Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps. - Elisabeth Wetzer; Joakim Lindblad; Ida-Maria Sintorn; Kjell Hultenby; Natasa Sladoje (ECCV Workshops (6), 2018)

When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection. - Elisabeth Wetzer; Jo Gay; Hugo Harlin; Joakim Lindblad; Natasa Sladoje (ISBI, 2020)

CoMIR: Contrastive Multimodal Image Representation for Registration. - Nicolas Pielawski; Elisabeth Wetzer; Johan Öfverstedt; Jiahao Lu; Carolina Wählby; Joakim Lindblad; Natasa Sladoje (NeurIPS, 2020)

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

Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers? - Elisabeth Wetzer; Joakim Lindblad; Natasa Sladoje (IbPRIA, 2023)

Representation Learning and Information Fusion: Applications in Biomedical Image Processing. - Elisabeth Wetzer (2023)

Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance. - Suaiba Amina Salahuddin; Elisabeth Wetzer; Kristoffer Wickstrøm; Solveig Thrun; Michael Kampffmeyer; Robert Jenssen (SCIA (2), 2025)

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. - Solveig Thrun; Stine Hansen; Zijun Sun; Nele Blum; Suaiba Amina Salahuddin; Kristoffer Wickstrøm; Elisabeth Wetzer; Robert Jenssen; Maik Stille; Michael Kampffmeyer (CoRR, 2025)

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. - Christian Salomonsen; Luigi Tommaso Luppino; Fredrik Aspheim; Kristoffer Wickstrøm; Elisabeth Wetzer; Michael Kampffmeyer; Rodrigo Berzaghi; Rune Sundset; Robert Jenssen; Samuel Kuttner (CoRR, 2025)