activity
20172022
most citedApplication of DenseNet in Camera Model Identification and Post-processing Detection

35 citations · 79 across the 15 of their papers we have counts for

collaborators

16 papers

eess.IV2022

A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction

Farhan Sadik, Md. Kamrul Hasan

Parallel imaging accelerates MRI data acquisition by acquiring additional sensitivity information with an array of receiver coils, resulting in fewer phase encoding steps. Because…

eess.IV2021

Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders

Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal +6

Automated skin lesion analysis for simultaneous detection and recognition is still challenging for inter-class homogeneity and intra-class heterogeneity, leading to low generic cap…

eess.IV2021

Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI

Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy +3

Accurate and robust whole heart substructure segmentation is crucial in developing clinical applications, such as computer-aided diagnosis and computer-aided surgery. However, segm…

eess.IV2021

COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing

Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan +3

The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity is imperative for disease diagnosis and prognosis as…

eess.IV2020

L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection

Abdul Muntakim Rafi, Jonathan Wu, Md. Kamrul Hasan

Source camera model identification (CMI) and image manipulation detection are of paramount importance in image forensics. In this paper, we propose an L2-constrained Remnant Convol…

eess.IV2020★ 27 cited

CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images

Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E Elahi +2

The novel Coronavirus Disease 2019 (COVID-19) is a global pandemic disease spreading rapidly around the world. A robust and automatic early recognition of COVID-19, via auxiliary c…

eess.IV2020★ 11 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

Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture

Jayanta Dey, Md. Kamrul Hasan

Removing speckle noise from medical ultrasound images while preserving image features without introducing artifact and distortion is a major challenge in ultrasound image restorati…

cs.CV2019★ 1 cited

Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations

Md. Kamrul Hasan, Basel Alyafi, Fakrul Islam Tushar

Lesion segmentation from the surrounding skin is the first task for developing automatic Computer-Aided Diagnosis of skin cancer. Variant features of lesion like uneven distributio…

eess.IV2019★ 2 cited

SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging

Tamim Ahmed, Md. Kamrul Hasan

Ultrasound Shear Wave Elastography (USWE) with conventional B-mode imaging demonstrates better performance in lesion segmentation and classification problems. In this article, we p…

eess.SP2019

Classification of Breast Lesions Using Quantitative Ultrasound Biomarkers

Navid Ibtehaj Nizam, Sharmin R. Ara, Md. Kamrul Hasan

Quantitative ultrasound (QUS) based parameters like the effective scatterer diameter (ESD) and mean scatterer spacing (MSS) are gaining attention recently as non-invasive biomarker…

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…

q-bio.QM2018★ 1 cited

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis

Md. Kamrul Hasan, Fakrul Islam Tushar

Left ventricular non-compaction (LVNC) is a rare cardiomyopathy (CMP) that should be considered as a possible diagnosis because of its potential complications which are heart failu…

eess.IV2018★ 35 cited

Application of DenseNet in Camera Model Identification and Post-processing Detection

Abdul Muntakim Rafi, Uday Kamal, Rakibul Hoque +4

Camera model identification has earned paramount importance in the field of image forensics with an upsurge of digitally altered images which are constantly being shared through we…

eess.SP2017★ 2 cited

Ultrasonic Tissue Reflectivity Function Estimation Using Correlation Constrained Multichannel FLMS Algorithm with Missing RF Data

Jayanta Dey, Md. Kamrul Hasan

Poor resolution of ultrasound images due to convolution of the tissue reflectivity function (TRF) with the system point spread function (PSF) is a major issue in medical ultrasound…