Kimmo Kartasalo

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Journal article: MEDICAL IMAGE ANALYSIS. 2024;97:103257
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Robertson S; Marzahl C; Gatenbee CD; Anderson ARA; Wodzinski M; Jurgas A; Marini N; Atzori M; Müller H; Budelmann D; Weiss N; Heldmann S; Lotz J; Wolterink JM; De Santi B; Patil A; Sethi A; Kondo S; Kasai S; Hirasawa K; Farrokh M; Kumar N; Greiner R; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Article: EUROPEAN UROLOGY ONCOLOGY. 2024;:S2588-9311(24)00133-0
Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study.
Du X; Hao S; Olsson H; Kartasalo K; Mulliqi N; Rai B; Menges D; Heintz E; Egevad L; Eklund M; Clements M
Article: SCIENTIFIC DATA. 2023;10(1):562
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Article: BMC BIOINFORMATICS. 2023;24(1):237
RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy
ovrebo O; Ojansivu M; Kartasalo K; Barriga HMG; Ranefall P; Holme MN; Stevens MM
Article: HISTOPATHOLOGY. 2023;82(6):837-845
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria
Egevad L; Delahunt B; Iczkowski KA; van der Kwast T; van Leenders GJLH; Leite KRM; Pan C-C; Samaratunga H; Tsuzuki T; Mulliqi N; Ji X; Olsson H; Valkonen M; Ruusuvuori P; Eklund M; Kartasalo K
Journal article: CANCER RESEARCH. 2023;83(7):5432
Validation of spatial gene expression patterns predicted by deep convolutional neural networks from breast cancer histopathology images
Ton K; Wang Y; Pan L; Kartasalo K; Acs B; Weitz P; Zhang L; Liang Y; Hartman J; Volkonen M; Larsson C; Ruusuvuori P; Beechem J; Rantalainen M
Article: NATURE COMMUNICATIONS. 2022;13(1):7761
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Olsson H; Kartasalo K; Mulliqi N; Capuccini M; Ruusuvuori P; Samaratunga H; Delahunt B; Lindskog C; Janssen EAM; Blilie A; Egevad L; Spjuth O; Eklund M
Article: VIRCHOWS ARCHIV. 2022;481(1):73-82
Detection of perineural invasion in prostate needle biopsies with deep neural networks
Kartasalo K; Strom P; Ruusuvuori P; Samaratunga H; Delahunt B; Tsuzuki T; Eklund M; Egevad L
Article: BIOINFORMATICS. 2022;38(13):3462-3469
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Gronberg H; Eklund M; Rantalainen M
Journal article: EUROPEAN UROLOGY. 2022;81:s915-s916
A0613 A robust artificial intelligence approach for histopathological evaluation of prostate biopsies
Mulliqi N; Kartasalo K; Ji X; Szolnoky K; Olsson H; Blilie A; Braun M; Gambacorta M; Hotakainen K; Janssen EAM; Kjosavik SR; Łowicki R; Pedersen BG; Sørensen KD; Ulhøi BP; Ruusuvuori P; Egevad L; Eklund M
Journal article: EUROPEAN UROLOGY. 2022;81:s913
A0611 Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies
Kartasalo K; Bulten W; Chen P-HC; Ström P; Pinckaers H; Nagpal K; Ruusuvuori P; Litjens G; Eklund M; Consortium PC
Article: HELIYON. 2022;8(1):e08762
Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment
Ruusuvuori P; Valkonen M; Kartasalo K; Valkonen M; Visakorpi T; Nykter M; Latonen L
Article: NATURE MEDICINE. 2022;28(1):154-163
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Bulten W; Kartasalo K; Chen P-HC; Strom P; Pinckaers H; Nagpal K; Cai Y; Steiner DF; van Boven H; Vink R; Hulsbergen-van de Kaa C; van der Laak J; Amin MB; Evans AJ; van der Kwast T; Allan R; Humphrey PA; Gronberg H; Samaratunga H; Delahunt B; Tsuzuki T; Hakkinen T; Egevad L; Demkin M; Dane S; Tan F; Valkonen M; Corrado GS; Peng L; Mermel CH; Ruusuvuori P; Litjens G; Eklund M
Article: BIOINFORMATICS. 2021;37(21):3995-3997
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
Mulliqi N; Kartasalo K; Olsson H; Ji X; Egevad L; Eklund M; Ruusuvuori P
Article: BMC CANCER. 2021;21(1):1133
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration
Liimatainen K; Latonen L; Valkonen M; Kartasalo K; Ruusuvuori P
Article: CANCER RESEARCH. 2021;81(19):5115-5126
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Acs B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Article: CANCERS. 2021;13(19):4837
Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer
