S(wi)SS: A flexible and robust sub-surface scattering shader. - Apostolia Tsirikoglou; Simon Ekeberg; Johan Vikström; Joel Kronander; Jonas Unger (SIGRAD, 2014)

Differential appearance editing for measured BRDFs. - Apostolia Tsirikoglou; Joel Kronander; Per Larsson; Tanaboon Tongbuasirilai; Andrew Gardner 002; Jonas Unger (SIGGRAPH Talks, 2016)

Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications. - Apostolia Tsirikoglou; Joel Kronander; Magnus Wrenninge; Jonas Unger (CoRR, 2017)

A Survey of Image Synthesis Methods for Visual Machine Learning. - Apostolia Tsirikoglou; Gabriel Eilertsen; Jonas Unger (Comput. Graph. Forum, 2020)

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios. - Apostolia Tsirikoglou; Karin Stacke; Gabriel Eilertsen; Martin Lindvall; Jonas Unger (CoRR, 2020)

How to cheat with metrics in single-image HDR reconstruction. - Gabriel Eilertsen; Saghi Hajisharif; Param Hanji; Apostolia Tsirikoglou; Rafal K. Mantiuk; Jonas Unger (ICCVW, 2021)

Generative inter-class transformations for imbalanced data weather classification. - Apostolia Tsirikoglou; Marcus Gladh; Daniel Sahlin; Gabriel Eilertsen; Jonas Unger (LIM, 2021)

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. - Apostolia Tsirikoglou; Karin Stacke; Gabriel Eilertsen; Jonas Unger (MICCAI (5), 2021)

Ensembles of GANs for synthetic training data generation. - Gabriel Eilertsen; Apostolia Tsirikoglou; Claes Lundström; Jonas Unger (CoRR, 2021)

Synthetic data for visual machine learning: A data-centric approach. - Apostolia Tsirikoglou (2022)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Karim Lekadir (CoRR, 2023)

Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection. - Fatima Zahrae Nakach; Ali Idri; Apostolia Tsirikoglou (ICMLA, 2024)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 2024)

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal. - Kpêtchéhoué Merveille Santi Zinsou; Cheikh Talibouya Diop; Idy Diop; Apostolia Tsirikoglou; Emmanuel Edwar Siddig; Doudou Sow; Maodo Ndiaye (MICCAI (3), 2024)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; Karim Lekadir (CoRR, 2024)