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 | 8 | 2023 |
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 | 3 | 2024 |
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks MY Fatemi, WA Suttle, BM Sadler arXiv preprint arXiv:2402.06552, 2024 | 2 | 2024 |
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 | 2 | 2023 |
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 |