Recent advances in large scale whole body MRI image analysis: Imiomics. - Robin Strand; Simon Ekström; Eva Breznik; Therese Sjöholm; Martino Pilia; Lars Lind; Filip Malmberg; Håkan Ahlström; Joel Kullberg (SIET, 2020)

An unfitted RBF-FD method in a least-squares setting for elliptic PDEs on complex geometries. - Igor Tominec; Eva Breznik (J. Comput. Phys., 2021)

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. - Eva Breznik; Elisabeth Wetzer; Joakim Lindblad; Natasa Sladoje (CoRR, 2022)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

A Study of Augmentation Methods for Handwritten Stenography Recognition. - Raphaela Heil; Eva Breznik (IbPRIA, 2023)

Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. - Eva Breznik; Joel Kullberg; Håkan Ahlström; Robin Strand (SCIA (2), 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

Image Processing and Analysis Methods for Biomedical Applications. - Eva Breznik (2023)

Leveraging Point Annotations in Segmentation Learning with Boundary Loss. - Eva Breznik; Hoel Kervadec; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Marleen de Bruijne; Robin Strand (ICPR (13), 2024)

ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. - Swagata Kundu; Subhashis Banerjee; Eva Breznik; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (SN Comput. Sci., 2024)