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Scott M Palisoul

Showing results (1-10 of 16) with videos related to

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Melanoma Research|April 21, 2026
Expression and prognostic value of cyclase-associated proteins in cutaneous melanomaWeijie Ma, Jiexi Wen, Catherine Y Liu, et al.
Journal of Biomedical Optics|January 10, 2021
Visualization and quantification of pancreatic tumor stroma in fresh tissue via ultraviolet surface excitationPhuong Vincent, Petr Bruza, Scott M Palisoul, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry ImagesVibha R Rao, Adrienne A Workman, Scott M Palisoul, 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.
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.
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.
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.
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.
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.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Melanoma Research|April 21, 2026
Expression and prognostic value of cyclase-associated proteins in cutaneous melanomaWeijie Ma, Jiexi Wen, Catherine Y Liu, et al.
Journal of Biomedical Optics|January 10, 2021
Visualization and quantification of pancreatic tumor stroma in fresh tissue via ultraviolet surface excitationPhuong Vincent, Petr Bruza, Scott M Palisoul, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry ImagesVibha R Rao, Adrienne A Workman, Scott M Palisoul, 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.
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.
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.
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.
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.
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.
Pageof 2