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2020 – today
- 2024
[j9]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:
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024)- 2023
- [j8]Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo, Hanna M. G. Barriga, Petter Ranefall, Margaret N. Holme, Molly M. Stevens:
RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy. BMC Bioinform. 24(1): 237 (2023) - [i8]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:
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - [i7]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:
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. CoRR abs/2307.05519 (2023) - 2022
- [j7]Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen:
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks. Bioinform. 38(13): 3462-3469 (2022) - [i6]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:
ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology. CoRR abs/2211.13621 (2022) - 2021
- [b1]Kimmo Kartasalo:
Machine Learning and 3D Reconstruction Methods for Computational Pathology. University of Tampere, Finland, 2021 - [j6]Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, Xiaoyi Ji, Lars Egevad, Martin Eklund, Pekka Ruusuvuori:
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology. Bioinform. 37(21): 3995-3997 (2021) - [i5]Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen:
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks. CoRR abs/2104.09310 (2021) - 2020
- [j5]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:
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [i4]Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, Pekka Ruusuvuori:
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. CoRR abs/2003.11148 (2020) - [i3]Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund:
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks. CoRR abs/2004.01589 (2020) - [i2]Yinxi Wang, Kimmo Kartasalo, Masi Valkonen, Christer Larsson, Pekka Ruusuvuori, Johan Hartman, Mattias Rantalainen:
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer. CoRR abs/2009.08917 (2020)
2010 – 2019
- 2019
- [j4]Martin Eklund, Kimmo Kartasalo, Henrik Olsson, Peter Ström:
The importance of study design in the application of artificial intelligence methods in medicine. npj Digit. Medicine 2 (2019) - [c3]Kaisa Liimatainen, Leena Latonen, Kimmo Kartasalo, Pekka Ruusuvuori:
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer. EMBC 2019: 2867-2871 - [i1]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:
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR abs/1907.01368 (2019) - 2018
- [j3]Kimmo Kartasalo, Leena Latonen, Jorma Vihinen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori:
Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinform. 34(17): 3013-3021 (2018) - 2017
- [c2]Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori:
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology. ICCV Workshops 2017: 27-35 - 2016
- [j2]Jyrki Rasku, Marisa Ojala, Risto-Pekka Pölönen, Henry Joutsijoki, Yulia Gizatdinova, Jorma Laurikkala, Kimmo Kartasalo, Katriina Aalto-Setälä, Martti Juhola:
A software tool for studying the size and shape of human cardiomyocytes. Biomed. Signal Process. Control. 30: 134-139 (2016) - [c1]Kimmo Kartasalo, Leena Latonen, Tapio Visakorpi, Matti Nykter, Pekka Ruusuvuori:
Benchmarking of algorithms for 3D tissue reconstruction. ICIP 2016: 2360-2364 - 2015
- [j1]Kimmo Kartasalo, Risto-Pekka Pölönen, Marisa Ojala, Jyrki Rasku, Jukka Lekkala, Katriina Aalto-Setälä, Pasi Kallio:
CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels. BMC Bioinform. 16: 344:1-344:23 (2015)
Coauthor Index
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