Kimmo Kartasalo
Kimmo Kartasalo
Doctoral student, Tampere University
Verified email at tuni.fi
Title
Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
6772017
Transcriptome sequencing reveals PCAT5 as a novel ERG-regulated long noncoding RNA in prostate cancer
A Ylipää, K Kivinummi, A Kohvakka, M Annala, L Latonen, M Scaravilli, ...
Cancer research 75 (19), 4026-4031, 2015
462015
Deep learning in image cytometry: a review
A Gupta, PJ Harrison, H Wieslander, N Pielawski, K Kartasalo, G Partel, ...
Cytometry Part A 95 (4), 366-380, 2019
352019
CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels
K Kartasalo, RP Pölönen, M Ojala, J Rasku, J Lekkala, K Aalto-Setälä, ...
BMC bioinformatics 16 (1), 344, 2015
292015
Metastasis detection from whole slide images using local features and random forests
M Valkonen, K Kartasalo, K Liimatainen, M Nykter, L Latonen, ...
Cytometry Part A 91 (6), 555-565, 2017
202017
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
The Lancet Oncology, 2020
122020
Comparative analysis of tissue reconstruction algorithms for 3D histology
K Kartasalo, L Latonen, J Vihinen, T Visakorpi, M Nykter, P Ruusuvuori
Bioinformatics 34 (17), 3013-3021, 2018
72018
Focal adhesion kinase and ROCK signaling are switch-like regulators of human adipose stem cell differentiation towards osteogenic and adipogenic lineages
L Hyväri, M Ojansivu, M Juntunen, K Kartasalo, S Miettinen, S Vanhatupa
Stem cells international 2018, 2018
72018
Dual structured convolutional neural network with feature augmentation for quantitative characterization of tissue histology
M Valkonen, K Kartasalo, K Liimatainen, M Nykter, L Latonen, ...
Proceedings of the IEEE International Conference on Computer Vision …, 2017
72017
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
arXiv preprint arXiv:1907.01368, 2019
42019
A durable and biocompatible ascorbic acid-based covalent coating method of polydimethylsiloxane for dynamic cell culture
J Leivo, S Virjula, S Vanhatupa, K Kartasalo, J Kreutzer, S Miettinen, ...
Journal of The Royal Society Interface 14 (132), 20170318, 2017
42017
Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models
M Valkonen, P Ruusuvuori, K Kartasalo, M Nykter, T Visakorpi, L Latonen
Scientific reports 7, 44831, 2017
32017
Benchmarking of algorithms for 3D tissue reconstruction
K Kartasalo, L Latonen, T Visakorpi, M Nykter, P Ruusuvuori
2016 IEEE International Conference on Image Processing (ICIP), 2360-2364, 2016
22016
3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer
K Liimatainen, L Latonen, K Kartasalo, P Ruusuvuori
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
12019
The utility of artificial intelligence in the assessment of prostate pathology
L Egevad, P Ström, K Kartasalo, H Olsson, H Samaratunga, B Delahunt, ...
Histopathology 76 (6), 790-792, 2020
2020
ANHIR: Automatic Non-rigid Histological Image Registration Challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE Transactions on Medical Imaging, 2020
2020
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks
P Ström, K Kartasalo, P Ruusuvuori, H Grönberg, H Samaratunga, ...
arXiv preprint arXiv:2004.01589, 2020
2020
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration
K Liimatainen, L Latonen, M Valkonen, K Kartasalo, P Ruusuvuori
arXiv preprint arXiv:2003.11148, 2020
2020
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study (vol 21, pg 222, 2020)
P Strom, K Kartasalo, H Olsson
LANCET ONCOLOGY 21 (2), E70-E70, 2020
2020
3D reconstruction and quantitative analysis of histology for prostate cancer
P Ruusuvuori, K Kartasalo, M Valkonen, M Valkonen, T Visakorpi, ...
Cancer Research 79 (13 Supplement), 46-46, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20