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ORCIDMattias Rantalainen
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2020 – today
- 2024
[j7]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)- [i10]Abhinav Sharma, Bojing Liu, Mattias Rantalainen:
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology. CoRR abs/2403.15238 (2024) - [i9]Yujie Xiang, Bojing Liu, Mattias Rantalainen:
Deep Blur Multi-Model (DeepBlurMM) - a strategy to mitigate the impact of image blur on deep learning model performance in histopathology image analysis. CoRR abs/2405.09298 (2024) - 2023
- [i8]Philippe Weitz, Viktoria Sartor, Balazs Acs, Stephanie Robertson, Daniel Budelmann, Johan Hartman, Mattias Rantalainen:
Increasing the usefulness of already existing annotations through WSI registration. CoRR abs/2303.06727 (2023) - [i7]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) - [i6]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
- [j6]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) - [i5]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
- [c1]Philippe Weitz, Yinxi Wang, Johan Hartman, Mattias Rantalainen:
An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives. ICCVW 2021: 611-619 - [i4]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) - [i3]Bojing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen:
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies. CoRR abs/2106.14256 (2021) - 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
- [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
- [j5]Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Yudi Pawitan, Mattias Rantalainen:
Isoform-level gene expression patterns in single-cell RNA-sequencing data. Bioinform. 34(14): 2392-2400 (2018) - 2017
- [j4]Ola Spjuth, Andreas Karlsson, Mark Clements, Keith Humphreys, Emma Ivansson, Jim Dowling, Martin Eklund, Alexandra Jauhiainen, Kamila Czene, Henrik Gronberg, Pär Sparén, Fredrik Wiklund, Abbas Cheddad, þorgerður Pálsdóttir, Mattias Rantalainen, Linda Abrahamsson, Erwin Laure, Jan-Eric Litton, Juni Palmgren:
E-Science technologies in a workflow for personalized medicine using cancer screening as a case study. J. Am. Medical Informatics Assoc. 24(5): 950-957 (2017) - 2016
- [j3]Trung-Nghia Vu, Quin F. Wills, Krishna R. Kalari, Nifang Niu, Liewei Wang, Mattias Rantalainen, Yudi Pawitan:
Beta-Poisson model for single-cell RNA-seq data analyses. Bioinform. 32(14): 2128-2135 (2016)
2000 – 2009
- 2008
- [j2]Max Bylesjö, Mattias Rantalainen, Jeremy K. Nicholson, Elaine Holmes, Johan Trygg:
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space. BMC Bioinform. 9 (2008) - [j1]Mattias Rantalainen, Olivier Cloarec, Timothy M. D. Ebbels, Torbjörn Lundstedt, Jeremy K. Nicholson, Elaine Holmes, Johan Trygg:
Piecewise multivariate modelling of sequential metabolic profiling data. BMC Bioinform. 9 (2008)
Coauthor Index
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