D. Shen

Publications
Influence

Lane detection and tracking using B-Snake

Yue Wang, E. Teoh, D. Shen
Computer Science
Image Vis. Comput.
1 April 2004

We proposed a B-Snake based lane detection and tracking algorithm without any cameras' parameters. Expand

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

D. Zhang, D. Shen
Psychology, Computer Science
NeuroImage
16 January 2012

In this paper, we propose a general methodology, namely multi-modal multi-task (M3T) learning, to jointly predict multiple variables from multi-Modal data. Expand

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

C. Davatzikos, Y. Fan, X. Wu, D. Shen, S. Resnick
Psychology, Medicine
Neurobiology of Aging
1 April 2008

We report evidence that computer-based high-dimensional pattern classification of magnetic resonance imaging (MRI) detects patterns of brain structure characterizing mild cognitive impairment (MCI),… Expand

Infant Brain Atlases from Neonates to 1- and 2-Year-Olds

F. Shi, P. Yap, +4 authors D. Shen
Biology, Medicine
PloS one
14 April 2011

Background Studies for infants are usually hindered by the insufficient image contrast, especially for neonates. Prior knowledge, in the form of atlas, can provide additional guidance for the data… Expand

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

C. Davatzikos, K. Ruparel, +5 authors D. Langleben
Psychology, Computer Science
NeuroImage
15 November 2005

High-dimensional non-linear pattern classification methods applied to functional magnetic resonance (fMRI) images were used to discriminate between the spatial patterns of brain activity associated with lie and truth. Expand

Contour Knowledge Transfer for Salient Object Detection

Xin Li, Fan Yang, H. Cheng, W. Liu, D. Shen
Computer Science
ECCV
8 September 2018

We introduce a deep network architecture, namely Contour-to-Saliency Network (C2S-Net), by grafting a new branch onto a well-trained contour detection network. Expand

Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

W. Gao, H. Zhu, +4 authors W. Lin
Biology, Medicine
Proceedings of the National Academy of Sciences
21 April 2009

Several lines of evidence have implicated the existence of the brain's default network during passive or undirected mental states. Nevertheless, results on the emergence of the default network in… Expand

Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers

D. Zhang, D. Shen
Biology, Medicine
PloS one
22 March 2012

Accurate prediction of clinical changes of mild cognitive impairment (MCI) patients, including both qualitative change (i.e., conversion to Alzheimer's disease (AD)) and quantitative change (i.e.,… Expand

Longitudinal development of cortical and subcortical gray matter from birth to 2 years.

J. Gilmore, F. Shi, +7 authors D. Shen
Psychology, Medicine
Cerebral cortex
1 November 2012

Very little is known about cortical development in the first years of life, a time of rapid cognitive development and risk for neurodevelopmental disorders. We studied regional cortical and… Expand

Hierarchical active shape models, using the wavelet transform

C. Davatzikos, Xiaodong Tao, D. Shen
Mathematics, Medicine
IEEE Transactions on Medical Imaging
21 May 2003

This paper presents a method that overcomes this limitation, by using a hierarchical formulation of active shape models, using the wavelet transform, to capture the full range of biological shape variability. Expand

Recommended Authors