Pekka Ruusuvuori

Pekka Ruusuvuori

Turun yliopisto

H-index: 27

Europe-Finland

About Pekka Ruusuvuori

Pekka Ruusuvuori, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Turun yliopisto, specializes in the field of bioimage informatics, machine learning & AI, image analysis, computational pathology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generative AI for virtual HE-staining of whole slide images of unstained breast cancer tissue

Phenotypic single-cell analysis of nuclear stress responses in drug-treated prostate cancer cells

Precise engineering of the biomolecular corona to accelerate the clinical translation of lipid nanoparticles

Virtual staining for histology by deep learning

Platinum-based drugs induce phenotypic alterations in nucleoli and Cajal bodies in prostate cancer cells

Prostate cancer screening with PSA, kallikrein panel, and MRI: the ProScreen randomized trial

Deformation equivariant cross-modality image synthesis with paired non-aligned training data

STAGETOOL, a novel automated approach for mouse testis histological analysis

Pekka Ruusuvuori Information

University

Position

___

Citations(all)

6200

Citations(since 2020)

4622

Cited By

3233

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

52

i10Index(since 2020)

37

Email

University Profile Page

Turun yliopisto

Google Scholar

View Google Scholar Profile

Pekka Ruusuvuori Skills & Research Interests

bioimage informatics

machine learning & AI

image analysis

computational pathology

Top articles of Pekka Ruusuvuori

Title

Journal

Author(s)

Publication Date

Generative AI for virtual HE-staining of whole slide images of unstained breast cancer tissue

Cancer Research

Leena Latonen

Umair Khan

Sonja Koivukoski

Johan Hartman

Pekka Ruusuvuori

2024/3/22

Phenotypic single-cell analysis of nuclear stress responses in drug-treated prostate cancer cells

Cancer Research

Enkhzaya Batnasan

Minttu Kärkkäinen

Sonja Koivukoski

Pekka Ruusuvuori

Leena Latonen

2024/3/22

Precise engineering of the biomolecular corona to accelerate the clinical translation of lipid nanoparticles

Shahed Behzadi

Morteza Mahmoudi

2024/3/13

Virtual staining for histology by deep learning

Leena Latonen

Sonja Koivukoski

Umair Khan

Pekka Ruusuvuori

2024/3/13

Platinum-based drugs induce phenotypic alterations in nucleoli and Cajal bodies in prostate cancer cells

Cancer Cell International

Enkhzaya Batnasan

Minttu Kärkkäinen

Sonja Koivukoski

Nithin Sadeesh

Sylvain Tollis

...

2024/1/13

Prostate cancer screening with PSA, kallikrein panel, and MRI: the ProScreen randomized trial

JAMA

Anssi Auvinen

Teuvo LJ Tammela

Tuomas Mirtti

Hans Lilja

Teemu Tolonen

...

2024/4/6

Deformation equivariant cross-modality image synthesis with paired non-aligned training data

Medical Image Analysis

Joel Honkamaa

Umair Khan

Sonja Koivukoski

Mira Valkonen

Leena Latonen

...

2023/12/1

STAGETOOL, a novel automated approach for mouse testis histological analysis

Endocrinology

Oliver Meikar

Daniel Majoral

Olli Heikkinen

Eero Valkama

Sini Leskinen

...

2023/2/1

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

Plos one

Liisa Petäinen

Juha P Väyrynen

Pekka Ruusuvuori

Ilkka Pölönen

Sami Äyrämö

...

2023/5/26

P10. 14. B PROGRESSION OF IDH-MUTANT ASTROCYTOMAS TO GRADE 4 UNDER TREATMENT-RELATED SELECTION PRESSURE

Neuro-Oncology

KJ Rautajoki

S Jaatinen

A Hartewig

AM Tiihonen

M Annala

...

2023/9/1

Genomic characterization of IDH-mutant astrocytoma progression to grade 4 in the treatment setting

Acta Neuropathologica Communications

Kirsi J Rautajoki

Serafiina Jaatinen

Anja Hartewig

Aliisa M Tiihonen

Matti Annala

...

2023/11/6

The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility

Patterns

Umair Khan

Sonja Koivukoski

Mira Valkonen

Leena Latonen

Pekka Ruusuvuori

2023/5/12

A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics

Scientific Data

Philippe Weitz

Masi Valkonen

Leslie Solorzano

Circe Carr

Kimmo Kartasalo

...

2023/8/24

Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning

arXiv preprint arXiv:2310.16954

Fabi Prezja

Leevi Annala

Sampsa Kiiskinen

Suvi Lahtinen

Timo Ojala

...

2023/10/25

Unstained tissue imaging and virtual hematoxylin and eosin staining of histologic whole slide images

Laboratory Investigation

Sonja Koivukoski

Umair Khan

Pekka Ruusuvuori

Leena Latonen

2023/5/1

Deep Learning–Based Image Analysis of Liver Steatosis in Mouse Models

The American Journal of Pathology

Laura Mairinoja

Hanna Heikelä

Sami Blom

Darshan Kumar

Anna Knuuttila

...

2023/5/24

3D histology data of mouse prostates with manually annotated tumor hotspots

Kaisa Liimatainen

Leena Latonen

Pekka Ruusuvuori

2023/10/24

Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria

Histopathology

Lars Egevad

Brett Delahunt

Kenneth A Iczkowski

Theo van der Kwast

Geert JLH van Leenders

...

2023/5

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

arXiv preprint arXiv:2307.05519

Xiaoyi Ji

Richard Salmon

Nita Mulliqi

Umair Khan

Yinxi Wang

...

2023/7/7

Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions

Scientific Reports

Fabi Prezja

Sami Äyrämö

Ilkka Pölönen

Timo Ojala

Suvi Lahtinen

...

2023/9/23

See List of Professors in Pekka Ruusuvuori University(Turun yliopisto)

Co-Authors

H-index: 79
Holger Hoos

Holger Hoos

Universiteit Leiden

H-index: 41
Johan Hartman

Johan Hartman

Karolinska Institutet

H-index: 38
Nima Aghaeepour

Nima Aghaeepour

Stanford University

H-index: 33
Mattias Rantalainen

Mattias Rantalainen

Karolinska Institutet

H-index: 4
Nita Mulliqi

Nita Mulliqi

Karolinska Institutet

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