Leslie Solorzano
Senior research engineer at Institutionen för informationsteknologi; Vi3; Bildanalys
- E-mail:
- leslie.solorzano@it.uu.se
- Visiting address:
- Hus 10, Lägerhyddsvägen 1
- Postal address:
- Box 337
751 05 UPPSALA
Postdoctoral position at Institutionen för immunologi, genetik och patologi; Forskningsprogram: Cancerprecisionsmedicin; Forskargrupp Sanja Vickovic
- E-mail:
- leslie.solorzano@igp.uu.se
- Visiting address:
- Dag Hammarskjölds väg 20
751 85 Uppsala - Postal address:
- Rudbecklaboratoriet
751 85 Uppsala
- ORCID:
- 0000-0001-8658-6417
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Research
Computer scientist turned to Computational Pathology. Personal website: lesliemachine.se/
Publications
Selection of publications
- Towards automatic protein co-expression quantification in immunohistochemical TMA slides (2021)
- TissUUmaps (2020)
- Artificial intelligence for diagnosis and grading of prostate cancer in biopsies (2020)
- Deep Learning in Image Cytometry (2019)
- Whole Slide Image Registration for the Study of Tumor Heterogeneity (2018)
Recent publications
- TissUUmaps 3 (2023)
- Improved breast cancer histological grading using deep learning (2022)
- Comparison of East‐Asia and West‐Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness (2021)
- Image Processing, Machine Learning and Visualization for Tissue Analysis (2021)
- Towards automatic protein co-expression quantification in immunohistochemical TMA slides (2021)
All publications
Articles
- TissUUmaps 3 (2023)
- Improved breast cancer histological grading using deep learning (2022)
- Comparison of East‐Asia and West‐Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness (2021)
- Towards automatic protein co-expression quantification in immunohistochemical TMA slides (2021)
- Machine learning for cell classification and neighborhood analysis in glioma tissue (2021)
- Automated identification of the mouse brain’s spatial compartments from in situ sequencing data (2020)
- TissUUmaps (2020)
- Artificial intelligence for diagnosis and grading of prostate cancer in biopsies (2020)
- Deep Learning in Image Cytometry (2019)
- Voxel-wise assessment of lung aeration changes on CT images using image registration: a (2019)
- Identification of spatial compartments in tissue from in situ sequencing data
- TissUUmaps 3
- Pathologist-Level Grading of Prostate Biospies with Artificial intelligence
Books
Conferences
