1 citations · 2 across the 2 of their papers we have counts for
3 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…
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…