Pathology Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis. December 31, 2023
Genomics | Oncology | Pathology The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows. October 24, 2023
Oncology | Pathology Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. July 22, 2023
Bioinformatics | Oncology | Pathology Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study. April 28, 2023
Biomedical Informatics | Neurology | Oncology MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks. August 21, 2021
Bioinformatics | Computational Biology | Epigenetics MethylNet: an automated and modular deep learning approach for DNA methylation analysis. March 20, 2020
Pathology PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology. December 4, 2019