activity
20182022
most citedDFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions

11 citations · 16 across the 4 of their papers we have counts for

collaborators

7 papers

eess.IV2022

A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis

Partho Ghosh, Md. Abrar Istiak, Mir Sayeed Mohammad +2

Successful identification of blood vessel blockage is a crucial step for Alzheimer's disease diagnosis. These blocks can be identified from the spatial and time-depth variable Two-…

eess.IV20225 cited

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +22

Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor. Human-centered segmentation, which i…

eess.SP2020

Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing

Masfiqur Rahaman, MD. Nazmul Hasan Sakib, Nafisa Islam +4

Using low-cost piezoelectric sensors to sense structural vibration exhibits great potential in augmenting structural engineering, which is yet to be explored in the literature to t…

eess.IV202011 cited

DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions

Sabbir Ahmed, Uday Kamal, Md. Kamrul Hasan

Robust traffic sign detection and recognition (TSDR) is of paramount importance for the successful realization of autonomous vehicle technology. The importance of this task has led…

eess.IV2019

RemNet: Remnant Convolutional Neural Network for Camera Model Identification

Abdul Muntakim Rafi, Thamidul Islam Tonmoy, Uday Kamal +2

Camera model identification (CMI) has gained significant importance in image forensics as digitally altered images are becoming increasingly commonplace. In this paper, a novel con…

eess.IV2018

Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet

Uday Kamal, Abdul Muntakim Rafi, Rakibul Hoque +2

The performance of a computer-aided automated diagnosis system of lung cancer from Computed Tomography (CT) volumetric images greatly depends on the accurate detection and segmenta…