Chelebian E; Avenel C; Kartasalo K; Marklund M; Tanoglidi A; Mirtti T; Colling R; Erickson A; Lamb AD; Lundeberg J; Wahlby C
Article: VIRCHOWS ARCHIV. 2021;478(6):1109-1116
Interobserver reproducibility of perineural invasion of prostatic adenocarcinoma in needle biopsies
Egevad L; Delahunt B; Samaratunga H; Tsuzuki T; Olsson H; Strom P; Lindskog C; Hakkinen T; Kartasalo K; Eklund M; Ruusuvuori P
Article: VIRCHOWS ARCHIV. 2020;477(6):777-786
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading
Egevad L; Swanberg D; Delahunt B; Strom P; Kartasalo K; Olsson H; Berney DM; Bostwick DG; Evans AJ; Humphrey PA; Iczkowski KA; Kench JG; Kristiansen G; Leite KRM; McKenney JK; Oxley J; Pan C-C; Samaratunga H; Srigley JR; Takahashi H; Tsuzuki T; van der Kwast T; Varma M; Zhou M; Clements M; Eklund M
Article: IEEE TRANSACTIONS ON MEDICAL IMAGING. 2020;39(10):3042-3052
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge
Borovec J; Kybic J; Arganda-Carreras I; Sorokin DV; Bueno G; Khvostikov AV; Bakas S; Chang EI-C; Heldmann S; Kartasalo K; Latonen L; Lotz J; Noga M; Pati S; Punithakumar K; Ruusuvuori P; Skalski A; Tahmasebi N; Valkonen M; Venet L; Wang Y; Weiss N; Wodzinski M; Xiang Y; Xu Y; Yan Y; Yushkevich P; Zhao S; Munoz-Barrutia A
Article: THE LANCET ONCOLOGY. 2020;21(2):222-232
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
Strom P; Kartasalo K; Olsson H; Solorzano L; Delahunt B; Berney DM; Bostwick DG; Evans AJ; Grignon DJ; Humphrey PA; Iczkowski KA; Kench JG; Kristiansen G; van der Kwast TH; Leite KRM; McKenney JK; Oxley J; Pan C-C; Samaratunga H; Srigley JR; Takahashi H; Tsuzuki T; Varma M; Zhou M; Lindberg J; Lindskog C; Ruusuvuori P; Wahlby C; Gronberg H; Rantalainen M; Egevad L; Eklund M
Article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2019;2019:2867-2871
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.
Liimatainen K; Latonen L; Kartasalo K; Ruusuvuori P
Journal article: CANCER RESEARCH. 2019;79(13_Supplement):46
Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer
Ruusuvuori P; Kartasalo K; Valkonen M; Valkonen M; Visakorpi T; Nykter M; Latonen L
Article: STEM CELLS INTERNATIONAL. 2018;2018:2190657-13
Focal Adhesion Kinase and ROCK Signaling Are Switch-Like Regulators of Human Adipose Stem Cell Differentiation towards Osteogenic and Adipogenic Lineages
Hyvari L; Ojansivu M; Juntunen M; Kartasalo K; Miettinen S; Vanhatupa S
Article: BIOINFORMATICS. 2018;34(17):3013-3021
Comparative analysis of tissue reconstruction algorithms for 3D histology
Kartasalo K; Latonen L; Vihinen J; Visakorpi T; Nykter M; Ruusuvuori P
Article: JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (JAMA). 2017;318(22):2199-2210
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Bejnordi BE; Veta M; van Diest PJ; van Ginneken B; Karssemeijer N; Litjens G; van der Laak JAWM
Article: JOURNAL OF THE ROYAL SOCIETY INTERFACE. 2017;14(132):20170318
A durable and biocompatible ascorbic acid-based covalent coating method of polydimethylsiloxane for dynamic cell culture
Leivo J; Virjula S; Vanhatupa S; Kartasalo K; Kreutzer J; Miettinen S; Kallio P
Article: CYTOMETRY. PART A : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR ANALYTICAL CYTOLOGY. 2017;91A(6):555-565
Metastasis detection from whole slide images using local features and random forests
Valkonen M; Kartasalo K; Liimatainen K; Nykter M; Latonen L; Ruusuvuori P
Article: SCIENTIFIC REPORTS. 2017;7:44831
Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models
Valkonen M; Ruusuvuori P; Kartasalo K; Nykter M; Visakorpi T; Latonen L
Journal article: ENDOCRINE ABSTRACTS. 2016
Histological modeling of prostate cancer
Ruusuvuori P; Valkonen M; Kartasalo K; Visakorpi T; Latonen L; Nykter M
Article: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 2016;30:134-139
A software tool for studying the size and shape of human cardiomyocytes
Rasku J; Ojala M; Polonen R-P; Joutsijoki H; Gizatdinova Y; Laurikkala J; Kartasalo K; Aalto-Setala K; Juhola M
Article: BMC BIOINFORMATICS. 2015;16:344
CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels
