| Procedural modeling and physically based rendering for synthetic data generation in automotive applications A Tsirikoglou, J Kronander, M Wrenninge, J Unger arXiv preprint arXiv:1710.06270, 2017 | 103 | 2017 |
| A survey of image synthesis methods for visual machine learning A Tsirikoglou, G Eilertsen, J Unger Computer graphics forum 39 (6), 426-451, 2020 | 72 | 2020 |
| How to cheat with metrics in single-image HDR reconstruction G Eilertsen, S Hajisharif, P Hanji, A Tsirikoglou, RK Mantiuk, J Unger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
| Ensembles of GANs for synthetic training data generation G Eilertsen, A Tsirikoglou, C Lundström, J Unger arXiv preprint arXiv:2104.11797, 2021 | 20 | 2021 |
| Primary tumor and inter-organ augmentations for supervised lymph node colon adenocarcinoma metastasis detection A Tsirikoglou, K Stacke, G Eilertsen, J Unger International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 10 | 2021 |
| A study of deep learning colon cancer detection in limited data access scenarios A Tsirikoglou, K Stacke, G Eilertsen, M Lindvall, J Unger arXiv preprint arXiv:2005.10326, 2020 | 9 | 2020 |
| Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, O Diaz, ... Medical Imaging 2024: Image Processing 12926, 226-237, 2024 | 8 | 2024 |
| VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging F Cossío, H Schurz, M Engström, C Barck-Holst, A Tsirikoglou, ... Journal of Medical Imaging 10 (6), 061404-061404, 2023 | 8 | 2023 |
| Mama-mia: A large-scale multi-center breast cancer dce-mri benchmark dataset with expert segmentations L Garrucho, CA Reidel, K Kushibar, S Joshi, R Osuala, A Tsirikoglou, ... arXiv preprint arXiv:2406.13844, 2024 | 5 | 2024 |
| Differential appearance editing for measured brdfs A Tsirikoglou, J Kronander, P Larsson, T Tongbuasirilai, A Gardner, ... ACM SIGGRAPH 2016 Talks, 1-2, 2016 | 5 | 2016 |
| Towards learning contrast kinetics with multi-condition latent diffusion models R Osuala, DM Lang, P Verma, S Joshi, A Tsirikoglou, G Skorupko, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 4 | 2024 |
| Synthetic data for visual machine learning: A data-centric approach A Tsirikoglou PQDT-Global, 2022 | 4 | 2022 |
| Generative inter-class transformations for imbalanced data weather classification A Tsirikoglou, M Gladh, D Sahlin, G Eilertsen, J Unger London Imaging Meeting 2, 16-20, 2021 | 2 | 2021 |
| S (wi) SS: A flexible and robust sub-surface scattering shader A Tsirikoglou, S Ekeberg, J Vikström, J Kronander, J Unger SIGRAD 2014, June 12-13, 2014, Gothenburg, Sweden, 2014 | 2 | 2014 |
| Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis S Joshi, R Osuala, L Garrucho, A Tsirikoglou, J del Riego, ... Medical Imaging 2024: Image Processing 12926, 292-300, 2024 | 1 | 2024 |
| Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal KMS Zinsou, CT Diop, I Diop, A Tsirikoglou, EE Siddig, D Sow, M Ndiaye International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, DM Lang, ... arXiv preprint arXiv:2409.18872, 2024 | | 2024 |
| Efficient Simulation and Rendering of Sub-surface Scattering A Tsirikoglou | | 2013 |
Jonas UngerProfessor, division for Media and Information Technology, Linköping University, SwedenПотвърден имейл адрес: liu.se