Publications

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Showing 21–40 of 96 publications

2022

ISI Indexed / Impact Factor Journal PapersIF 3.56Medical ImagingMachine Learning & Deep LearningInternet of Things
Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.
Mushtaq, Malaika, Muhammad Usman Akram, Norah Saleh Alghamdi, Joddat Fatima, and Rao Farhat Masood.
Sensors 22, no. 4 (2022): 1547.
ISI Indexed / Impact Factor Journal PapersIF 2.373Medical ImagingMachine Learning & Deep LearningData Analytics
A deep learning approach for the classification of TB from NIH CXR dataset.
Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi.
IET Image Processing 16, no. 3 (2022): 787-796.
ISI Indexed / Impact Factor Journal PapersIF 5.468Artificial Intelligence
Intelligent framework for automated failure prediction, detection, and classification of mission critical autonomous flights
Muhammad Waqas Ahmad, Muhammad Usman Akram, Rashid Ahmad, Khurram Hameed, Ali Hassan,
ISA Transactions, 2022,
ISI Indexed / Impact Factor Journal PapersIF 3.24Machine Learning & Deep Learning
Attention based automated radiology report generation using CNN and LSTM.
Sirshar, Mehreen, Muhammad Faheem Khalil Paracha, Muhammad Usman Akram, Norah Saleh Alghamdi, Syeda Zainab Yousuf Zaidi, and Tatheer Fatima.
PloS one 17, no. 1 (2022): e0262209.
ISI Indexed / Impact Factor Journal PapersIF 3.401Medical ImagingInternet of Things
Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.
Fatima, Joddat, Amina Jameel, Muhammad Usman Akram, Adeel Muzaffar Syed, and Malaika Mushtaq.
Intelligent Automation and Soft Computing 34, no. 3 (2022): 1489-1504.

2021

ISI Indexed / Impact Factor Journal PapersIF 2.50Medical ImagingInternet of Things
Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.
Fatima, Joddat, Muhammad Usman Akram, Amina Jameel, and Adeel Muzaffar Syed.
EURASIP Journal on Image and Video Processing 2021, no. 1 (2021): 1-23.
ISI Indexed / Impact Factor Journal PapersMedical Imaging
Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.
Iqbal, Tahira, Arslan Shaukat, Usman Akram, Zartasha Mustansar, and Aimal Khan.
IEEE Access (2021). Impact Factor: 3.367]
ISI Indexed / Impact Factor Journal PapersMedical ImagingMachine Learning & Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.
Hassan, Taimur, Bilal Hassan, Muhammad Usman Akram, Shahrukh Hashmi, Abdel Hakim Taguri, and Naoufel Werghi.
IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-14. Impact Factor: 4.016]
ISI Indexed / Impact Factor Journal PapersIF 3.88Medical ImagingMachine Learning & Deep Learning
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.
Hassan, Bilal, Shiyin Qin, Taimur Hassan, Muhammad Usman Akram, Ramsha Ahmed, and Naoufel Werghi.
Biomedical Signal Processing and Control 70 (2021): 103030.
ISI Indexed / Impact Factor Journal PapersIF 3.367Machine Learning & Deep Learning
Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.
Zaidi, S. Zainab Yousuf, M. Usman Akram, Amina Jameel, and Norah Saleh Alghamdi.
IEEE Access (2021).
ISI Indexed / Impact Factor Journal PapersIF 3.34Medical Imaging
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar; Taimur Hassan; Muhammed Usman Akram; Shoab Ahmed Khan,
Computers in Biology and Medicine, 2021.
ISI Indexed / Impact Factor Journal PapersIF 1.4Biomedical Signal Processing
Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review.
Ismail, Shahid, Usman Akram, and Imran Siddiqi.
EURASIP Journal on Advances in Signal Processing 2021, no. 1 (2021): 1-27.
ISI Indexed / Impact Factor Journal PapersIF 1.91Medical Imaging
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.
Khalil, Tehmina, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, and Nouman Ali.
International Journal of Imaging Systems and Technology, 2021
ISI Indexed / Impact Factor Journal PapersIF 5.223Medical ImagingMachine Learning & Deep Learning
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.
Hassan, Taimur, Muhammad Usman Akram, Naoufel Werghi, and Muhammad Noman Nazir.
IEEE journal of biomedical and health informatics 25, no. 1 (2021): 108-120.

