Name
Affiliation
Papers
SHEIDA NABAVI
Carnegie Mellon Univ, Ctr Data Storage Syst, Pittsburgh, PA 15213 USA
23
Collaborators
Citations 
PageRank 
33
18
8.68
Referers 
Referees 
References 
62
365
104
Search Limit
100365
Title
Citations
PageRank
Year
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review10.362021
Single-Cell Classification Using Graph Convolutional Networks00.342021
Convolutional neural network for automated mass segmentation in mammography00.342020
Preprocessing Sequence Coverage Data for Precise Detection of Copy Number Variations.00.342020
Integrative Deep Learning for PanCancer Molecular Subtype Classification Using Histopathological Images and RNAseq Data00.342020
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data.00.342019
Residual Deep Learning System for Mass Segmentation and Classification in Mammography.10.402019
Deep convolutional neural networks for mammography: advances, challenges and applications.30.382019
Copy Number Variation Detection Using Total Variation.00.342019
Single-cell Clustering Based on Word Embedding and Nonparametric Methods.00.342018
Predictive Meta-Analysis Of Multiple Microarray Datasets: An Application To Classification Of Malignant Gliomas00.342018
Copy Number Variation Detection Using Partial Alignment Information00.342018
Noise cancellation using total variation for copy number variation detection.00.342018
Convolutional Neural Network for Automated Mass Segmentation in Mammography10.352018
Varsimlab: A Docker-based Pipeline to Automatically Synthesize Short Reads with Genomic Aberrations00.342017
An evaluation of copy number variation detection tools for cancer using whole exome sequencing data.40.472017
Differential gene expression analysis in single-cell RNA sequencing data00.342017
Bias and Noise Cancellation for Robust Copy Number Variation Detection00.342017
Noise cancellation for robust copy number variation detection using next generation sequencing data00.342017
EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes.40.462016
Earth Mover'S Distance For Differential Analysis Of Heterogeneous Genomics Data00.342015
An Analytical Approach for Performance Evaluation of Bit-Patterned Media Channels30.422010
Mitigating the Effects of Track Mis-Registration in Bit-Patterned Media10.772008