Kimmo Kartasalo

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Primary: Shown in the list of current labels.

Year 2024

PubMed DOI Crossref
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Weitz P, Valkonen M, Solorzano L, ..., Ruusuvuori P, Rantalainen M
Med Image Anal 97 (-) 103257 [2024-10-00; online 2024-07-01]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study.
Du X, Hao S, Olsson H, ..., Eklund M, Clements M
Eur Urol Oncol - (-) - [2024-05-23; online 2024-05-23]
DDLS Fellow Kimmo Kartasalo

Year 2023

PubMed DOI Crossref
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics.
Weitz P, Valkonen M, Solorzano L, ..., Ruusuvuori P, Rantalainen M
Sci Data 10 (1) 562 [2023-08-24; online 2023-08-24]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy.
Øvrebø Ø, Ojansivu M, Kartasalo K, ..., Holme MN, Stevens MM
BMC Bioinformatics 24 (1) 237 [2023-06-05; online 2023-06-05]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria.
Egevad L, Delahunt B, Iczkowski KA, ..., Eklund M, Kartasalo K
Histopathology 82 (6) 837-845 [2023-05-00; online 2023-01-25]
DDLS Fellow Kimmo Kartasalo

Year 2022

PubMed DOI Crossref
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction.
Olsson H, Kartasalo K, Mulliqi N, ..., Spjuth O, Eklund M
Nat Commun 13 (1) 7761 [2022-12-15; online 2022-12-15]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Detection of perineural invasion in prostate needle biopsies with deep neural networks.
Kartasalo K, Ström P, Ruusuvuori P, ..., Eklund M, Egevad L
Virchows Arch. 481 (1) 73-82 [2022-07-00; online 2022-04-21]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
Weitz P, Wang Y, Kartasalo K, ..., Eklund M, Rantalainen M
Bioinformatics 38 (13) 3462-3469 [2022-06-27; online 2022-05-21]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment.
Ruusuvuori P, Valkonen M, Kartasalo K, ..., Nykter M, Latonen L
Heliyon 8 (1) e08762 [2022-01-00; online 2022-01-14]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.
Bulten W, Kartasalo K, Chen PC, ..., Eklund M, PANDA challenge consortium
Nat. Med. 28 (1) 154-163 [2022-01-00; online 2022-01-13]
DDLS Fellow Kimmo Kartasalo

Year 2021

PubMed DOI Crossref
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology.
Mulliqi N, Kartasalo K, Olsson H, ..., Eklund M, Ruusuvuori P
Bioinformatics 37 (21) 3995-3997 [2021-11-05; online 2021-08-07]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.
Liimatainen K, Latonen L, Valkonen M, Kartasalo K, Ruusuvuori P
BMC Cancer 21 (1) 1133 [2021-10-22; online 2021-10-22]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.
Wang Y, Kartasalo K, Weitz P, ..., Hartman J, Rantalainen M
Cancer Res. 81 (19) 5115-5126 [2021-10-01; online 2021-08-02]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer.
Chelebian E, Avenel C, Kartasalo K, ..., Lundeberg J, Wählby C
Cancers (Basel) 13 (19) - [2021-09-28; online 2021-09-28]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
The emerging role of artificial intelligence in the reporting of prostate pathology.
Egevad L, Delahunt B, Samaratunga H, ..., Kartasalo K, Eklund M
Pathology 53 (5) 565-567 [2021-08-00; online 2021-06-06]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.
Kartasalo K, Bulten W, Delahunt B, ..., Egevad L, Eklund M
Eur Urol Focus 7 (4) 687-691 [2021-07-00; online 2021-08-12]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Interobserver reproducibility of perineural invasion of prostatic adenocarcinoma in needle biopsies.
Egevad L, Delahunt B, Samaratunga H, ..., Eklund M, Ruusuvuori P
Virchows Arch. 478 (6) 1109-1116 [2021-06-00; online 2021-02-03]
DDLS Fellow Kimmo Kartasalo

Year 2020

PubMed DOI Crossref
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading.
Egevad L, Swanberg D, Delahunt B, ..., Clements M, Eklund M
Virchows Arch. 477 (6) 777-786 [2020-12-00; online 2020-06-15]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
Borovec J, Kybic J, Arganda-Carreras I, ..., Zhao S, Munoz-Barrutia A
IEEE Trans Med Imaging 39 (10) 3042-3052 [2020-10-00; online 2020-04-07]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
The utility of artificial intelligence in the assessment of prostate pathology.
Egevad L, Ström P, Kartasalo K, ..., Delahunt B, Eklund M
Histopathology 76 (6) 790-792 [2020-05-00; online 2020-05-14]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
Ström P, Kartasalo K, Olsson H, ..., Egevad L, Eklund M
Lancet Oncol 21 (2) 222-232 [2020-02-00; online 2020-01-08]
DDLS Fellow Kimmo Kartasalo

