Kimmo Kartasalo

Karolinska Institutet

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Articles (19)

Collaborators (22)

Richard Colling

University of Oxford

UNITED KINGDOM

Martin Eklund

Associate professor

Karolinska Institutet

Tapio Visakorpi

Svein Reidar Kjosavik

Associated professor

University of Bergen

Carolina Wählby

Uppsala University

Pekka Ruusuvuori

Institute for Systems Biology

UNITED STATES

Alastair D. Lamb

UNITED KINGDOM

Karina Dalsgaard Sørensen

Aarhus University

Johan Lindberg

Karolinska University Hospital

Mark Clements

Karolinska Institutet

Balazs Acs

Karolinska Institutet

Joakim Lundeberg

KTH Royal Institute of Technology

Geert J L H van Leenders

Kristina Hotakainen

University of Helsinki

Cecilia Lindskog

Niccolò Marini

National Institutes of Health

UNITED STATES

Johan Hartman

Professor at Karolinska Institutet

Karolinska Institutet

Peter Ström

Karolinska Institutet

Jeroen van der Laak

Radboud University Medical Center

Dominik Menges

Senior Research & Teaching Assistant

University of Zurich

Anne-Vibeke Lænkholm

Zealand University Hospital

Marcin Braun

Medical University of Lodz

Kimmo Kartasalo

Research Interests

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Contact this professor

Articles (19)

Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap

The Role of Artificial Intelligence in the Evaluation of Prostate Pathology.

The ACROBAT 2022 challenge

Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study.

A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics

Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria

RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy.

Validation of spatial gene expression patterns predicted by deep convolutional neural networks from breast cancer histopathology images

Detection of perineural invasion in prostate needle biopsies with deep neural networks

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.

Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks

A0611 Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies

Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer

OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology

Collaborators (22)

Richard Colling

Martin Eklund

Tapio Visakorpi

Svein Reidar Kjosavik

Carolina Wählby

Pekka Ruusuvuori

Alastair D. Lamb

Karina Dalsgaard Sørensen

Johan Lindberg

Mark Clements

Balazs Acs

Joakim Lundeberg

Geert J L H van Leenders

Kristina Hotakainen

Cecilia Lindskog

Niccolò Marini

Johan Hartman

Peter Ström

Jeroen van der Laak

Dominik Menges

Anne-Vibeke Lænkholm

Marcin Braun

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