Kimmo Kartasalo

According to our database, Kimmo Kartasalo authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

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

Medical Image Anal., 2024

2023

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

Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo, Hanna M. G. Barriga, Petter Ranefall, Margaret N. Holme, Molly M. Stevens

BMC Bioinform., December, 2023

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

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

CoRR, 2023

2022

ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.

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

CoRR, 2022

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

Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

Bioinform., 2022

2021

Machine Learning and 3D Reconstruction Methods for Computational Pathology.

Kimmo Kartasalo

PhD thesis, 2021

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

Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori

Bioinform., 2021

2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.

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

IEEE Trans. Medical Imaging, 2020

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer.

Yinxi Wang, Kimmo Kartasalo, Masi Valkonen, Christer Larsson, Pekka Ruusuvuori, Johan Hartman, Mattias Rantalainen

CoRR, 2020

Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks.

Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund

CoRR, 2020

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.

Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, Pekka Ruusuvuori

CoRR, 2020

2019

The importance of study design in the application of artificial intelligence methods in medicine.

Martin Eklund, Kimmo Kartasalo, Henrik Olsson, Peter Ström

npj Digit. Medicine, 2019

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.

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

CoRR, 2019

3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.

Kaisa Liimatainen, Leena Latonen, Kimmo Kartasalo, Pekka Ruusuvuori

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Comparative analysis of tissue reconstruction algorithms for 3D histology.

Kimmo Kartasalo, Leena Latonen, Jorma Vihinen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori

Bioinform., 2018

2017

Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology.

Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

A software tool for studying the size and shape of human cardiomyocytes.

Jyrki Rasku, Marisa Ojala, Risto-Pekka Pölönen, Henry Joutsijoki, Yulia Gizatdinova, Jorma Laurikkala, Kimmo Kartasalo, Katriina Aalto-Setälä, Martti Juhola

Biomed. Signal Process. Control., 2016

Benchmarking of algorithms for 3D tissue reconstruction.

Kimmo Kartasalo, Leena Latonen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels.

Kimmo Kartasalo, Risto-Pekka Pölönen, Marisa Ojala, Jyrki Rasku, Jukka Lekkala, Katriina Aalto-Setälä, Pasi Kallio

BMC Bioinform., 2015