38 citations · 39 across the 3 of their papers we have counts for
3 papers
Tumor Connectomics: Mapping the intra-tumoral complex interaction network
Vishwa S. Parekh, Michael A. Jacobs
Tumors are extremely heterogeneous and comprise of a number of intratumor microenvironments or sub-regions. These tumor microenvironments may interact with eac based on complex hig…
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…
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…