Wee Leow - Academia.edu (original) (raw)

Papers by Wee Leow

The international journal of medical robotics + computer assisted surgery : MRCAS, Jan 30, 2018

Skull reconstruction is an important and challenging task in craniofacial surgery planning, foren... more Skull reconstruction is an important and challenging task in craniofacial surgery planning, forensic investigation and anthropological studies. Existing methods typically reconstruct approximating surfaces that regard corresponding points on the target skull as soft constraints, thus incurring non-zero error even for non-defective parts and high overall reconstruction error. This paper proposes a novel geometric reconstruction method that non-rigidly registers an interpolating reference surface that regards corresponding target points as hard constraints, thus achieving low reconstruction error. To overcome the shortcoming of interpolating a surface, a flip-avoiding method is used to detect and exclude conflicting hard constraints that would otherwise cause surface patches to flip and self-intersect. Comprehensive test results show that our method is more accurate and robust than existing skull reconstruction methods. By incorporating symmetry constraints, it can produce more symmet...

Ijcai, 2003

... increasing number of robots and sensing range. References [Low et al., 2002] KH Low, WK Leow,... more ... increasing number of robots and sensing range. References [Low et al., 2002] KH Low, WK Leow, and MH Ang Jr. A hybrid mobile robot architecture with integrated plan-ning and control. In Proc. AAMAS, pages 219–226, 2002.

IEEE International Conference on Image Processing 2005, 2005

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2009

Histopathological examination is a powerful method for prognosis of major diseases such as breast... more Histopathological examination is a powerful method for prognosis of major diseases such as breast cancer. Analysis of medical images largely remains the work of human experts. Current virtual microscope systems are mainly an emulation of real microscopes with annotation and some image analysis capabilities. However, the lack of effective knowledge management prevents such systems from being computer-aided prognosis platforms. The cognitive virtual microscopic framework, through an extended modeling and use of medical knowledge, has the capacity to analyse histopathological images and to perform grading of breast cancer, providing pathologists with a robust and traceable second opinion.

Abstract Scoring the nuclear pleomorphism in histopathological images is a standard clinical prac... more Abstract Scoring the nuclear pleomorphism in histopathological images is a standard clinical practice for the diagnosis and prognosis of breast cancer. It relies highly on the experience of the pathologists. In a large hospital, one pathologist may have to evaluate more than a ...

2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013), 2013

Studies in Health Technology and Informatics, Feb 1, 2009

Using object recognition in simple scenes as the task, two fundamental problems in neural network... more Using object recognition in simple scenes as the task, two fundamental problems in neural network systems are addressed: (1) processing large amounts of input with limited resources, and (2) the representation and use of structured knowledge. The solution to the first problem is to process a small amount of the input in parallel, and successively focus on other parts of

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, Jan 22, 2016

Internal carotid artery (ICA) occlusions are poorly responsive to intravenous thrombolysis with t... more Internal carotid artery (ICA) occlusions are poorly responsive to intravenous thrombolysis with tissue plasminogen activator (IV-tPA) in acute ischemic stroke (AIS). Most study populations have combined intracranial and extracranial ICA occlusions for analysis; few have studied purely cervical ICA occlusions. We evaluated AIS patients with acute cervical ICA occlusion treated with IV-tPA to identify predictors of outcomes. We studied 550 consecutive patients with AIS who received IV-tPA and identified 100 with pure acute cervical ICA occlusion. We evaluated the associations of vascular risk factors, National Institutes of Health Stroke Scale (NIHSS) score, and leptomeningeal collateral vessel status via 3 different grading systems, with functional recovery at 90 days, mortality, recanalization of the primary occlusion, and symptomatic intracranial hemorrhage (SICH). Modified Rankin Scale score 0-1 was defined as an excellent outcome. The 100 patients had mean age of 67.8 (range 32-9...

. Texture segmentation aims at dividing an image into perceptuallyuniform regions each containing... more . Texture segmentation aims at dividing an image into perceptuallyuniform regions each containing a distinct texture. In imagesof natural scene, texture in a region can change gradually in scale andorientation due to perspective distortion. A naive segmentation methodmay erroneously group image patches with the same texture but slowlyvarying scales and orientations into distinct regions. This paper describesa novel segmentation method which takes into account the rate of changeof texture ...

