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Louis J Vaickus

Showing results (41-50 of 53) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: a retrospective assessmentMatthew J Davis, Gokul Srinivasan, Rachael Chacko, et al.
Briefings in Bioinformatics|October 5, 2024
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphologyMichael Y Fatemi, Yunrui Lu, Alos B Diallo, et al.
Experimental Dermatology|October 21, 2023
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessmentMatthew J Davis, Gokul Srinivasan, Rachael Chacko, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics WorkflowsMichael Y Fatemi, Yunrui Lu, Alos B Diallo, et al.
Cancer Cytopathology|June 27, 2026
Accurate focal-plane selection is crucial for artificial intelligence assessment of three-dimensional urine cytology specimens for bladder cancer screening and surveillanceYoseph Sayegh, Brody McNutt, Minh-Khang Le, et al.
Journal of Pathology Informatics|April 28, 2023
Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot studyMichael Fatemi, Eric Feng, Cyril Sharma, et al.
Cancer Cytopathology|June 26, 2023
Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytologyJoshua J Levy, Natt Chan, Jonathan D Marotti, et al.
NPJ Precision Oncology|January 3, 2024
Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical siteJoshua J Levy, Matthew J Davis, Rachael S Chacko, et al.
The American Journal of Pathology|April 10, 2023
Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling ApproachJoshua J Levy, John P Zavras, Eren M Veziroglu, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor HeterogeneityMichael Y Fatemi, Yunrui Lu, Cyril Sharma, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: a retrospective assessmentMatthew J Davis, Gokul Srinivasan, Rachael Chacko, et al.
Briefings in Bioinformatics|October 5, 2024
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphologyMichael Y Fatemi, Yunrui Lu, Alos B Diallo, et al.
Experimental Dermatology|October 21, 2023
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessmentMatthew J Davis, Gokul Srinivasan, Rachael Chacko, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics WorkflowsMichael Y Fatemi, Yunrui Lu, Alos B Diallo, et al.
Cancer Cytopathology|June 27, 2026
Accurate focal-plane selection is crucial for artificial intelligence assessment of three-dimensional urine cytology specimens for bladder cancer screening and surveillanceYoseph Sayegh, Brody McNutt, Minh-Khang Le, et al.
Journal of Pathology Informatics|April 28, 2023
Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot studyMichael Fatemi, Eric Feng, Cyril Sharma, et al.
Cancer Cytopathology|June 26, 2023
Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytologyJoshua J Levy, Natt Chan, Jonathan D Marotti, et al.
NPJ Precision Oncology|January 3, 2024
Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical siteJoshua J Levy, Matthew J Davis, Rachael S Chacko, et al.
The American Journal of Pathology|April 10, 2023
Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling ApproachJoshua J Levy, John P Zavras, Eren M Veziroglu, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor HeterogeneityMichael Y Fatemi, Yunrui Lu, Cyril Sharma, et al.
Pageof 6