Tuomas Mirtti

Principal Researcher, Pathology, University of Helsinki

Joined

October 2023

Names

Tuomas Mirtti (Preferred)

Emails

****@helsinki.fi (Confirmed)

Personal Links

Career & Education History

Principal Researcher

Pathology, University of Helsinki (helsinki.fi)

2011 – Present

Advisors, Relations & Conflicts

Coauthor

Anant Madabhushi

2022 – Present

Expertise

Computational Pathology

2011 – Present

Pathology

2006 – Present

Prostate cancer

2002 – Present

Publications

Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
Abderrahim Oussama Batouche, Eugen Czeizler, Miika Koskinen, Tuomas Mirtti, Antti Sakari Rannikko
- BIOSTEC (2) 2024
- Readers: Everyone
OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer
Anni S. Halkola, Kaisa Joki, Tuomas Mirtti, Marko M. Mäkelä, Tero Aittokallio, Teemu D. Laajala
- PLoS Comput. Biol. 2023
- Readers: Everyone
Exposing and addressing the fragility of neural networks in digital pathology
Joona Pohjonen, Carolin Stürenberg, Atte Föhr, Esa Pitkänen, Antti Rannikko, Tuomas Mirtti
- CoRR 2022
- Readers: Everyone
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
- 2022 (modified: 08 Nov 2022)
- CoRR 2022
- Readers: Everyone
Training robust deep learning models for medical imaging tasks with spectral decoupling
Joona Pohjonen, Carolin Stürenberg, Antti Rannikko, Tuomas Mirtti, Esa Pitkänen
- CoRR 2021
- Readers: Everyone
Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets
Mika Murtojärvi, Anni S. Halkola, Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala
- Int. J. Medical Informatics 2020
- Readers: Everyone
Improving Prostate Cancer Detection with Breast Histopathology Images
Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, Tuomas Mirtti
- CoRR 2019
- Readers: Everyone

Co-Authors

View all 37 co-authors

Tuomas Mirtti

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Exposing and addressing the fragility of neural networks in digital pathology

Classification of datasets with imputed missing values: does imputation quality matter?

Training robust deep learning models for medical imaging tasks with spectral decoupling

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets

Improving Prostate Cancer Detection with Breast Histopathology Images

Co-Authors