activity
20202024
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 446 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2024

Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort

Apoorva Safai, Erin Jonaitis, Rebecca E Langhough +6

Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patte…

eess.IV2024

ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography

Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn +9

Purpose: To develop and evaluate a transformer-based deep learning model for the synthesis of nephrographic phase images in CT urography (CTU) examinations from the unenhanced and…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

eess.IV2021

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

Marwa Ismail, Prateek Prasanna, Kaustav Bera +10

The concept of tumor field effect implies that cancer is a systemic disease with its impact way beyond the visible tumor confines. For instance, in Glioblastoma (GBM), an aggressiv…

q-bio.QM2020

Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI

Marwa Ismail, Ramon Correa, Kaustav Bera +8

With growing emphasis on personalized cancer-therapies,radiogenomics has shown promise in identifying target tumor mutational status on routine imaging (i.e. MRI) scans. These appr…

q-bio.QM2020

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study

Marwa Ismail, Virginia Hill, Volodymyr Statsevych +9

A significant challenge in Glioblastoma (GBM) management is identifying pseudo-progression (PsP), a benign radiation-induced effect, from tumor recurrence, on routine imaging follo…

eess.IV2020★ 56 cited

MRQy: An Open-Source Tool for Quality Control of MR Imaging Data

Amir Reza Sadri, Andrew Janowczyk, Ren Zou +6

We sought to develop a quantitative tool to quickly determine relative differences in MRI volumes both within and between large MR imaging cohorts (such as available in The Cancer…