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Kuntal Ghosh

Researcher at Indian Statistical Institute

Publications -  95
Citations -  810

Kuntal Ghosh is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Illusion & Retinal ganglion. The author has an hindex of 13, co-authored 89 publications receiving 632 citations. Previous affiliations of Kuntal Ghosh include Saha Institute of Nuclear Physics & Jadavpur University.

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Proceedings ArticleDOI

Automatic detection and classification of diabetic retinopathy stages using CNN

TL;DR: A Convolutional Neural Networks approach is proposed to automate the method of Diabetic Retinopathy screening using color fundus retinal photography as input, using CNN along with denoising to identify features like micro-aneurysms and haemorrhages on the retina.
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ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions

TL;DR: It can be concluded that the newly constructed ELM-based ANSI models can solve the difficulties in tuning the acceleration coefficients of SPSO by the trial-and-error method for predicting the CBR of soils and be further applied to other real-time problems of geotechnical engineering.
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An Integrated Approach to Optimization of WEDM Combining Single-Pass and Multipass Cutting Operation

TL;DR: In this article, an integrated approach to optimization of wire electrical discharge machining (WEDM) of gamma titanium aluminide (γ-TiAl) with the assistance of artificial neural network (ANN) modeling is presented.
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A possible explanation of the low-level brightness–contrast illusions in the light of an extended classical receptive field model of retinal ganglion cells

TL;DR: It has been shown in this paper that it is possible to simulate low-level brightness–contrast illusions with a model that takes into cognizance the role of the extended classical receptive field.
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A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells

TL;DR: The extended classical receptive field (ECRF) of retinal ganglion cells has been modelled as a combination of three zero-mean Gaussians at three different scales that has been shown to be equivalent to a Biharmonic or Bi-Laplacian of Gaussian filter.