ORCID as entered in ROS
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Select Publications
2024, Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images, , http://dx.doi.org/10.48550/arxiv.2406.15727
,2024, MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, , http://dx.doi.org/10.48550/arxiv.2402.11788
,2024, BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion, , http://dx.doi.org/10.48550/arxiv.2402.10717
,2023, Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning, , http://dx.doi.org/10.21203/rs.3.rs-2983276/v1
,2023, hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images, , http://dx.doi.org/10.48550/arxiv.2304.04507
,2023, Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning, , http://dx.doi.org/10.1038/s41598-023-40219-0
,2018, Id proteins promote a cancer stem cell phenotype in triple negative breast cancer via negative regulation of Robo1, , http://dx.doi.org/10.1101/497313
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