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Kimmo Kartasalo
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2020 – today
- 2024
- [j9]Philippe Weitz
, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024) - 2023
- [j8]Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo
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
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
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
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
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
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
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
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. CoRR abs/2003.11148 (2020) - [i3]Peter Ström, Kimmo Kartasalo
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks. CoRR abs/2004.01589 (2020) - [i2]Yinxi Wang, Kimmo Kartasalo
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
The importance of study design in the application of artificial intelligence methods in medicine. npj Digit. Medicine 2 (2019) - [c3]Kaisa Liimatainen
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer. EMBC 2019: 2867-2871 - [i1]Peter Ström, Kimmo Kartasalo
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. CoRR abs/1907.01368 (2019) - 2018
- [j3]Kimmo Kartasalo
Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinform. 34(17): 3013-3021 (2018) - 2017
- [c2]Mira Valkonen, Kimmo Kartasalo
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
A software tool for studying the size and shape of human cardiomyocytes. Biomed. Signal Process. Control. 30: 134-139 (2016) - [c1]Kimmo Kartasalo
Benchmarking of algorithms for 3D tissue reconstruction. ICIP 2016: 2360-2364 - 2015
- [j1]Kimmo Kartasalo
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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