Mattias Rantalainen

Orcid: 0000-0002-7740-2986

According to our database1, Mattias Rantalainen authored at least 14 papers between 2008 and 2023.

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Bibliography

2023
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis.
CoRR, 2023

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.
CoRR, 2023

Increasing the usefulness of already existing annotations through WSI registration.
CoRR, 2023

2022
ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology.
CoRR, 2022

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
Bioinform., 2022

2021
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.
CoRR, 2021

An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer.
CoRR, 2020

2019
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.
CoRR, 2019

2018
Isoform-level gene expression patterns in single-cell RNA-sequencing data.
Bioinform., 2018

2017
E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.
J. Am. Medical Informatics Assoc., 2017

2016
Beta-Poisson model for single-cell RNA-seq data analyses.
Bioinform., 2016

2008
Piecewise multivariate modelling of sequential metabolic profiling data.
BMC Bioinform., 2008

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space.
BMC Bioinform., 2008


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