Pekka Ruusuvuori

Orcid: 0000-0001-9086-9591

According to our database1, Pekka Ruusuvuori authored at least 45 papers between 2005 and 2023.

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Bibliography

2023
Deformation equivariant cross-modality image synthesis with paired non-aligned training data.
Medical Image Anal., December, 2023

The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility.
Patterns, May, 2023

Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning.
CoRR, 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

2022
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer.
CoRR, 2022

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

Deformation equivariant cross-modality image synthesis with paired non-aligned training data.
CoRR, 2022

2021
Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology.
Bioinform., 2021

2020
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.
IEEE Trans. Medical Imaging, 2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
IEEE Trans. Medical Imaging, 2020

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

Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks.
CoRR, 2020

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.
CoRR, 2020

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

Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks.
BMC Bioinform., 2019

3D-Printed Whole Prostate Models with Tumor Hotspots Using Dual-Extruder Printer.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Comparative analysis of tissue reconstruction algorithms for 3D histology.
Bioinform., 2018

2017
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Supervised method for cell counting from bright field focus stacks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Benchmarking of algorithms for 3D tissue reconstruction.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Data-Driven Approach to Benthic Cover Type Classification Using Bathymetric LiDAR Waveform Analysis.
Remote. Sens., 2015

Training based cell detection from bright-field microscope images.
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

2013
Multi-scale Gaussian representation and outline-learning based cell image segmentation.
BMC Bioinform., 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening.
Proceedings of the Image Processing: Algorithms and Systems XI, 2013

2012
The eighth annual MLSP competition: Second place team.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Application independent greedy particle tracking method for 3D fluorescence microscopy image series.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Image segmentation using sparse logistic regression with spatial prior.
Proceedings of the 20th European Signal Processing Conference, 2012

Polynomial pulp fiber modeling.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images.
BMC Bioinform., 2010

Probabilistic analysis of gene expression measurements from heterogeneous tissues.
Bioinform., 2010

Identity verification based on vessel matching from fundus images.
Proceedings of the International Conference on Image Processing, 2010

2008
Synthetic Images of High-Throughput Microscopy for Validation of Image Analysis Methods.
Proc. IEEE, 2008

Efficient automated method for image-based classification of microbial cells.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Object detection for dynamic adaptation of interconnections in inkjet printed electronics.
Proceedings of the International Conference on Image Processing, 2008

Benchmark set of synthetic images for validating cell image analysis algorithms.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations.
IEEE Trans. Medical Imaging, 2007

Computational Methods for Estimation of Cell Cycle Phase Distributions of Yeast Cells.
EURASIP J. Bioinform. Syst. Biol., 2007

2006
Simulation of microarray data with realistic characteristics.
BMC Bioinform., 2006

Evaluating the performance of microarray segmentation algorithms.
Bioinform., 2006

Learning-based method for spot addressing in microarray images.
Proceedings of the Image Processing: Algorithms and Systems IV, 2006

Three-Dimensional Digital Image Analysis of Immunostained Neurons in Thick Tissue Sections.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Exploring subjective image quality through isopreference curves.
Proceedings of the 2005 International Conference on Image Processing, 2005


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