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Michael Yoo Fatemi
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Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study
M Fatemi, E Feng, C Sharma, Z Azher, T Goel, O Ramwala, SM Palisoul, ...
Journal of Pathology Informatics 14, 100308, 2023
82023
Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis
ZL Azher, M Fatemi, Y Lu, G Srinivasan, AB Diallo, BC Christensen, ...
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 29, 464, 2024
32024
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
MY Fatemi, WA Suttle, BM Sadler
arXiv preprint arXiv:2402.06552, 2024
22024
Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining
G Srinivasan, MJ Davis, MR LeBoeuf, M Fatemi, ZL Azher, Y Lu, AB Diallo, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 477-491, 2023
22023
The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows
MY Fatemi, Y Lu, AB Diallo, G Srinivasan, ZL Azher, BC Christensen, ...
medRxiv, 2023.10. 09.23296700, 2023
2023
Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity
MY Fatemi, Y Lu, C Sharma, E Feng, ZL Azher, AB Diallo, G Srinivasan, ...
medRxiv, 2023.10. 09.23296701, 2023
2023
Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
M Fatemi, E Feng, C Sharma, Z Azher, T Goel, O Ramwala, S Palisoul, ...
bioRxiv, 2022.11. 24.517856, 2022
2022
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