Kimmo Kartasalo

29 papers B 1Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI-based Prediction of Biochemical Recurrence from Biopsy and Prostatectomy Samples.
CoRR
Andrea Camilloni, Chiara Micoli, Nita Mulliqi, Erik Everett Palm, þorgerður Pálsdóttir, Kelvin Szolnoky, Xiaoyi Ji, Sol Erika Boman, Andrea Discacciati, Henrik Grönberg, Lars Egevad, Tobias Nordström, Kimmo Kartasalo, Martin Eklund
2025 J jnl
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry.
CoRR
Anders Blilie, Nita Mulliqi, Xiaoyi Ji, Kelvin Szolnoky, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, José Asenjo, Marcello Gambacorta, Paolo Libretti, Einar Gudlaugsson, Svein Reidar Kjosavik, Lars Egevad, Emiel A. M. Janssen, Martin Eklund, Kimmo Kartasalo
2025 J jnl
Finding Holes: Pathologist Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.
CoRR
Kelvin Szolnoky, Anders Blilie, Nita Mulliqi, Toyonori Tsuzuki, Hemamali Samaratunga, Matteo Titus, Xiaoyi Ji, Sol Erika Boman, Einar Gudlaugsson, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Brett Delahunt, Kenneth A. Iczkowski, Theodorus H. van der Kwast, Geert J. L. H. van Leenders, Katia R. M. Leite, Chin-Chen Pan, Emiel A. M. Janssen, Martin Eklund, Lars Egevad, Kimmo Kartasalo
2025 J jnl
Foundation Models - A Panacea for Artificial Intelligence in Pathology?
CoRR
Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Henrik Olsson, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, Julia Anna Mielcarz, Masi Valkonen, Einar Gudlaugsson, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Brett Delahunt, Hemamali Samaratunga, Toyonori Tsuzuki, Emilius A. M. Janssen, Lars Egevad, Martin Eklund, Kimmo Kartasalo
2025 J jnl
Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap.
Medical Image Anal.
Clément Grisi, Kimmo Kartasalo, Martin Eklund, Lars Egevad, Jeroen van der Laak, Geert Litjens
2025 J jnl
Prostate biopsy whole slide image dataset from an underrepresented Middle Eastern population.
CoRR
Peshawa J. Muhammad Ali, Navin Vincent, Saman S. Abdulla, Han N. Mohammed Fadhl, Anders Blilie, Kelvin Szolnoky, Julia Anna Mielcarz, Xiaoyi Ji, Kimmo Kartasalo, Abdulbasit K. Al-Talabani, Nita Mulliqi
2025 J jnl
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology.
CoRR
Sol Erika Boman, Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Einar Gudlaugsson, Emiel A. M. Janssen, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Lars Egevad, Kimmo Kartasalo
2025 J jnl
Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort.
CoRR
Peshawa J. Muhammad Ali, Navin Vincent, Saman S. Abdulla, Han N. Mohammed Fadhl, Anders Blilie, Kelvin Szolnoky, Julia Anna Mielcarz, Xiaoyi Ji, Nita Mulliqi, Abdulbasit K. Al-Talabani, Kimmo Kartasalo
2024 J jnl
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Medical Image Anal.
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2023 J jnl
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis.
CoRR
Xiaoyi Ji, Richard Salmon, Nita Mulliqi, Umair Khan, Yinxi Wang, Anders Blilie, Henrik Olsson, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Svein Reidar Kjosavik, Emilius A. M. Janssen, Mattias Rantalainen, Lars Egevad, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo
2023 J jnl
RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy.
BMC Bioinform.
Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo, Hanna M. G. Barriga, Petter Ranefall, Margaret N. Holme, Molly M. Stevens
2023 J jnl
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.
CoRR
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2022 J jnl
ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.
CoRR
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2022 J jnl
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
Bioinform.
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
2021 — —
Machine Learning and 3D Reconstruction Methods for Computational Pathology.
Kimmo Kartasalo
2021 J jnl
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology.
Bioinform.
Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori
2021 J jnl
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks.
CoRR
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
2020 J jnl
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
IEEE Trans. Medical Imaging
Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
2020 J jnl
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks.
CoRR
Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund
2020 J jnl
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer.
CoRR
Yinxi Wang, Kimmo Kartasalo, Masi Valkonen, Christer Larsson, Pekka Ruusuvuori, Johan Hartman, Mattias Rantalainen
2020 J jnl
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.
CoRR
Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, Pekka Ruusuvuori
2019 — conf
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.
EMBC
Kaisa Liimatainen, Leena Latonen, Kimmo Kartasalo, Pekka Ruusuvuori
2019 J jnl
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.
CoRR
Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund
2019 J jnl
The importance of study design in the application of artificial intelligence methods in medicine.
npj Digit. Medicine
Martin Eklund, Kimmo Kartasalo, Henrik Olsson, Peter Ström
2018 J jnl
Comparative analysis of tissue reconstruction algorithms for 3D histology.
Bioinform.
Kimmo Kartasalo, Leena Latonen, Jorma Vihinen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori
2017 — conf
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology.
ICCV Workshops
Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori
2016 J jnl
A software tool for studying the size and shape of human cardiomyocytes.
Biomed. Signal Process. Control.
Jyrki Rasku, Marisa Ojala, Risto-Pekka Pölönen, Henry Joutsijoki, Yulia Gizatdinova, Jorma Laurikkala, Kimmo Kartasalo, Katriina Aalto-Setälä, Martti Juhola
2016 B conf
Benchmarking of algorithms for 3D tissue reconstruction.
ICIP
Kimmo Kartasalo, Leena Latonen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori
2015 J jnl
CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels.
BMC Bioinform.
Kimmo Kartasalo, Risto-Pekka Pölönen, Marisa Ojala, Jyrki Rasku, Jukka Lekkala, Katriina Aalto-Setälä, Pasi Kallio