Solveig Thrun
Zijun Sun,
Enze Ge,
Solveig Thrun,
Michael Kampffmeyer
:
From Exams to Trajectories: Neural Controlled Differential Equations for Longitudinal Mammography Vision‑Language Pretraining
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
Longitudinal Multi-View Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 2026 ARKIV
Fredrik Andreas Dahl,
Amund Vedal,
Line Eikvil,
Solveig Thrun,
Michael Kampffmeyer,
Solveig Sand-Hanssen 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
et al.:
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,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
Longitudinal Multi-View Breast Cancer Risk Prediction
25. September 2026 ARKIV
Solveig Thrun
:
Can AI Predict Breast Cancer Risk? Advancing Early Detection with Deep Learning
20. May 2026 ARKIV
Solveig Thrun,
Zijun Sun,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm,
Elisabeth Wetzer,
Stine Hansen
et al.:
BCRBench: A Breast Cancer Risk Benchmark
27. September 2026 ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
et al.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
05. January 2026 ARKIV
Solveig Thrun
:
Deep Learning Based Breast Cancer Risk Prediction from Longitudinal Mammograms
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 ARKIV
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 ARKIV
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 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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