Solorzano L

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

TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data

Pielawski N, Andersson A, Avenel C, ..., Solorzano L, Wählby C

- - (-) - [2022-01-28; online 2022-01-28]

Machine learning for cell classification and neighborhood analysis in glioma tissue

Solorzano L, Wik L, Bontell TO, ..., Östman A, Wählby C

- - (-) - [2021-02-27; online 2021-02-27]

Identification of spatial compartments in tissue from in situ sequencing data

Partel G, Hilscher MM, Milli G, ..., Nilsson M, Wählby C

- - (-) - [2019-09-18; online 2019-09-18]

Deep Learning in Image Cytometry: A Review.

Gupta A, Harrison PJ, Wieslander H, ..., Sintorn I, Wählby C

Cytometry A 95 (4) 366-380 [2019-04-00; online 2018-12-19]

DDLS Fellow Kimmo Kartasalo