Kartasalo K; Polonen R-P; Ojala M; Rasku J; Lekkala J; Aalto-Setala K; Kallio P
Article: CANCER RESEARCH. 2015;75(19):4026-4031
Transcriptome Sequencing Reveals PCAT5 as a Novel ERG-Regulated Long Noncoding RNA in Prostate Cancer
Ylipaa A; Kivinummi K; Kohvakka A; Annala M; Latonen L; Scaravilli M; Kartasalo K; Leppanen S-P; Karakurt S; Seppala J; Yli-Harja O; Tammela TLJ; Zhang W; Visakorpi T; Nykter M
Journal article: EUROPEAN UROLOGY OPEN SCIENCE. 2014;13(1):e299
299 Novel prostate cancer specific transcripts identified using RNA-seq
Ylipää A; Kivinummi KK; Annala MJ; Kartasalo K; Latonen L; Leppänen S-P; Scaravilli M; Zhang W; Tammela TLJ; Visakorpi T; Nykter M
Journal article: CANCER RESEARCH. 2013;73(8_Supplement):5217
Abstract 5217: Integrative sequencing reveals novel alterations in untreated and castration resistant prostate cancer.
Annala MJ; Waltering KK; Ylipää A; Kartasalo K; Tuppurainen K; Karakurt S; Latonen L; Saramäki O; Leppänen S-P; Seppälä J; Rauhala HE; Tammela TL; Yli-Harja O; Zhang W; Visakorpi T; Nykter M
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Alla övriga publikationer

Preprint: MEDRXIV. 2024
Study Protocol: Development and Retrospective Validation of an Artificial Intelligence System for Diagnostic Assessment of Prostate Biopsies
Mulliqi N; Blilie A; Ji X; Szolnoky K; Olsson H; Titus M; Gonzalez GM; Boman SE; Valkonen M; Gudlaugsson E; Kjosavik SR; Asenjo J; Gambacorta M; Libretti P; Braun M; Kordek R; Łowicki R; Hotakainen K; Väre P; Pedersen BG; Sørensen KD; Ulhøi BP; Rantalainen M; Ruusuvuori P; Delahunt B; Samaratunga H; Tsuzuki T; Janssen EAM; Egevad L; Kartasalo K; Eklund M
Preprint: ARXIV. 2023
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis
Ji X; Salmon R; Mulliqi N; Khan U; Wang Y; Blilie A; Olsson H; Pedersen BG; Sørensen KD; Ulhøi BP; Kjosavik SR; Janssen EA; Rantalainen M; Egevad L; Ruusuvuori P; Eklund M; Kartasalo K
Preprint: ARXIV. 2023
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Robertson S; Marzahl C; Gatenbee CD; Anderson ARA; Wodzinski M; Jurgas A; Marini N; Atzori M; Müller H; Budelmann D; Weiss N; Heldmann S; Lotz J; Wolterink JM; De Santi B; Patil A; Sethi A; Kondo S; Kasai S; Hirasawa K; Farrokh M; Kumar N; Greiner R; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART2) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART1) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF1 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF1 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S6 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF2 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF4 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART2) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Methods from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF3 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S6 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF2 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF4 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Methods from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Tables from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Supplementary Tables from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure SF3 from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Figure S5 (PART1) from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2023
Data from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Preprint: ARXIV. 2022
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SKS; Sharma A; Eriksson KL; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
Conference publication: EUROPEAN UROLOGY. 2022;81:S913
Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies
Kartasalo K; Bulten W; Chen P-HC; Strom P; Pinckaers H; Nagpal K; Ruusuvuori P; Litjens G; Eklund M
Conference publication: EUROPEAN UROLOGY. 2022;81:S915-S916
A robust artificial intelligence approach for histopathological evaluation of prostate biopsies
