Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

Autor: Juan C. Vizcarra, Thomas M. Pearce, Brittany N. Dugger, Michael J. Keiser, Marla Gearing, John F. Crary, Evan J. Kiely, Meaghan Morris, Bartholomew White, Jonathan D. Glass, Kurt Farrell, David A. Gutman

Publikováno v: Acta Neuropathologica Communications, Vol 11, Iss 1, Pp 1-20 (2023)

Abstract Machine learning (ML) has increasingly been used to assist and expand current practices in neuropathology. However, generating large imaging datasets with quality labels is challenging in fields which demand high levels of expertise. Further

Externí odkaz: https://doaj.org/article/b2678bd5981b4644b024934250897893

Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma

Autor: Luyuan Zhang, Felipe Giuste, Juan C. Vizcarra, Xuejun Li, David Gutman

Publikováno v: Frontiers in Oncology, Vol 10 (2020)

MRI in combination with genomic markers are critical in the management of gliomas. Radiomics and radiogenomics analysis facilitate the quantitative assessment of tumor properties which can be used to model both molecular subtype and predict disease p

Externí odkaz: https://doaj.org/article/d17efa3e305c4afcb40eb3c077d962c5

A community-based approach to image analysis of cells, tissues and tumors

Autor: Brian S. White, Yury Goltsev, Clemens B. Hug, Erik A. Burlingame, Artem Sokolov, Juan C. Vizcarra, Darren R. Tyson, Csbc

Publikováno v: Comput Med Imaging Graph

Emerging multiplexed imaging platforms provide an unprecedented view of an increasing number of molecular markers at subcellular resolution and the dynamic evolution of tumor cellular composition. As such, they are capable of elucidating cell-to-cell

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be0764f76f0e9aa4385a4f879de99cd5
https://pubmed.ncbi.nlm.nih.gov/34864359

Image Analysis Pipeline for Renal Allograft Evaluation and Fibrosis Quantification

Autor: Alton B. Farris, Juan C. Vizcarra, Julien Hogan, Lee Cooper, David A. Gutman, Mohamed Amgad

Publikováno v: Kidney International Reports

Introduction Digital pathology improves the standardization and reproducibility of kidney biopsy specimen assessment. We developed a pipeline allowing the analysis of many images without requiring human preprocessing and illustrate its use with a sim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6c7bf11b3cb255898f12e7a6e1e179
https://pubmed.ncbi.nlm.nih.gov/34307982

Validation of machine learning models to detect amyloid pathologies across institutions

Autor: Jonathan D. Glass, Michael J. Keiser, Brittany N. Dugger, Marla Gearing, David A. Gutman, Juan C. Vizcarra

Publikováno v: Acta neuropathologica communications, vol 8, iss 1
Acta Neuropathologica Communications, Vol 8, Iss 1, Pp 1-13 (2020)
Acta Neuropathologica Communications

Semi-quantitative scoring schemes like the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) are the most commonly used method in Alzheimer’s disease (AD) neuropathology practice. Computational approaches based on machine learnin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc336233d5a82d31ab374f741040637
https://escholarship.org/uc/item/1kt0j94f