Search Results - "Fattah, Shaikh Anowarul"

CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization by Mahmud, Tanvir, Rahman, Md Awsafur, Fattah, Shaikh Anowarul

“…With the recent outbreak of COVID-19, fast diagnostic testing has become one of the major challenges due to the critical shortage of test kit. Pneumonia, a…”
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An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound by Dastider, Ankan Ghosh, Sadik, Farhan, Fattah, Shaikh Anowarul

“…The COVID-19 pandemic has become one of the biggest threats to the global healthcare system, creating an unprecedented condition worldwide. The necessity of…”
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PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images by Mahmud, Tanvir, Paul, Bishmoy, Fattah, Shaikh Anowarul

“…Colorectal cancer has become one of the major causes of death throughout the world. Early detection of Polyp, an early symptom of colorectal cancer, can…”
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SpectroCardioNet: An Attention-Based Deep Learning Network Using Triple-Spectrograms of PCG Signal for Heart Valve Disease Detection by Chowdhury, Sakib, Morshed, Monjur, Fattah, Shaikh Anowarul

“…The phonocardiogram (PCG) signal is used for the early detection of cardiovascular diseases (CVDs) as it captures the heart sound characteristics. In this…”
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SAR-CardioNet: A Network for Heart Valve Disease Detection from PCG Signal Based on Split-Self Attention with Residual Paths by Morshed, Monjur, Fattah, Shaikh Anowarul

“…Analyzing phonocardiogram (PCG) signals is getting popularity because of its noninvasive test procedures for the early detection of heart valve-related…”
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DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation by Rahman, Md Awsafur, Fattah, Shaikh Anowarul

“…Depth estimation using monocular vision sensors is crucial in computer vision, with diverse applications ranging from autonomous driving to robot motion…”
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SR-AttNet: An Interpretable Stretch–Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images by Alam, Md. Jahin, Fattah, Shaikh Anowarul

“…Colorectal polyp is a common structural gastrointestinal (GI) anomaly, which can in certain cases turn malignant. Colonoscopic image inspection is, thereby, an…”
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DeepArrNet: An Efficient Deep CNN Architecture for Automatic Arrhythmia Detection and Classification From Denoised ECG Beats by Mahmud, Tanvir, Fattah, Shaikh Anowarul, Saquib, Mohammad

“…In this paper, an efficient deep convolutional neural network (CNN) architecture is proposed based on depthwise temporal convolution along with a robust…”
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MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis from Electrocardiogram by Tahmid, Md Toki, Kader, Muhammad Ehsanul, Mahmud, Tanvir, Fattah, Shaikh Anowarul

“…Automated classification of cardiovascular diseases from electrocardiogram (ECG) signals using deep learning has gained significant interest due to its wide…”
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A Deep Neural Network For Heart Valve Defect Classification From Synchronously Recorded ECG And PCG by Morshed, Monjur, Fattah, Shaikh Anowarul

“…Heart valve defects (HVDs) are commonly analyzed by using heart sound or phonocardiogram (PCG) signals. In many cases, additional information along with PCG…”
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CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans by Mahmud, Tanvir, Alam, Md. Jahin, Chowdhury, Sakib, Ali, Shams Nafisa, Rahman, Md. Maisoon, Anowarul Fattah, Shaikh, Saquib, Mohammad

“…Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global community to control the spread of this overgrowing pandemic. In…”
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Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation by Rahman, Md Awsafur, Fattah, Shaikh Anowarul

“…In computer vision, depth estimation is crucial for domains like robotics, autonomous vehicles, augmented reality, and virtual reality. Integrating semantics…”
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Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal by Bhattacharjee, Arnab, Saha, Suvasish, Fattah, Shaikh Anowarul, Zhu, Wei-Ping, Ahmad, M. Omair

“…Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in breathing during sleep. In this paper, an automatic apnea detection…”
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A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network by Mahmud, Tanvir, Sazzad Sayyed, A. Q. M., Fattah, Shaikh Anowarul, Kung, Sun-Yuan

“…Deep neural network is an effective choice to automatically recognize human actions utilizing data from various wearable sensors. These networks automate the…”
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Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection by Kundu, Amit Kumar, Fattah, Shaikh Anowarul

“…Wireless capsule endoscopy (WCE) is a video technology to inspect abnormalities, like bleeding in the gastrointestinal tract. In order to avoid a complex and…”
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SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation by Islam, Mohammad Tariqul, Ahmed, Sk. Tanvir, Shahnaz, Celia, Fattah, Shaikh Anowarul

“…The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded…”
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Epileptic seizure detection in EEG signals using normalized IMFs in CEEMDAN domain and quadratic discriminant classifier by Bari, Md. Faizul, Anowarul Fattah, Shaikh

“…Epilepsy is the fourth most common neurological disorder that manifests itself through unprovoked seizures, detection of which is the very first step of proper…”
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A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images by Sadik, Farhan, Dastider, Ankan Ghosh, Subah, Mohseu Rashid, Mahmud, Tanvir, Fattah, Shaikh Anowarul

“…In the Coronavirus disease-2019 (COVID-19) pandemic, for fast and accurate diagnosis of a large number of patients, besides traditional methods, automated…”
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ConDANet: Contourlet Driven Attention Network for Automatic Nuclei Segmentation in Histopathology Images by Imtiaz, Tamjid, Fattah, Shaikh Anowarul, Saquib, Mohammad

“…Cell nuclei segmentation, the task of identifying the precise boundary of the nucleus in each cell in a histopathology image, is a rudimentary task prior to…”
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Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images by Saha, Utsab, Saha, Sawradip, Fattah, Shaikh Anowarul, Saquib, Mohammad

“…The identification and restoration of ancient watermarks have long been a major topic in codicology and history. Classifying historical documents based on…”
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