Solveig Thrun
Fredrik A. Dahl,
Amund Vedal,
Line Eikvil,
Solveig Thrun,
Michael Kampffmeyer,
Solveig Hofvind
:
Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms
Lecture Notes in Computer Science (LNCS) 15. July 2025 DOI
Zijun Sun,
Solveig Thrun,
Michael Kampffmeyer
:
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 2025 DOI
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 20. September 2025 DOI
Suaiba Amina Salahuddin,
Elisabeth Wetzer,
Kristoffer Wickstrøm,
Solveig Thrun,
Michael Kampffmeyer,
Robert Jenssen
:
Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
Lecture Notes in Computer Science (LNCS) 16. June 2025 DOI
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
07. December 2025
Solveig Thrun,
Stine Hansen,
Nele Blum,
Maik Stille,
Robert Jenssen,
Michael Kampffmeyer
:
TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
08. January 2025
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
et al.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
20. September 2025
Suaiba Amina Salahuddin,
Elisabeth Wetzer,
Kristoffer Wickstrøm,
Solveig Thrun,
Michael Kampffmeyer,
Robert Jenssen
:
Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
2025
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