2020

ISI Indexed / Impact Factor Journal PapersIF 4.42Medical ImagingMachine Learning & Deep Learning
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
Raja, Hina, Taimur Hassan, Muhammad Usman Akram, and Naoufel Werghi.
IEEE Transactions on Biomedical Engineering (2020).
ISI Indexed / Impact Factor Journal PapersIF 4.098
Genetic Algorithm based Automatic Out-Patient Experience Management System (GAPEM) using RFIDs and Sensors.
Safdar, Saria, Shoab Ahmed Khan, Arslan Shaukat, and Usman Akram.
IEEE Access (2020).
ISI Indexed / Impact Factor Journal PapersIF 3.697Medical ImagingMachine Learning & Deep Learning
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.
Raja, Hina, M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, Norah Alghamdi, Sajid Gul Khawaja, and Noman Nazir.
Journal of Digital Imaging (2020): 1-15.
ISI Indexed / Impact Factor Journal PapersIF 3.275Biomedical Signal ProcessingMachine Learning & Deep Learning
CNN and LSTM-Based Emotion Charting Using Physiological Signals
Dar, M.N.; Akram, M.U.; Khawaja, S.G.; Pujari, A.N.
Sensors 2020, 20, 4551.
ISI Indexed / Impact Factor Journal PapersIF 1.375
Neurotransmission Cognitive Theory: A novel approach for non-Invasive brain stimulation using mechanical vibrations for the rehabilitation of neurological patients.
Khan, Aliya A., Shahbaz K. Ranjha, Muhammad U. Akram, Sajid G. Khawaja, and Arslan Shaukat.
Medical Hypotheses (2020): 110078.
ISI Indexed / Impact Factor Journal PapersIF 3.275
Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing
Stanke, L.; Kubicek, J.; Vilimek, D.; Penhaker, M.; Cerny, M.; Augustynek, M.; Slaninova, N.; Akram, M.U.
Sensors 2020, 20, 5301.

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Publications

2022

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.

A deep learning approach for the classification of TB from NIH CXR dataset.

Intelligent framework for automated failure prediction, detection, and classification of mission critical autonomous flights

Attention based automated radiology report generation using CNN and LSTM.

Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.

2021

Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.

Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.

Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review.

A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.

2020

Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.

Genetic Algorithm based Automatic Out-Patient Experience Management System (GAPEM) using RFIDs and Sensors.

Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.

CNN and LSTM-Based Emotion Charting Using Physiological Signals

Neurotransmission Cognitive Theory: A novel approach for non-Invasive brain stimulation using mechanical vibrations for the rehabilitation of neurological patients.

Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing

2022

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.

A deep learning approach for the classification of TB from NIH CXR dataset.

Intelligent framework for automated failure prediction, detection, and classification of mission critical autonomous flights

Attention based automated radiology report generation using CNN and LSTM.

Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity.

2021

Spinal vertebrae localization and analysis on disproportionality in curvature using radiography—a comprehensive review.

Automatic diagnosis of pneumothorax from chest radiographs: a systematic literature review.

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning.

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.

Lung Segmentation based Pulmonary Disease Classification using Deep Neural Networks.

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

Heart rate tracking in photoplethysmography signals affected by motion artifacts: a review.

A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage.

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology.

2020

Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.

Genetic Algorithm based Automatic Out-Patient Experience Management System (GAPEM) using RFIDs and Sensors.

Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis.

CNN and LSTM-Based Emotion Charting Using Physiological Signals

Neurotransmission Cognitive Theory: A novel approach for non-Invasive brain stimulation using mechanical vibrations for the rehabilitation of neurological patients.

Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing