7 citations · 18 across the 5 of their papers we have counts for
5 papers
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Mario Buty, Ziyue Xu, Mingchen Gao +3
Computed tomography imaging is a standard modality for detecting and assessing lung cancer. In order to evaluate the malignancy of lung nodules, clinical practice often involves ex…
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Low-resolution and signal-dependent noise distribution in positron emission tomography (PET) images makes denoising process an inevitable step prior to qualitative and quantitative…
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Accurate delineation of pathological lungs from computed tomography (CT) images remains mostly unsolved because available methods fail to provide a reliable generic solution due to…
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans
Awais Mansoor, Ulas Bagci, Brent Foster +5
Accurate and fast extraction of lung volumes from computed tomography (CT) scans remains in a great demand in the clinical environment because the available methods fail to provide…
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems
Ulas Bagci, Jianhua Yao, Jesus Caban +3
Although radiologists can employ CAD systems to characterize malignancies, pulmonary fibrosis and other chronic diseases; the design of imaging techniques to quantify infectious di…