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Pekka Ruusuvuori
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2020 – today
- 2024
- [j18]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
- [j17]Joel Honkamaa
Deformation equivariant cross-modality image synthesis with paired non-aligned training data. Medical Image Anal. 90: 102940 (2023) - [j16]Umair Khan, Sonja Koivukoski
The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility. Patterns 4(5): 100725 (2023) - [i10]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) - [i9]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) - [i8]Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala, Pekka Ruusuvuori, Teijo Kuopio:
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning. CoRR abs/2310.16954 (2023) - 2022
- [i7]Joel Honkamaa
Deformation equivariant cross-modality image synthesis with paired non-aligned training data. CoRR abs/2208.12491 (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) - [i5]Liisa Petäinen, Juha P. Väyrynen
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. CoRR abs/2212.14652 (2022) - 2021
- [j15]Nita Mulliqi
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology. Bioinform. 37(21): 3995-3997 (2021) - [j14]Mira Valkonen, Gunilla Högnäs, G. Steven Bova, Pekka Ruusuvuori
Generalized Fixation Invariant Nuclei Detection Through Domain Adaptation Based Deep Learning. IEEE J. Biomed. Health Informatics 25(5): 1747-1757 (2021) - 2020
- [j13]Mira Valkonen, Jorma Isola, Onni Ylinen, Ville Muhonen, Anna Saxlin
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67. IEEE Trans. Medical Imaging 39(2): 534-542 (2020) - [j12]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
- [j11]Kaisa Liimatainen
Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks. BMC Bioinform. 20(1): 80:1-80:10 (2019) - [c18]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
- [j10]Kimmo Kartasalo
Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinform. 34(17): 3013-3021 (2018) - 2017
- [c17]Mira Valkonen, Kimmo Kartasalo
Dual Structured Convolutional Neural Network with Feature Augmentation for Quantitative Characterization of Tissue Histology. ICCV Workshops 2017: 27-35 - 2016
- [c16]Kimmo Kartasalo
Benchmarking of algorithms for 3D tissue reconstruction. ICIP 2016: 2360-2364 - [c15]Kaisa Liimatainen
Supervised method for cell counting from bright field focus stacks. ISBI 2016: 391-394 - 2015
- [j9]Teemu Kumpumäki, Pekka Ruusuvuori, Ville Kangasniemi, Tarmo Lipping
Data-Driven Approach to Benthic Cover Type Classification Using Bathymetric LiDAR Waveform Analysis. Remote. Sens. 7(10): 13390-13409 (2015) - [c14]Tuomas Tikkanen
Training based cell detection from bright-field microscope images. ISPA 2015: 160-164 - 2013
- [j8]Muhammad Farhan, Pekka Ruusuvuori, Mario Emmenlauer, Pauli Rämö, Christoph Dehio
Multi-scale Gaussian representation and outline-learning based cell image segmentation. BMC Bioinform. 14(S-10): S6 (2013) - [c13]Muhammad Farhan, Pekka Ruusuvuori, Mario Emmenlauer, Pauli Rämö, Olli Yli-Harja, Christoph Dehio:
Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening. Image Processing: Algorithms and Systems 2013: 86550F - [c12]Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. MLSP 2013: 1-8 - 2012
- [c11]Heikki Huttunen, Hannu Oinonen, Jyrki Selinummi, Pekka Ruusuvuori, Ville Voipio:
Polynomial pulp fiber modeling. EUSIPCO 2012: 2099-2103 - [c10]Pekka Ruusuvuori, Tapio Manninen, Heikki Huttunen:
Image segmentation using sparse logistic regression with spatial prior. EUSIPCO 2012: 2253-2257 - [c9]Lassi Paavolainen, Pasi Kankaanpää, Pekka Ruusuvuori, Gregory McNerney, Mikko Karjalainen, Varpu Marjomaki
Application independent greedy particle tracking method for 3D fluorescence microscopy image series. ISBI 2012: 672-675 - [c8]Heikki Huttunen
The eighth annual MLSP competition: Second place team. MLSP 2012: 1-2 - 2010
- [j7]Timo Erkkilä, Saara Lehmusvaara
Probabilistic analysis of gene expression measurements from heterogeneous tissues. Bioinform. 26(20): 2571-2577 (2010) - [j6]Pekka Ruusuvuori, Tarmo Äijö
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images. BMC Bioinform. 11: 248 (2010) - [c7]Hannu Oinonen, Heikki Forsvik, Pekka Ruusuvuori, Olli Yli-Harja
Identity verification based on vessel matching from fundus images. ICIP 2010: 4089-4092
2000 – 2009
- 2008
- [j5]Antti Lehmussola, Pekka Ruusuvuori, Jyrki Selinummi, Tiina Rajala, Olli Yli-Harja
Synthetic Images of High-Throughput Microscopy for Validation of Image Analysis Methods. Proc. IEEE 96(8): 1348-1360 (2008) - [c6]Pekka Ruusuvuori, Antti Lehmussola, Jyrki Selinummi, Tiina Rajala, Heikki Huttunen, Olli Yli-Harja:
Benchmark set of synthetic images for validating cell image analysis algorithms. EUSIPCO 2008: 1-5 - [c5]Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Kalle Rutanen, Risto Rönkkä, Ari Visa:
Object detection for dynamic adaptation of interconnections in inkjet printed electronics. ICIP 2008: 2364-2367 - [c4]Pekka Ruusuvuori, Jenni Seppälä, Timo Erkkilä, Antti Lehmussola, Jaakko A. Puhakka, Olli Yli-Harja:
Efficient automated method for image-based classification of microbial cells. ICPR 2008: 1-4 - 2007
- [j4]Antti Niemistö, Matti Nykter, Tommi Aho, Henna Jalovaara, Kalle Marjanen, Miika Ahdesmäki
Computational Methods for Estimation of Cell Cycle Phase Distributions of Yeast Cells. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j3]Antti Lehmussola, Pekka Ruusuvuori, Jyrki Selinummi, Heikki Huttunen
Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations. IEEE Trans. Medical Imaging 26(7): 1010-1016 (2007) - 2006
- [j2]Antti Lehmussola, Pekka Ruusuvuori, Olli Yli-Harja
Evaluating the performance of microarray segmentation algorithms. Bioinform. 22(23): 2910-2917 (2006) - [j1]Matti Nykter, Tommi Aho, Miika Ahdesmäki
Simulation of microarray data with realistic characteristics. BMC Bioinform. 7: 349 (2006) - [c3]Jyrki Selinummi, Pekka Ruusuvuori, Antti Lehmussola, Heikki Huttunen, Olli Yli-Harja
Three-Dimensional Digital Image Analysis of Immunostained Neurons in Thick Tissue Sections. EMBC 2006: 4783-4786 - [c2]Pekka Ruusuvuori, Antti Lehmussola, Olli Yli-Harja
Learning-based method for spot addressing in microarray images. Image Processing: Algorithms and Systems 2006: 416-425 - 2005
- [c1]Antti Lehmussola, Pekka Ruusuvuori, Olli Yli-Harja
Exploring subjective image quality through isopreference curves. ICIP (1) 2005: 413-416
Coauthor Index
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