13 citations · 42 across the 10 of their papers we have counts for
11 papers
MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis
Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen +6
High-resolution volumetric computed tomography (CT) is essential for accurate diagnosis and treatment planning in thoracic diseases; however, it is limited by radiation dose and ha…
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC
Marc Boubnovski Martell, Kristofer Linton-Reid, Sumeet Hindocha +9
The rich chemical information from tissue metabolomics provides a powerful means to elaborate tissue physiology or tumor characteristics at cellular and tumor microenvironment leve…
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
Michael Komodromos, Eric Aboagye, Marina Evangelou +2
Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often e…
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid +3
Automated lobar segmentation allows regional evaluation of lung disease and is important for diagnosis and therapy planning. Advanced statistical workflows permitting such evaluati…
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment
Fahdi Kanavati, Shah Islam, Zohaib Arain +2
Objective: To demonstrate the effectiveness of using a deep learning-based approach for a fully automated slice-based measurement of muscle mass for assessing sarcopenia on CT scan…
Label-Free Chemical Nano-Imaging of Intracellular Drug Binding Sites
William S. Hart, Hemmel Amrania, Alice Beckley +7
Optical microscopy has a diffraction limited resolution of about 250 nm. Fluorescence methods (e.g. PALM, STORM, STED) beat this, but they are still limited to 10 s of nm, and the…