Year 2019

PubMed DOI Crossref
The importance of study design in the application of artificial intelligence methods in medicine.
Eklund M, Kartasalo K, Olsson H, Ström P
NPJ Digit Med 2 (-) 101 [2019-10-18; online 2019-10-18]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.
Liimatainen K, Latonen L, Kartasalo K, Ruusuvuori P
Annu Int Conf IEEE Eng Med Biol Soc 2019 (-) 2867-2871 [2019-07-00; online 2020-01-18]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Deep Learning in Image Cytometry: A Review.
Gupta A, Harrison PJ, Wieslander H, ..., Sintorn I, Wählby C
Cytometry A 95 (4) 366-380 [2019-04-00; online 2018-12-19]
DDLS Fellow Kimmo Kartasalo

Year 2018

PubMed DOI Crossref
Focal Adhesion Kinase and ROCK Signaling Are Switch-Like Regulators of Human Adipose Stem Cell Differentiation towards Osteogenic and Adipogenic Lineages.
Hyväri L, Ojansivu M, Juntunen M, ..., Miettinen S, Vanhatupa S
Stem Cells Int 2018 (-) 2190657 [2018-09-12; online 2018-09-12]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Comparative analysis of tissue reconstruction algorithms for 3D histology.
Kartasalo K, Latonen L, Vihinen J, ..., Nykter M, Ruusuvuori P
Bioinformatics 34 (17) 3013-3021 [2018-09-01; online 2018-04-24]
DDLS Fellow Kimmo Kartasalo

Year 2017

PubMed DOI Crossref
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Ehteshami Bejnordi B, Veta M, Johannes van Diest P, ..., Racoceanu D, Venâncio R
JAMA 318 (22) 2199-2210 [2017-12-12; online 2017-12-14]
DDLS Fellow Kimmo Kartasalo
DOI Crossref
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology
Valkonen M, Kartasalo K, Liimatainen K, ..., Latonen L, Ruusuvuori P
- - (-) 27-35 [2017-10-00; online 2017-10-00]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
A durable and biocompatible ascorbic acid-based covalent coating method of polydimethylsiloxane for dynamic cell culture.
Leivo J, Virjula S, Vanhatupa S, ..., Miettinen S, Kallio P
J R Soc Interface 14 (132) - [2017-07-00; online 2017-07-28]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Metastasis detection from whole slide images using local features and random forests.
Valkonen M, Kartasalo K, Liimatainen K, ..., Latonen L, Ruusuvuori P
Cytometry A 91 (6) 555-565 [2017-06-00; online 2017-04-20]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models.
Valkonen M, Ruusuvuori P, Kartasalo K, ..., Visakorpi T, Latonen L
Sci Rep 7 (-) 44831 [2017-03-20; online 2017-03-20]
DDLS Fellow Kimmo Kartasalo

Year 2016

DOI Crossref
Benchmarking of algorithms for 3D tissue reconstruction
Kartasalo K, Latonen L, Visakorpi T, Nykter M, Ruusuvuori P
- - (-) 2360-2364 [2016-09-00; online 2016-09-00]
DDLS Fellow Kimmo Kartasalo
DOI Crossref
A software tool for studying the size and shape of human cardiomyocytes
Rasku J, Ojala M, Pölönen RP, ..., Aalto-Setälä K, Juhola M
Biomedical Signal Processing and Control 30 (-) 134-139 [2016-09-00; online 2016-09-00]
DDLS Fellow Kimmo Kartasalo

Year 2015

PubMed DOI Crossref
CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels.
Kartasalo K, Pölönen R, Ojala M, ..., Aalto-Setälä K, Kallio P
BMC Bioinformatics 16 (-) 344 [2015-10-26; online 2015-10-26]
DDLS Fellow Kimmo Kartasalo
PubMed DOI Crossref
Transcriptome Sequencing Reveals PCAT5 as a Novel ERG-Regulated Long Noncoding RNA in Prostate Cancer.
Ylipää A, Kivinummi K, Kohvakka A, ..., Visakorpi T, Nykter M
Cancer Res. 75 (19) 4026-4031 [2015-10-01; online 2015-08-17]
DDLS Fellow Kimmo Kartasalo
SciLifeLab Data Centre
Publications 9.5.1