Mulliqi N; Kartasalo K; Ji X; Szolnoky K; Olsson H; Blilie A; Braun M; Gambacorta M; Hotakainen K; Janssen EAM; Kjosavik SR; Lowicki R; Pedersen BG; Sorensen KD; Ulhoi BP; Ruusuvuori P; Egevad L; Eklund M
Editorial comment: PATHOLOGY. 2021;53(5):565-567
The emerging role of artificial intelligence in the reporting of prostate pathology
Egevad L; Delahunt B; Samaratunga H; Tsuzuki T; Yamamoto Y; Yaxley J; Ruusuvuori P; Kartasalo K; Eklund M
Review: EUROPEAN UROLOGY FOCUS. 2021;7(4):687-691
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps
Kartasalo K; Bulten W; Delahunt B; Chen P-HC; Pinckaers H; Olsson H; Ji X; Mulliqi N; Samaratunga H; Tsuzuki T; Lindberg J; Rantalainen M; Wahlby C; Litjens G; Ruusuvuori P; Egevad L; Eklund M
Preprint: ARXIV. 2021
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Grönberg H; Eklund M; Rantalainen M
Preprint: ARXIV. 2020
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer
Wang Y; Kartasalo K; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
Editorial comment: HISTOPATHOLOGY. 2020;76(6):790-792
The utility of artificial intelligence in the assessment of prostate pathology
Egevad L; Strom P; Kartasalo K; Olsson H; Samaratunga H; Delahunt B; Eklund M
Preprint: ARXIV. 2020
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks
Ström P; Kartasalo K; Ruusuvuori P; Grönberg H; Samaratunga H; Delahunt B; Tsuzuki T; Egevad L; Eklund M
Preprint: ARXIV. 2020
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration
Liimatainen K; Latonen L; Valkonen M; Kartasalo K; Ruusuvuori P
Corrigendum: THE LANCET ONCOLOGY. 2020;21(2):E70
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study (vol 21, pg 222, 2020)
Strom P; Kartasalo K; Olsson H
Preprint: ARXIV. 2019
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
Ström P; Kartasalo K; Olsson H; Solorzano L; Delahunt B; Berney DM; Bostwick DG; Evans AJ; Grignon DJ; Humphrey PA; Iczkowski KA; Kench JG; Kristiansen G; van der Kwast TH; Leite KRM; McKenney JK; Oxley J; Pan C-C; Samaratunga H; Srigley JR; Takahashi H; Tsuzuki T; Varma M; Zhou M; Lindberg J; Bergström C; Ruusuvuori P; Wählby C; Grönberg H; Rantalainen M; Egevad L; Eklund M
Meeting abstract: CANCER RESEARCH. 2019;79(13):46
3D reconstruction and quantitative analysis of histology for prostate cancer
Ruusuvuori P; Kartasalo K; Valkonen M; Valkonen M; Visakorpi T; Nykter M; Latonen L
Review: CYTOMETRY. PART A : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR ANALYTICAL CYTOLOGY. 2019;95A(4):366-380
Deep Learning in Image Cytometry: A Review
Gupta A; Harrison PJ; Wieslander H; Pielawski N; Kartasalo K; Partel G; Solorzano L; Suveer A; Klemm AH; Spjuth O; Sintorn I-M; Wahlby C
Letter: NPJ DIGITAL MEDICINE. 2019;2:101
The importance of study design in the application of artificial intelligence methods in medicine
Eklund M; Kartasalo K; Olsson H; Strom P
Meeting abstract: CANCER RESEARCH. 2018;78(16):b077
3D reconstruction and machine learning-based analysis of prostate cancer from histologic images.
Ruusuvuori P; Valkonen M; Kartasalo K; Visakorpi T; Nykter M; Latonen L
Conference publication: 2017;:27-35
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology
Valkonen M; Kartasalo K; Liimatainen K; Nykter M; Latonen L; Ruusuvuori P
Conference publication: 2016;:2360-2364
Benchmarking of Algorithms for 3D Tissue Reconstruction
Kartasalo K; Latonen L; Visakorpi T; Nykter M; Ruusuvuori P
Conference publication: CANCER RESEARCH. 2015;75:148
Transcriptome sequencing reveals PCAT5-new ERG-regulated non-coding transcript in prostate cancer
Ylipaa A; Kivinummi K; Annala M; Kohvakka A; Latonen L; Scaravilli M; Kartasalo K; Leppanen S-P; Karakurt S; Seppala J; Yli-Harja O; Tammela TLJ; Zhang W; Visakorpi T; Nykter M
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Senior Forskningsspecialist, Medicinsk epidemiologi och biostatistik, Karolinska Institutet, 2024-
Biträdande Lektor, Medicinsk epidemiologi och biostatistik, Karolinska Institutet, 2024-2030

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Sol Erika Boman, 2023
Kelvin Szolnoky, 2022

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