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
Zijun Sun,
Solveig Thrun,
Michael Kampffmeyer
:
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
m.fl.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
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
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
m.fl.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
07. desember 2025 ARKIV
Solveig Thrun,
Stine Hansen,
Nele Blum,
Maik Stille,
Robert Jenssen,
Michael Kampffmeyer
:
TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
08. januar 2025 ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
m.fl.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
20. september 2025 ARKIV
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 ARKIV
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