5 citations · 13 across the 7 of their papers we have counts for
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Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array
Michael A. Jacobs, Christopher Umbricht, Vishwa Parekh +5
Purpose-Optimal use of established and imaging methods, such as multiparametric magnetic resonance imaging(mpMRI) can simultaneously identify key functional parameters and provide…
Radiomic Synthesis Using Deep Convolutional Neural Networks
Vishwa S. Parekh, Michael A. Jacobs
Radiomics is a rapidly growing field that deals with modeling the textural information present in the different tissues of interest for clinical decision support. However, the proc…
MPRAD: A Multiparametric Radiomics Framework
Vishwa S. Parekh, Michael A. Jacobs
Multiparametric radiological imaging is vital for detection, characterization and diagnosis of many different diseases. The use of radiomics for quantitative extraction of textural…
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results
Vishwa S. Parekh, Katarzyna J. Macura, Susan Harvey +4
A new paradigm is beginning to emerge in Radiology with the advent of increased computational capabilities and algorithms. This has led to the ability of real time learning by comp…