Browsing by Author "Khan, Muhammad Salman"
Now showing items 1-10 of 10
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BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ... -
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
( IOP Publishing Ltd , 2021 , Article)Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ... -
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
Deep learning techniques for liver and liver tumor segmentation: A review
( Elsevier , 2022 , Article)Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ... -
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
( Elsevier , 2021 , Article)Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ... -
Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights
( BioMed Central Ltd , 2024 , Article)The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric ... -
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
( Elsevier , 2025 , Article)Sepsis, a life-threatening condition triggered by the body's response to infection, remains a significant global health challenge, annually affecting millions in the United States alone with substantial mortality and ... -
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware
( Hindawi Limited , 2022 , Article)Android is one of the leading operating systems for smartphones in terms of market share and usage. Unfortunately, it is also an appealing target for attackers to compromise its security through malicious applications. To ... -
Phonocardiogram classification based on 1D CNN with pitch-shifting and signal uniformity techniques
( European Signal Processing Conference, EUSIPCO , 2024 , Conference)This study combines 1D CNN with advanced signal processing to enhance heart sound classification, presenting three key contributions. Initially, we used a pitch-shifting technique to expand the dataset by altering ... -
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source
( Academic Press , 2023 , Article)Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non-native listeners and even for the normal hearing listeners in noisy circumstances. It also degrades the ...
