User profiles for Kanwal K. Bhatia
 | Kanwal BhatiaCEO, Aival Verified email at aival.io Cited by 1808 |
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry
Preterm birth is a leading risk factor for neurodevelopmental and cognitive impairment in
childhood and adolescence. The most common known cerebral abnormality among preterm …
childhood and adolescence. The most common known cerebral abnormality among preterm …
Consistent groupwise non-rigid registration for atlas construction
This paper describes a groupwise, non-rigid registration algorithm to simultaneously register
all subjects in a population to a common reference (or natural) coordinate system, which is …
all subjects in a population to a common reference (or natural) coordinate system, which is …
Early growth in brain volume is preserved in the majority of preterm infants
Objective Preterm infants have reduced cerebral tissue volumes in adolescence. This study
addresses the question: Is reduced global brain growth in the neonatal period inevitable …
addresses the question: Is reduced global brain growth in the neonatal period inevitable …
[HTML][HTML] Polyp detection on video colonoscopy using a hybrid 2D/3D CNN
Colonoscopy is the gold standard for early diagnosis and pre-emptive treatment of colorectal
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
Geodesic patch-based segmentation
Label propagation has been shown to be effective in many automatic segmentation applications.
However, its reliance on accurate image alignment means that segmentation results …
However, its reliance on accurate image alignment means that segmentation results …
Endoscopic polyp segmentation using a hybrid 2D/3D CNN
Colonoscopy is the gold standard for early diagnosis and pre-emptive treatment of colorectal
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning
High resolution 3D cardiac MRI is difficult to achieve due to the relative speed of motion
occurring during acquisition. Instead, anisotropic 2D stack volumes are typical, and improving …
occurring during acquisition. Instead, anisotropic 2D stack volumes are typical, and improving …
Disease classification of macular optical coherence tomography scans using deep learning software: validation on independent, multicenter data
Purpose: To evaluate Pegasus optical coherence tomography (OCT), a clinical decision
support software for the identification of features of retinal disease from macula OCT scans, …
support software for the identification of features of retinal disease from macula OCT scans, …
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images
We propose a novel mediastinal lymph node detection and segmentation method from
chest CT volumes based on fully convolutional networks (FCNs). Most lymph node detection …
chest CT volumes based on fully convolutional networks (FCNs). Most lymph node detection …
Assessment of brain growth in early childhood using deformation-based morphometry
We present methods for the quantitative analysis of brain growth based on the registration
of longitudinal MR image data with the use of Jacobian determinant maps to characterise …
of longitudinal MR image data with the use of Jacobian determinant maps to characterise …