Suaiba Amina Salahuddin
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
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. juni 2025 DOI
Stine Hansen,
Srishti Gautam,
Suaiba Amina Salahuddin,
Michael Christian Kampffmeyer,
Robert Jenssen
:
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement
Srishti Gautam,
Ahcene Boubekki,
Stine Hansen,
Suaiba Amina Salahuddin,
Robert Jenssen,
Marina Marie-Claire Hohne
m.fl.:
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Suaiba Amina Salahuddin,
Stine Hansen,
Srishti Gautam,
Michael Kampffmeyer,
Robert Jenssen
:
A self-guided anomaly detection-inspired few-shot segmentation network
CEUR Workshop Proceedings 2022 ARKIV
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
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
Elisabeth Wetzer,
Suaiba Amina Salahuddin,
Robert Jenssen,
Michael Christian Kampffmeyer,
Torkil Stoltz
:
Verdens nordligste KI-konferanse
08. januar 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
Elisabeth Wetzer,
Suaiba Amina Salahuddin,
Srishti Gautam,
Petter Bjørklund
:
What causes an AI program to treat genders differently?
uit.no 2024
Petter Bjørklund,
Elisabeth Wetzer,
Srishti Gautam,
Suaiba Amina Salahuddin
:
Hva får et KI-program til å behandle kjønn ulikt?
uit.no 2024
Petter Bjørklund,
Srishti Gautam,
Elisabeth Wetzer,
Suaiba Amina Salahuddin
:
UiT-forskere peker på tre løsninger for mindre skjev KI
2024
Changkyu Choi,
Shujian Yu,
Michael Kampffmeyer,
Arnt-Børre Salberg,
Nils Olav Handegard,
Suaiba Amina Salahuddin
m.fl.:
Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior
2022
Magnus Oterhals Størdal,
Suaiba Amina Salahuddin
:
PhD candidates' view on the next generation of deep learning for medical images
2022
De 50 siste resultatene fra Cristin vises på siden. Se alle arbeider i Cristin her →