris, S. & Arbel, T., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 276-286 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Du, Y., Xue, Y., Dharmakumar, R. & Tsaftaris, S. A., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 102-111 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Dionelis, N., Jackson, R., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 23 Jun 2023, 2023 International Joint Conference on Neural Networks (IJCNN). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection

    Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 17 Mar 2023, (E-pub ahead of print) Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III. Springer, Vol. 13715. p. 137-153 (Lecture Notes in Computer Science; vol. 13715).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop

    Fragemann, J., Liu, X., Li, J., Tsaftaris, S. A., Egger, J. & Kleesiek, J., 1 Feb 2023, Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Fragemann, J., Li, J., Egger, J., Liu, X., Tsaftaris, S. A. & Kleesiek, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13823 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Liu, X., Thermos, S., Sanchez, P., O’Neil, A. Q. & Tsaftaris, S. A., 1 Feb 2023, Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Fragemann, J., Li, J., Egger, J., Liu, X., Tsaftaris, S. A. & Kleesiek, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 15-21 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13823 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2022

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

    Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 29 Nov 2022, (E-pub ahead of print) 2022 26th International Conference on Pattern Recognition (ICPR). IEEE Xplore, p. 1792-1799 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers

    Kumar, A., Hu, A., Nichyporuk, B., Falet, J. P. R., Arnold, D. L., Tsaftaris, S. & Arbel, T., 20 Nov 2022, Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - 1st MICCAI Workshop, AIIIMA 2022, and 1st MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Proceedings. Kakileti, S. T., Manjunath, G., Gabrani, M., Rosen-Zvi, M., Braman, N., Schwartz, R. G., Frangi, A. F., Chung, P-C., Weight, C. & Jagadish, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 113-124 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13602 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • What is Healthy? Generative Counterfactual Diffusion for Lesion Localization

    Sanchez, P., Kascenas, A., Liu, X., O’Neil, A. Q. & Tsaftaris, S. A., 8 Oct 2022, Deep Generative Models - 2nd MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-44 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13609 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • OMASGAN: Out-of-distribution Minimum Anomaly Score GAN for Anomaly Detection

    Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 23 Sept 2022, (E-pub ahead of print) 2022 Sensor Signal Processing for Defence Conference (SSPD). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • vMFNet: Compositionality Meets Domain-generalised Segmentation

    Liu, X., Thermos, S., Sanchez, P., O’Neil, A. & Tsaftaris, S. A., 17 Sept 2022, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII. Springer, Vol. 13437. p. 704–714 (Lecture Notes in Computer Science; vol. 13437).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Why patient data cannot be easily forgotten?

    Su, R., Liu, X. & Tsaftaris, S. A., 16 Sept 2022, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII. Springer, Vol. 13438. p. 632–641 11 p. (Lecture Notes in Computer Science; vol. 13438).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers

    Jacenków, G., O'Neil, A. & Tsaftaris, S. A., 26 Apr 2022, (E-pub ahead of print) 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE Xplore, (International Symposium on Biomedical Imaging Proceedings; vol. 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2021

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

    Dionelis, N., Yaghoobi Vaighan, M. & Tsaftaris, S. A., 21 Dec 2021, (E-pub ahead of print) 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, p. 8

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Measuring the Biases and Effectiveness of Content-Style Disentanglement

    Liu, X., Thermos, S., Valvano, G., Chartsias, A., O'Neil, A. & Tsaftaris, S. A., 25 Nov 2021, The 32nd British Machine Vision Conference (BMVC). BMVA Press

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

    Nichyporuk, B., Cardinell, J., Szeto, J., Mehta, R., Tsaftaris, S., Arnold, D. L. & Arbel, T., 21 Sept 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - 3rd MICCAI Workshop, DART 2021, and 1st MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 101-111 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Valvano, G., Leo, A. & Tsaftaris, S. A., 21 Sept 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: 3rd MICCAI Workshop, DART 2021, and 1st MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 14-24 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

    Liu, X., Thermos, S., O'Neil, A. & Tsaftaris, S. A., 21 Sept 2021, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II. Springer, Vol. 12902. p. 307-317 (Lecture Notes in Computer Science; vol. 12902).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training

    Valvano, G., Leo, A. & Tsaftaris, S. A., 21 Sept 2021, 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. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 68-78 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Disentangled Representations for Domain-generalized Cardiac Segmentation

    Liu, X., Thermos, S., Chartsias, A., O'Neil, A. & Tsaftaris, S., 29 Jan 2021, (E-pub ahead of print) STACOM: International Workshop on Statistical Atlases and Computational Models of the Heart: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges. Springer, p. 187-195 (Lecture Notes in Computer Science; vol. 12592).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2020

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

    Jiang, H., Wang, C., Chartsias, A. & Tsaftaris, S., 21 Dec 2020, (E-pub ahead of print) MyoPS: Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge: Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. Springer, p. 68-81 (Lecture Notes in Computer Science ; vol. 12554).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    File
  • Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation

    Dionelis, N., Yaghoobi Vaighan, M. & Tsaftaris, S., 30 Nov 2020, 2020 Sensor Signal Processing for Defence Conference (SSPD). IEEE Xplore, p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary

    Dionelis, N., Yaghoobi, M. & Tsaftaris, S. A., 30 Sept 2020, 2020 IEEE International Conference on Image Processing (ICIP). IEEE, p. 803-807 5 p. 9191341

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Semi-supervised Pathology Segmentation with Disentangled Representations

