Claes Lundström

Linköping University — Sweden

Computer Science · Physical Sciences

24h-index2.0kcitations89works0.92yr avg
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Research Topics

AI in cancer detection(35), Computer Graphics and Visualization Techniques(20), Radiomics and Machine Learning in Medical Imaging(18), Medical Image Segmentation Techniques(12), Cell Image Analysis Techniques(11)

Publications89 total

Least-Ambiguous Multi-Label Classifier
arXiv (Cornell University)·2025Open Access
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
arXiv (Cornell University)·2025Open Access
Multipla: Multiscale Pangenomic Locus Analysis
Computer Graphics Forum·2025Open Access
Validation of Conformal Prediction in Cervical Atypia Classification
arXiv (Cornell University)·2025Open Access
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study
npj Digital Medicine·2025· 3 citedOpen Access
Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data
Computer Graphics Forum·2024· 2 citedOpen Access
Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data
IEEE Transactions on Visualization and Computer Graphics·2024· 2 citedOpen Access
Benefits of spatial uncertainty aggregation for segmentation in digital pathology
Journal of Medical Imaging·2024Open Access
Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation
2023· 2 cited
The thorny complexities of visualization research for clinical settings: A case study from genomics
Frontiers in Bioinformatics·2023· 1 citedOpen Access
VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging
Journal of Medical Imaging·2023· 13 citedOpen Access
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
Lecture notes in computer science·2023· 7 citedOpen Access
Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging
Journal of Digital Imaging·2022· 24 citedOpen Access
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Cancers·2022· 31 citedOpen Access
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
The Journal of Machine Learning for Biomedical Imaging·2022· 21 citedOpen Access
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
Scientific Reports·2022· 23 citedOpen Access
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
arXiv (Cornell University)·2021Open Access
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
arXiv (Cornell University)·2021· 1 citedOpen Access
Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
Acta Orthopaedica·2021· 126 citedOpen Access
Ensembles of GANs for synthetic training data generation
arXiv (Cornell University)·2021· 2 citedOpen Access
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Frequent Co-authors

Anders Ynnerman(14), Patric Ljung(11), Darren Treanor(10), Jesper Molin(9), Anders Persson(8), Gabriel Eilertsen(7), Martin Lindvall(6), Karin Stacke(5), Jonas Unger(4), Anna Bodén(4), Sofia Jarkman(4), Milda Pocevičiūtė(4), Joel Hedlund(3), André Homeyer(3), Horst K. Hahn(3), Daniel Forsberg(3), Hans Knutsson(3), Morten Fjeld(3), Sten Thorstenson(2), Nick Weiss(2)