GONG Tianxia

Robust Modelling and Analysis of Vascular Geometries from Biomedical Images

Published date : 15 Feb 2016

In this paper, a robust computational framework is proposed for the modelling and analysis of vascular geometries from biomedical images. The approach consists of the segmentation of vascular geometries using an active contour model and the extraction of geometric features. A robust image feature is derived based on geometric interactions between the active contour model and the image object boundaries. The derived image feature uses voxel interactions across the image domain, and gives a coherent representation of the vessel shapes in the image.

type
Conference Paper/Poster
journal
Proceedings of the IASTED International Conference in Biomedical Engineering (BioMed) 2016, 832-024. February 2016

Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System

Published date : 09 Sep 2015

Linear data regression is a fundamental mathematical tool in engineering and applied sciences. However, for complex nonlinear phenomena, the standard linear least-squares regression may prove ineffective, hence calling for more involved data modeling techniques. The current research work investigates in particular nonlinear statistical regression of bivariate data that do not exhibit a monotonic dependency. The current contribution proposes a neural-network-based data processing method, termed data monotonization, followed by neural isotonic statistical regression.

type
Journal Paper
journal
Cognitive Computation, Dec 2105, Vol. 7, Issue 6, pg 715-770, doi: 10.1007/s12559-015-9353-9
Impact Factor
1.44

Myopia in Asian Subjects with Primary Angle Closure: Implications for Glaucoma Trends in East Asia

Published date : 25 Mar 2014

PURPOSE:
To evaluate the occurrence of myopia in Asian subjects with angle closure and to assess the ocular biometric parameters in these subjects.

DESIGN:
Cross-sectional study.

PARTICIPANTS:
We prospectively recruited 427 angle-closure subjects (143 primary angle-closure suspects, 75 patients with primary angle closure, 165 patients with primary angle-closure glaucoma, and 44 patients with acute primary angle closure) from a Singapore hospital.

METHODS:

type
Journal Paper
journal
Ophthalmology, Volume 121, Issue 8, August 2014, Pages 1566–1571

Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries

Published date : 04 Nov 2013

Computer aided diagnosis (CAD) in medical imagaging is of growing interest in recent years. Our proposed CAD system aims to enhance diagnosis and prognosis of traumatic brain injury (TBI) patients with hematomas. Hematoma caused by blood vessel rupture is the major lesion in TBI cases and

type
Conference Paper/Poster
journal
IEEE International Conference on Tools with Artificial Intelligence (ICTAI Nov 2013, 4-6 Nov 2013, Washington DC, USA)

Subgrouping of Primary Angle-Closure Suspects Based on Anterior Segment Optical Coherence Tomography Parameters

Published date : 05 Aug 2013

PURPOSE:
To identify subgroups of primary angle-closure suspects (PACS) based on anterior segment optical coherence tomography (AS-OCT) and biometric parameters.

DESIGN:
Cross-sectional study.

PARTICIPANTS:
We evaluated 243 PACS subjects in the primary group and 165 subjects in the validation group.

METHODS:

type
Journal Paper
journal
Ophthalmology 2013 Dec;120(12):2525-31. doi: 10.1016/j.ophtha.2013.05.028
Impact Factor
5.563

Unsupervised medical image classification by combining case-based classifiers

Published date : 01 Aug 2013

We introduce an automated pathology classification system for medical volumetric brain image slices. Existing work often relies on handcrafted features extracted from automatic image segmentation. This is not only a challenging and time-consuming process, but it may also limit the adaptability and robustness of the system. We propose a novel approach to combine sparse Gabor-feature based classifiers in an ensemble classification framework. The unsupervised nature of this non-parametric technique can significantly reduce the time and effort for system calibration.

type
Conference Paper/Poster
journal
In Proceedings of the 14th World Congress on Health and Biomedical Informatics (MEDINFO 2013), Copenhagen, Denmark, Aug 2013

Anterior Segment Optical Coherence Tomography Parameters in Subtypes of Primary Angle Closure

Published date : 20 Jun 2013

PURPOSE. To compare anterior segment parameters, assessed by anterior segment optical coherence tomography (ASOCT), in subjects categorized as primary angle closure suspect (PACS), primary angle closure (PAC), primary angle closure glaucoma (PACG), and previous acute PAC (APAC); and to identify factors associated with APAC.

type
Journal Paper
journal
Investigative Ophthalmology & Visual Science, June 20, 2013, 54, Pg 5281-5286 doi: 10.1167/iovs.13-12285
Impact Factor
3.441