Apostolia Tsirikoglou
Apostolia Tsirikoglou
Postdoctoral researcher, Karolinska Institute
Verified email at
Cited by
Cited by
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
A survey of image synthesis methods for visual machine learning
A Tsirikoglou, G Eilertsen, J Unger
Computer Graphics Forum 39 (6), 426-451, 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
Ensembles of GANs for synthetic training data generation
G Eilertsen, A Tsirikoglou, C Lundström, J Unger
arXiv preprint arXiv:2104.11797, 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
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
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
Differential appearance editing for measured BRDFs
A Tsirikoglou, J Kronander, P Larsson, T Tongbuasirilai, A Gardner, ...
ACM SIGGRAPH 2016 Talks, 1-2, 2016
Synthetic data for visual machine learning: A data-centric approach
A Tsirikoglou
Linköping University Electronic Press, 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
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
Pre-to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, O Diaz, ...
arXiv preprint arXiv:2311.10879, 2023
Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation
R Osuala, S Joshi, A Tsirikoglou, LG Moras, WHL Pinaya, O Diaz, ...
Medical Imaging 2024: Image Processing 12926, 226-237, 2024
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
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
R Osuala, D Lang, P Verma, S Joshi, A Tsirikoglou, G Skorupko, ...
arXiv preprint arXiv:2403.13890, 2024
Efficient Simulation and Rendering of Sub-surface Scattering
A Tsirikoglou
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