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Bioinformatics (Oxford, England)
|
May 26, 2020
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data
Leslie Solorzano, Gabriele Partel, Carolina Wählby
Heliyon
|
July 18, 2024
Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images
Leslie Solorzano, Stephanie Robertson, Balazs Acs, et al.
BMC Biology
|
October 20, 2020
Automated identification of the mouse brain's spatial compartments from in situ sequencing data
Gabriele Partel, Markus M Hilscher, Giorgia Milli, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 6, 2020
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides
Leslie Solorzano, Carla Pereira, Diana Martins, et al.
Heliyon
|
May 3, 2023
TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Nicolas Pielawski, Axel Andersson, Christophe Avenel, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
June 5, 2021
Machine learning for cell classification and neighborhood analysis in glioma tissue
Leslie Solorzano, Lina Wik, Thomas Olsson Bontell, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
December 20, 2018
Deep Learning in Image Cytometry: A Review
Anindya Gupta, Philip J Harrison, Håkan Wieslander, et al.
Scientific Data
|
August 24, 2023
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Philippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
International Journal of Cancer
|
November 9, 2021
Comparison of East-Asia and West-Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness
Carla Pereira, Ji-Hyeon Park, Sofia Campelos, et al.
The Lancet. Oncology
|
January 14, 2020
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
Peter Ström, Kimmo Kartasalo, Henrik Olsson, et al.
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Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
May 26, 2020
TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data
Leslie Solorzano, Gabriele Partel, Carolina Wählby
Heliyon
|
July 18, 2024
Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images
Leslie Solorzano, Stephanie Robertson, Balazs Acs, et al.
BMC Biology
|
October 20, 2020
Automated identification of the mouse brain's spatial compartments from in situ sequencing data
Gabriele Partel, Markus M Hilscher, Giorgia Milli, et al.
IEEE Journal of Biomedical and Health Informatics
|
August 6, 2020
Towards Automatic Protein Co-Expression Quantification in Immunohistochemical TMA Slides
Leslie Solorzano, Carla Pereira, Diana Martins, et al.
Heliyon
|
May 3, 2023
TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Nicolas Pielawski, Axel Andersson, Christophe Avenel, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
June 5, 2021
Machine learning for cell classification and neighborhood analysis in glioma tissue
Leslie Solorzano, Lina Wik, Thomas Olsson Bontell, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
December 20, 2018
Deep Learning in Image Cytometry: A Review
Anindya Gupta, Philip J Harrison, Håkan Wieslander, et al.
Scientific Data
|
August 24, 2023
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Philippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
International Journal of Cancer
|
November 9, 2021
Comparison of East-Asia and West-Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness
Carla Pereira, Ji-Hyeon Park, Sofia Campelos, et al.
The Lancet. Oncology
|
January 14, 2020
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
Peter Ström, Kimmo Kartasalo, Henrik Olsson, et al.
Page
of 2