Research Publications and Outputs: Recent submissions
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Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis
Published 2015-01-01Feature learning with high dimensional neuroimaging features has been explored for the applications on neurodegenerative diseases. Low-dimensional biomarkers, such as mental status test scores and cerebrospinal fluid level, ...Open AccessConference paper -
Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging
Published 2015-11-05Dementia, Alzheimer's disease (AD) in particular is a global problem and big threat to the aging population. An image based computer-aided dementia diagnosis method is needed to providing doctors help during medical image ...Open AccessConference paper -
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT
Published 2017-09-04The classification of benign versus malignant lung nodules using chest CT plays a pivotal role in the early detection of lung cancer and this early detection has the best chance of cure. Although deep learning is now the ...Open AccessConference paper -
Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image
Published 2015-12-19The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images ...Open AccessConference paper -
Reconstruction of 3D neuron morphology using Rivulet back-tracking
Published 2016-06-16The 3D reconstruction of neuronal morphology is a powerful technique for investigating nervous systems. Due to the noises in optical microscopic images, the automated reconstruction of neuronal morphology has been a ...Open AccessConference paper