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Louis J Vaickus

Showing results (31-40 of 53) with videos related to

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Cancer Cytopathology|August 23, 2022
Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing techniqueJoshua J Levy, Xiaoying Liu, Jonathan D Marotti, et al.
Digestive Diseases and Sciences|November 19, 2022
Video-Based Deep Learning to Detect Dyssynergic Defecation with 3D High-Definition Anorectal ManometryJoshua J Levy, Christopher M Navas, Joan A Chandra, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology MarkersJoshua J Levy, Carly A Bobak, Mustafa Nasir-Moin, et al.
Journal of the American Society of Cytopathology|October 10, 2021
Using molecular testing to improve the management of thyroid nodules with indeterminate cytology: an institutional experience with review of molecular alterationsRyan E Glass, Jonathan D Marotti, Darcy A Kerr, et al.
Cancer Cytopathology|June 28, 2023
Large-scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis-XJoshua J Levy, Natt Chan, Jonathan D Marotti, et al.
Cancer Cytopathology|October 13, 2015
Impact of reclassifying noninvasive follicular variant of papillary thyroid carcinoma on the risk of malignancy in The Bethesda System for Reporting Thyroid CytopathologyWilliam C Faquin, Lawrence Q Wong, Amir H Afrogheh, et al.
The Science of the Total Environment|September 26, 2018
Identifying aerosolized cyanobacteria in the human respiratory tract: A proposed mechanism for cyanotoxin-associated diseasesDominic N Facciponte, Matthew W Bough, Darius Seidler, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology AnalysisZarif L Azher, Michael Fatemi, Yunrui Lu, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast CancerVibha R Rao, Madhumala K Sadanandappa, Candice C Black, et al.
JAMA Network Open|April 24, 2020
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic SlidesJason W Wei, Arief A Suriawinata, Louis J Vaickus, et al.
Pageof 6

Showing results (31-40 of 53) with videos related to

Sort By:
Pageof 6
Cancer Cytopathology|August 23, 2022
Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing techniqueJoshua J Levy, Xiaoying Liu, Jonathan D Marotti, et al.
Digestive Diseases and Sciences|November 19, 2022
Video-Based Deep Learning to Detect Dyssynergic Defecation with 3D High-Definition Anorectal ManometryJoshua J Levy, Christopher M Navas, Joan A Chandra, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology MarkersJoshua J Levy, Carly A Bobak, Mustafa Nasir-Moin, et al.
Journal of the American Society of Cytopathology|October 10, 2021
Using molecular testing to improve the management of thyroid nodules with indeterminate cytology: an institutional experience with review of molecular alterationsRyan E Glass, Jonathan D Marotti, Darcy A Kerr, et al.
Cancer Cytopathology|June 28, 2023
Large-scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis-XJoshua J Levy, Natt Chan, Jonathan D Marotti, et al.
Cancer Cytopathology|October 13, 2015
Impact of reclassifying noninvasive follicular variant of papillary thyroid carcinoma on the risk of malignancy in The Bethesda System for Reporting Thyroid CytopathologyWilliam C Faquin, Lawrence Q Wong, Amir H Afrogheh, et al.
The Science of the Total Environment|September 26, 2018
Identifying aerosolized cyanobacteria in the human respiratory tract: A proposed mechanism for cyanotoxin-associated diseasesDominic N Facciponte, Matthew W Bough, Darius Seidler, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology AnalysisZarif L Azher, Michael Fatemi, Yunrui Lu, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast CancerVibha R Rao, Madhumala K Sadanandappa, Candice C Black, et al.
JAMA Network Open|April 24, 2020
Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic SlidesJason W Wei, Arief A Suriawinata, Louis J Vaickus, et al.
Pageof 6