35 citations · 79 across the 15 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…