Claes Lundström

About Claes Lundström

Claes Lundström, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at Linköpings Universitet, specializes in the field of Visualization, medical imaging, AI, pathology, radiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Visualization for diagnostic review of copy number variants in complex DNA sequencing data

Benefits of spatial uncertainty aggregation for segmentation in digital pathology

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation

Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging

The thorny complexities of visualization research for clinical settings: A case study from genomics

VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

Claes Lundström Information

University

Position

Center for Medical Image Science and Visualization

Citations(all)

2141

Citations(since 2020)

1104

Cited By

1312

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

47

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Claes Lundström Skills & Research Interests

Visualization

medical imaging

AI

pathology

radiology

Top articles of Claes Lundström

Visualization for diagnostic review of copy number variants in complex DNA sequencing data

2024/4/8

Claes Lundström
Claes Lundström

H-Index: 14

Anders Ynnerman
Anders Ynnerman

H-Index: 21

Benefits of spatial uncertainty aggregation for segmentation in digital pathology

Journal of Medical Imaging

2024/1/1

Gabriel Eilertsen
Gabriel Eilertsen

H-Index: 8

Claes Lundström
Claes Lundström

H-Index: 14

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance

2023/10/1

Gabriel Eilertsen
Gabriel Eilertsen

H-Index: 8

Claes Lundström
Claes Lundström

H-Index: 14

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation

2023/4/6

Gabriel Eilertsen
Gabriel Eilertsen

H-Index: 8

Claes Lundström
Claes Lundström

H-Index: 14

Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging

2022/11/9

Claes Lundström
Claes Lundström

H-Index: 14

Martin Lindvall
Martin Lindvall

H-Index: 3

The thorny complexities of visualization research for clinical settings: A case study from genomics

Frontiers in Bioinformatics

2023/3/29

Anders Ynnerman
Anders Ynnerman

H-Index: 21

Claes Lundström
Claes Lundström

H-Index: 14

VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging

Journal of Medical Imaging

2023/11/1

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

arXiv preprint arXiv:2112.05760

2021/12/10

Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology

Scientific Reports

2022/5/18

Gabriel Eilertsen
Gabriel Eilertsen

H-Index: 8

Claes Lundström
Claes Lundström

H-Index: 14

Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection

Cancers

2022/1

Visualization Challenges of Variant Interpretation in Multiscale NGS Data.

2022

Claes Lundström
Claes Lundström

H-Index: 14

Anders Ynnerman
Anders Ynnerman

H-Index: 21

Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a …

Acta orthopaedica

2021/10/8

Claes Lundström
Claes Lundström

H-Index: 14

Joel Hedlund
Joel Hedlund

H-Index: 7

The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice

Histopathology

2021/8

Claes Lundström
Claes Lundström

H-Index: 14

Multi-Touch Surfaces and Patient-Specific Data

2021/5/15

Ensembles of GANs for synthetic training data generation

arXiv preprint arXiv:2104.11797

2021/4/23

Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI

2021/4/14

Unsupervised anomaly detection in digital pathology using GANs

2021/4/13

Gabriel Eilertsen
Gabriel Eilertsen

H-Index: 8

Claes Lundström
Claes Lundström

H-Index: 14

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training

Journal of digital imaging

2021/2

Measuring domain shift for deep learning in histopathology

IEEE journal of biomedical and health informatics

2020/10/21

Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden

Scientific Data

2020/10/6

See List of Professors in Claes Lundström University(Linköpings Universitet)

Co-Authors

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