2004 International Conference on Image Processing 2004 Icip 04, Nov 24, 2004

In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognitio... more In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments are obtained first. By estimating the parameters based on the line segments, we are able to generate elliptic arc candidates. Curve fitting is then performed to reject false positives and

Proceedings of the Eighth International Conference on Document Analysis and Recognition, 2005

The international journal of medical robotics + computer assisted surgery : MRCAS, Jan 30, 2018

Skull reconstruction is an important and challenging task in craniofacial surgery planning, foren... more Skull reconstruction is an important and challenging task in craniofacial surgery planning, forensic investigation and anthropological studies. Existing methods typically reconstruct approximating surfaces that regard corresponding points on the target skull as soft constraints, thus incurring non-zero error even for non-defective parts and high overall reconstruction error. This paper proposes a novel geometric reconstruction method that non-rigidly registers an interpolating reference surface that regards corresponding target points as hard constraints, thus achieving low reconstruction error. To overcome the shortcoming of interpolating a surface, a flip-avoiding method is used to detect and exclude conflicting hard constraints that would otherwise cause surface patches to flip and self-intersect. Comprehensive test results show that our method is more accurate and robust than existing skull reconstruction methods. By incorporating symmetry constraints, it can produce more symmet...

Ijcai, 2003

... increasing number of robots and sensing range. References [Low et al., 2002] KH Low, WK Leow,... more ... increasing number of robots and sensing range. References [Low et al., 2002] KH Low, WK Leow, and MH Ang Jr. A hybrid mobile robot architecture with integrated plan-ning and control. In Proc. AAMAS, pages 219–226, 2002.

IEEE International Conference on Image Processing 2005, 2005

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2009

Histopathological examination is a powerful method for prognosis of major diseases such as breast... more Histopathological examination is a powerful method for prognosis of major diseases such as breast cancer. Analysis of medical images largely remains the work of human experts. Current virtual microscope systems are mainly an emulation of real microscopes with annotation and some image analysis capabilities. However, the lack of effective knowledge management prevents such systems from being computer-aided prognosis platforms. The cognitive virtual microscopic framework, through an extended modeling and use of medical knowledge, has the capacity to analyse histopathological images and to perform grading of breast cancer, providing pathologists with a robust and traceable second opinion.

Abstract Scoring the nuclear pleomorphism in histopathological images is a standard clinical prac... more Abstract Scoring the nuclear pleomorphism in histopathological images is a standard clinical practice for the diagnosis and prognosis of breast cancer. It relies highly on the experience of the pathologists. In a large hospital, one pathologist may have to evaluate more than a ...

2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013), 2013

Studies in Health Technology and Informatics, Feb 1, 2009

Using object recognition in simple scenes as the task, two fundamental problems in neural network... more Using object recognition in simple scenes as the task, two fundamental problems in neural network systems are addressed: (1) processing large amounts of input with limited resources, and (2) the representation and use of structured knowledge. The solution to the first problem is to process a small amount of the input in parallel, and successively focus on other parts of

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, Jan 22, 2016

Internal carotid artery (ICA) occlusions are poorly responsive to intravenous thrombolysis with t... more Internal carotid artery (ICA) occlusions are poorly responsive to intravenous thrombolysis with tissue plasminogen activator (IV-tPA) in acute ischemic stroke (AIS). Most study populations have combined intracranial and extracranial ICA occlusions for analysis; few have studied purely cervical ICA occlusions. We evaluated AIS patients with acute cervical ICA occlusion treated with IV-tPA to identify predictors of outcomes. We studied 550 consecutive patients with AIS who received IV-tPA and identified 100 with pure acute cervical ICA occlusion. We evaluated the associations of vascular risk factors, National Institutes of Health Stroke Scale (NIHSS) score, and leptomeningeal collateral vessel status via 3 different grading systems, with functional recovery at 90 days, mortality, recanalization of the primary occlusion, and symptomatic intracranial hemorrhage (SICH). Modified Rankin Scale score 0-1 was defined as an excellent outcome. The 100 patients had mean age of 67.8 (range 32-9...

. Texture segmentation aims at dividing an image into perceptuallyuniform regions each containing... more . Texture segmentation aims at dividing an image into perceptuallyuniform regions each containing a distinct texture. In imagesof natural scene, texture in a region can change gradually in scale andorientation due to perspective distortion. A naive segmentation methodmay erroneously group image patches with the same texture but slowlyvarying scales and orientations into distinct regions. This paper describesa novel segmentation method which takes into account the rate of changeof texture ...

2004 International Conference on Image Processing 2004 Icip 04, Nov 24, 2004

In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognitio... more In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments are obtained first. By estimating the parameters based on the line segments, we are able to generate elliptic arc candidates. Curve fitting is then performed to reject false positives and

Proceedings of the Eighth International Conference on Document Analysis and Recognition, 2005