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06/11/2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
Data availability plays a critical role for the performance of deep lear...
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03/19/2018
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections
Segmentation and quantification of white matter hyperintensities (WMHs) ...
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06/12/2017
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images
Pathological lung segmentation (PLS) is an important, yet challenging, m...
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01/19/2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Accurately predicting and detecting interstitial lung disease (ILD) patt...
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09/21/2016
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Computed tomography imaging is a standard modality for detecting and ass...
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07/11/2014
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Low-resolution and signal-dependent noise distribution in positron emiss...
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07/11/2014
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Accurate delineation of pathological lungs from computed tomography (CT)...
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07/11/2014
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans
Accurate and fast extraction of lung volumes from computed tomography (C...
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06/26/2011