Ruusuvuori P

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

Weitz P, Valkonen M, Solorzano L, ..., Ruusuvuori P, Rantalainen M

Med Image Anal 97 (-) 103257 [2024-10-00; online 2024-07-01]

DDLS Fellow Kimmo Kartasalo

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

Weitz P, Valkonen M, Solorzano L, ..., Ruusuvuori P, Rantalainen M

Sci Data 10 (1) 562 [2023-08-24; online 2023-08-24]

DDLS Fellow Kimmo Kartasalo

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction.

Olsson H, Kartasalo K, Mulliqi N, ..., Spjuth O, Eklund M

Nat Commun 13 (1) 7761 [2022-12-15; online 2022-12-15]

DDLS Fellow Kimmo Kartasalo

Detection of perineural invasion in prostate needle biopsies with deep neural networks.

Kartasalo K, Ström P, Ruusuvuori P, ..., Eklund M, Egevad L

Virchows Arch. 481 (1) 73-82 [2022-07-00; online 2022-04-21]

DDLS Fellow Kimmo Kartasalo

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.

Bulten W, Kartasalo K, Chen PC, ..., Eklund M, PANDA challenge consortium

Nat. Med. 28 (1) 154-163 [2022-01-00; online 2022-01-13]

DDLS Fellow Kimmo Kartasalo

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

Mulliqi N, Kartasalo K, Olsson H, ..., Eklund M, Ruusuvuori P

Bioinformatics 37 (21) 3995-3997 [2021-11-05; online 2021-08-07]

DDLS Fellow Kimmo Kartasalo

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

Liimatainen K, Latonen L, Valkonen M, Kartasalo K, Ruusuvuori P

BMC Cancer 21 (1) 1133 [2021-10-22; online 2021-10-22]

DDLS Fellow Kimmo Kartasalo

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.

Wang Y, Kartasalo K, Weitz P, ..., Hartman J, Rantalainen M

Cancer Res. 81 (19) 5115-5126 [2021-10-01; online 2021-08-02]

DDLS Fellow Kimmo Kartasalo