activity
20182022
most citedImage Classification using Graph Neural Network and Multiscale Wavelet Superpixels

3 citations · 5 across the 3 of their papers we have counts for

collaborators

13 papers

cs.CV20223 cited

Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels

Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam +1

Prior studies using graph neural networks (GNNs) for image classification have focused on graphs generated from a regular grid of pixels or similar-sized superpixels. In the latter…

cs.CV20202 cited

Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis

Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam +2

The automatic diagnosis of various retinal diseases from fundus images is important to support clinical decision-making. However, developing such automatic solutions is challenging…

eess.SP2019

A spline interpolation based data reconstruction technique for estimation of strain time constant in ultrasound poroelastography

Md Tauhidul Islam, Raffaella Righetti

Ultrasound poroelastography is a cost-effective non-invasive imaging technique, which is able to reconstruct several mechanical parameters of cancer and normal tissue such as Young…

eess.IV2018

Non-invasive assessment of the spatial and temporal distributions of interstitial fluid pressure, fluid velocity and fluid flow in cancers in vivo

Md Tauhidul Islam, Ennio Tasciotti, Raffaella Righetti

Interstitial fluid pressure (IFP), interstitial fluid velocity (IFV), interstitial permeability (IP) and vascular permeability (VP) are cancer mechanopathological parameters of gre…

eess.IV2018

Non-invasive imaging of Young's modulus and Poisson's ratio in cancers in vivo

Md Tauhidul Islam, Songyuan Tang, Chiara Liverani +2

Objective: Alterations of Young's modulus (YM) and Poisson's ratio (PR) in biological tissues are often early indicators of the onset of pathological conditions. Knowledge of these…

eess.IV2018

A novel filter for accurate estimation of fluid pressure and fluid velocity using poroelastography

Md Tauhidul Islam, Raffaella Righetti

Fluid pressure and fluid velocity carry important information for cancer diagnosis, prognosis and treatment. Recent work has demonstrated that estimation of these parameters is the…