Elisabeth Wetzer

According to our database, Elisabeth Wetzer authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training.

Kristoffer Wickstrøm, Teresa Dorszewski, Siyan Chen, Michael Kampffmeyer, Elisabeth Wetzer, Robert Jenssen

CoRR, December, 2025

The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment.

Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer

CoRR, November, 2025

Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN.

Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer

CoRR, October, 2025

Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models.

Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen, Tone Hovda, Antonio Portaluri, Solveig Thrun, Michael Kampffmeyer, Elisabeth Wetzer, Kristoffer Wickstrøm, Robert Jenssen

CoRR, September, 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, July, 2025

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

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [¹⁸F]FDG PET Images.

Christian Salomonsen, Kristoffer K. Wickstrøm, Samuel Kuttner, Elisabeth Wetzer

Proceedings of the Predictive Intelligence in Medicine - 8th International Workshop, 2025

Flatland and Beyond: Mutual Information Across Geometries.

Youssef Wally, Johan Mylius-Kroken, Michael Kampffmeyer, Rezvan Ehsani, Vladan Milosevic, Elisabeth Wetzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2023

Representation Learning and Information Fusion: Applications in Biomedical Image Processing.

Elisabeth Wetzer

PhD thesis, 2023

Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers?

Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022

Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations.

Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, Natasa Sladoje

CoRR, 2022

2020

CoMIR: Contrastive Multimodal Image Representation for Registration.

Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu, Carolina Wählby, Joakim Lindblad, Natasa Sladoje

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018