Pekka Ruusuvuori
pekka.ruusuvuori@utu.fi +358 29 450 2132 +358 50 472 1830 Kiinamyllynkatu 10 Turku |
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- STAGETOOL, a Novel Automated Approach for Mouse Testis Histological Analysis (2023)
- Endocrinology
- The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility (2023)
- Patterns
- Unstained Tissue Imaging and Virtual Hematoxylin and Eosin Staining of Histologic Whole Slide Images (2023)
- Laboratory Investigation
- Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge (2022)
- Nature Medicine
- Detection of perineural invasion in prostate needle biopsies with deep neural networks (2022)
- Virchows Archiv
- Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction (2022)
- Nature Communications
- H&E Multi-Laboratory Staining Variance Exploration with Machine Learning (2022)
- Applied Sciences
- miR-32 promotes MYC-driven prostate cancer (2022)
- Oncogenesis
- Parametric modeling in biomedical image synthesis (2022) Biomedical Image Synthesis and Simulation: Methods and Applications Ruusuvuori Pekka
- Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment (2022)
- Heliyon
- Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps (2021)
- European Urology Focus
- Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe (2021)
- European Journal of Cancer
- Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns (2021)
- Biomolecules
- Generalized fixation invariant nuclei detection through domain adaptation based deep learning (2021)
- IEEE Journal of Biomedical and Health Informatics
- Interobserver reproducibility of perineural invasion of prostatic adenocarcinoma in needle biopsies (2021)
- Virchows Archiv
- OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology (2021)
- Bioinformatics
- Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer (2021)
- Cancer Research
- The emerging role of artificial intelligence in the reporting of prostate pathology (2021)
- Pathology
- Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration (2021)
- BMC Cancer
- ANHIR: Automatic Non-Rigid Histological Image Registration Challenge (2020)
- IEEE Transactions on Medical Imaging
UTU Research Portal