49 citations · 103 across the 8 of their papers we have counts for
9 papers
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-…
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators
Payman Behnam, Uday Kamal, Saibal Mukhopadhyay
In recent years, processing in memory (PIM) based mixedsignal designs have been proposed as energy- and area-efficient solutions with ultra high throughput to accelerate DNN comput…
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…
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
Uday Kamal, Mohammad Zunaed, Nusrat Binta Nizam +1
Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the…
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…
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…
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…