activity
20142021
most citedDeep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

12 citations · 18 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2021

Improved Sensitivity of Base Layer on the Performance of Rigid Pavement

Sajib Saha, Fan Gu, Xue Luo +1

The performance of rigid pavement is greatly affected by the properties of base/subbase as well as subgrade layer. However, the performance predicted by the AASHTOWare Pavement ME…

cs.CV2017★ 12 cited

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

Sajib Kumar Saha, Basura Fernando, Jorge Cuadros +2

Purpose To develop a computer based method for the automated assessment of image quality in the context of diabetic retinopathy (DR) to guide the photographer. Methods A deep learn…

physics.med-ph2015

Adaptive Adjustment of Relaxation Parameters for Algebraic Reconstruction Technique and its Possible Application to Sparsity Prior X-ray CT Reconstruction

Sajib Saha, Murat Tahtali, Andrew Lambert +1

In this paper, we systematically evaluate the performance of adaptive adjustment of the relaxation parameters of various iterative algorithms for X-ray CT reconstruction relying on…

cs.CV2015★ 1 cited

Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors

Basura Fernando, Sezer Karaoglu, Sajib Kumar Saha

This paper presents a novel multi scale gradient and a corner point based shape descriptors. The novel multi scale gradient based shape descriptor is combined with generic Fourier…

physics.med-ph2015★ 1 cited

Evaluating the Performance of BSBL Methodology for EEG Source Localization On a Realistic Head Model

Sajib Saha, Rajib Rana, Ya. I. Nesterets +3

Source localization in EEG represents a high dimensional inverse problem, which is severely ill-posed by nature. Fortunately, sparsity constraints have come into rescue as it helps…

q-bio.QM2015★ 3 cited

Sparse Bayesian Learning for EEG Source Localization

Sajib Saha, Frank de Hoog, Ya. I. Nesterets +3

Purpose: Localizing the sources of electrical activity from electroencephalographic (EEG) data has gained considerable attention over the last few years. In this paper, we propose…