    Jiang, H., Chartsias, A., Zhang, X., Papanastasiou, G., Semple, S., Dweck, M., Semple, D., Dharmakumar, R. & Tsaftaris, S., 26 Sept 2020, (E-pub ahead of print) DART: MICCAI Workshop on Domain Adaptation and Representation Transfer : Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer, p. 62-72 (Lecture Notes in Computer Science; vol. 12444).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2019

    Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text

    Falis, M., Pajak, M., Lisowska, A., Schrempf, P., Deckers, L., Mikhael, S., Tsaftaris, S. & O'Neil, A., 1 Nov 2019, Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019). Hong Kong: Association for Computational Linguistics, p. 168-177 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Consistent Brain Ageing Synthesis

    Alzheimers Disease Neuroimaging Initiative, 13 Oct 2019, Medical Image Computing and Computer Assisted Intervention -MICCAI 2019: 22nd International Conference, Shenzhen, China 13-17 October 2019. Springer, (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

    Valvano, G., Chartsias, A., Leo, A. & Tsaftaris, S. A., 13 Oct 2019, (E-pub ahead of print) Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Springer, Vol. 11795.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Multimodal cardiac segmentation using disentangled representations

    Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S., 9 Aug 2019, (Accepted/In press) STACOM: Statistical Atlases and Computational Models of the Heart.. Springer

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization

    Xia, T., Chartsias, A. & Tsaftaris, S., 10 Jul 2019, Proceedings of Machine Learning Research: Medical Imaging Deep Learning. Vol. 102.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Adversarial Large-Scale Root Gap Inpainting

    Chen, H., Valerio Giuffrida, M., Doerner, P. & Tsaftaris, S. A., 20 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Computer Vision Foundation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation

    Valerio Giuffrida, M., Dobrescu, A., Doerner, P. & Tsaftaris, S. A., 20 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Computer Vision Foundation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Understanding Deep Neural Networks for Regression in Leaf Counting

    Dobrescu, A., Valerio Giuffrida, M. & Tsaftaris, S. A., 1 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Computer Vision Foundation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2018

    Deep Multi-Class Segmentation Without Ground-Truth Labels

    Joyce, T., Chartsias, A. & Tsaftaris, S., Jul 2018, Medical Imaging with Deep Learning: Amsterdam. Amsterdam

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Joint myocardial registration and segmentation of cardiac BOLD MRI

    Oksuz, I., Dharmakumar, R. & Tsaftaris, S. A., 15 Mar 2018, Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Springer-Verlag, p. 12-20 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10663 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Leveraging multiple datasets for deep leaf counting

    Dobrescu, A., Giuffrida, M. V. & Tsaftaris, S., 23 Jan 2018, (E-pub ahead of print) International Conference on Computer Vision: Computer Vision Problems in Plant Phenotyping (workshop). Institute of Electrical and Electronics Engineers (IEEE), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2017

    Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data

    Chartsias, A., Joyce, T., Dharmakumar, R. & Tsaftaris, S. A., 26 Sept 2017, 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. Tsaftaris, S., Gooya, A., Frangi, A. & Prince, J. (eds.). 1 ed. Springer International Publishing, Vol. 10557. p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10557 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Robust Multi-Modal MR Image Synthesis

    Joyce, T., Chartsias, A. & Tsaftaris, S., 4 Sept 2017, Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Springer-Verlag, p. 347-355 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

    Giuffrida, M. V., Scharr, H. & Tsaftaris, S., 2017, (Accepted/In press) International Conference on Computer Vision: Computer Vision Problems in Plant Phenotyping Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2016

    Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters

    Tsaftaris, S. & Giuffrida, M. V., 6 Sept 2016, Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Springer International Publishing, (Theoretical Computer Science and General Issues).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Whole Image Synthesis using a Deep Encoder-Decoder Network

    Sevetlidis, V., Giuffrida, M. V. & Tsaftaris, S., 10 Aug 2016, Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Springer International Publishing

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Classification-aware distortion metric for HEVC intra coding

    Minervini, M. & Tsaftaris, S. A., 25 Apr 2016, 2015 Visual Communications and Image Processing, VCIP 2015. Institute of Electrical and Electronics Engineers Inc., 7457877

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Supervised learning of functional maps for infarct classification

    Mukhopadhyay, A., Oksuz, I. & Tsaftaris, S. A., 9 Jan 2016, (E-pub ahead of print) Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer-Verlag, p. 162-170 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9534).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2015

    An interactive tool for semi-automated leaf annotation

    Minervini, M., Giuffrida, M. V. & Tsaftaris, S., 1 Sept 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 6.1-6.13

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to Count Leaves in Rosette Plants

    Giuffrida, M. V., Minervini, M. & Tsaftaris, S., 1 Sept 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 1.1-1.13

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Service clustering for autonomic clouds using random forest

    Uriarte, R. B., Tsaftaris, S. & Tiezzi, F., 7 Jul 2015, Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. Institute of Electrical and Electronics Engineers Inc., p. 515-524 10 p. 7152517

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    File
  • Unsupervised and supervised approaches to color space transformation for image coding

    Minervini, M., Rusu, C. & Tsaftaris, S. A., 28 Jan 2015, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 5576-5580 5 p. 7026128

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

    Mukhopadhyay, A., Oksuz, I., Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, FUNCTIONAL IMAGING AND MODELING OF THE HEART (FIMH 2015). VanAssen, H., Bovendeerd, P. & Delhaas, T. (eds.). Springer-Verlag Berlin Heidelberg, p. 189-197 9 p. (Lecture Notes in Computer Science; vol. 9126).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    File