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Zarif L Azher

Showing results (1-10 of 6) with videos related to

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Biodata Mining|July 22, 2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognosticationZarif L Azher, Anish Suvarna, Ji-Qing Chen, 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.
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.
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.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine StainingGokul Srinivasan, Matthew J Davis, Matthew R LeBoeuf, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Biodata Mining|July 22, 2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognosticationZarif L Azher, Anish Suvarna, Ji-Qing Chen, 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.
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.
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.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine StainingGokul Srinivasan, Matthew J Davis, Matthew R LeBoeuf, et al.
Pageof 1