M. Akram

发表

Automated segmentation of subretinal layers for the detection of macular edema.

Adeel M. Syed, S. A. Bazaz, Taimur Hassan, 2016, Applied optics.

Person identification using vascular and non-vascular retinal features

M. Usman Akram, Arslan Shaukat, Amna Waheed, 2016, Comput. Electr. Eng..

Comparative analysis of texture descriptors for classification

M. Akram, A. Shaukat, Masood Ahmed, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Multi-Label Fake News Detection using Multi-layered Supervised Learning

Wasi Haider Butt, M. Usman Akram, Arslan Shaukat, 2019, ICCAE 2019.

Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images

M. Akram, S. Khalid, Tehmina Shehryar, 2020, Int. J. Imaging Syst. Technol..

Hybrid textural feature set based automated diagnosis system for Age Related Macular Degeneration using fundus images

M. Usman Akram, Tehmina Khalil, Samina Khalid, 2017, 2017 International Conference on Communication, Computing and Digital Systems (C-CODE).

Energy Efficient Image Compression and Transmission in WSN

Nazar Abbas Saqib, M. Usman Akram, Seungmin Rho, 2016 .

AVRDB : Annotated Dataset for Vessel Segmentation and Calculation of Arteriovenous Ratio

Taimur Hassan, M. Usman Akram, Shahzad Akbar, 2017 .

Neurotransmission cognitive theory: A novel approach for non-invasive brain stimulation using mechanical vibrations for the rehabilitation of neurological patients.

M. Akram, A. Shaukat, A. A. Khan, 2020, Medical hypotheses.

An integrated framework for clinical grading of cataract

M. Akram, I. Shaheen, 2017, 2017 1st International Conference on Next Generation Computing Applications (NextComp).

A Comparison of Mean Models and Clustering Techniques for Vertebra Detection and Region Separation from C-Spine X-Rays

M. Akram, Anum Mehmood, Ayesha Fatima, 2017 .

Vertebra localization and centroid detection from cervical radiographs

M. Akram, Anum Mehmood, A. Tariq, 2017, 2017 International Conference on Communication, Computing and Digital Systems (C-CODE).

Terrorist Network Analysis and Identification of Main Actors Using Machine Learning Techniques

M. Usman Akram, Jawairia Rasheed, Ahmed Kamran Malik, 2018, ICIT.

Blood Vessel Enhancement and Segmentation for Screening of Diabetic Retinopathy

M. Usman Akram, Anam Tariq, Ibaa Jamal, 2012 .

Segmentation of coronary arteries

M. Akram, S. Khan, Sabeen Basit, 2014, 2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA).

Evaluation of Deep Segmentation Models for the Extraction of Retinal Lesions from Multi-modal Retinal Images pdf

Taimur Hassan, Naoufel Werghi, Muhammad Usman Akram, 2020, ArXiv.

Drusen Exudate Lesion Discrimination in Colour

Bilal Ashfaq Ahmed, M. Akram, Saima Waseem, 2014 .

Relative Smoothness for Image Layer Separation by Second Order Laplacian Filter

M. Akram, M. Asif, 2017, ICIET '17.

A practical approach to OCT based classification of Diabetic Macular Edema

Taimur Hassan, M. Usman Akram, Shoab A. Khan, 2017, 2017 International Conference on Signals and Systems (ICSigSys).

A Software System for Grading Diabetic Retinopathy by Analyzing Retinal Images

M. Akram, S. Khalid, 2013 .

Detection of Laser Marks from Retinal Images for Improved Diagnosis of Diabetic Retinopathy

Albab Ahmad Khan, M. Akram, M. Abbas, 2015 .

Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images

Usman Qamar, Sheeraz Akram, Muhammad Younus Javed, 2016 .

Classifying Normal Sinus Rhythm and Cardiac Arrhythmias in ECG Signals Using Statistical Features in Temporal Domain

Mavera M. Butt, M. Akram, S. Khan, 2015, 2015 9th Asia Modelling Symposium (AMS).

Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema

Taimur Hassan, M. Akram, I. Basit, 2020, Data in brief.

Classification of vessels as arteries verses veins using hybrid features for diagnosis of hypertensive retinopathy

M. Akram, A. Malik, Samra Irshad, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Automated segmentation of retinal layers from OCT images using structure tensor and kernel regression+GTDP approach

M. Usman Akram, Shoab A. Khan, Samra Naz, 2017, 2017 1st International Conference on Next Generation Computing Applications (NextComp).

Light CS cooperation/coordination - a Lightweight Collaboration Suite for Groupware

Tatiana Smirnova, M. Usman Akram, Wolfgang Gräther, 2012, CollaborateCom.

Dermoscopic image enhancement and hair artifact removal using Gabor wavelet

Shehzad Khalid, M. Usman Akram, Uzma Jamil, 2016, 2016 Sixth International Conference on Innovative Computing Technology (INTECH).

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

Taimur Hassan, Naoufel Werghi, M. Usman Akram, 2021, Biomed. Signal Process. Control..

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

M. Usman Akram, Nouman Ali, Saadat Hanif Dar, 2021, Int. J. Imaging Syst. Technol..

Lung Segmentation-Based Pulmonary Disease Classification Using Deep Neural Networks

M. Akram, N. Alghamdi, Amina Jameel, 2021, IEEE Access.

Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques

M. Akram, Sohail Jabbar, S. Khalid, 2018, Soft Computing.

Data on OCT and fundus images for the detection of glaucoma

M. Usman Akram, Sajid Gul Khawaja, Aneeqa Ramzan, 2020, Data in brief.

Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy

Taimur Hassan, M. Akram, K. Khalaf, 2022, Inf. Fusion.

Data on OCT and Fundus Images

M. Akram, Tehmina Khalil, H. Raja, 2020 .

Knowledge distillation driven instance segmentation for grading prostate cancer

Taimur Hassan, M. Akram, N. Werghi, 2022, Comput. Biol. Medicine.

Capturing the real customer experience based on the parameters in the call detail records

Asadullah Shah, M. Usman Akram, Norah Saleh Alghamdi, 2021, Multimedia tools and applications.

Important attributes of customer satisfaction in telecom industry: A survey based study

M. Akram, Asadullah Shah, S. Khan, 2017, 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS).

Detection of retinal whitening, cotton wool spots and retinal Hemorrhages for diagnosis of Malarial Retinopathy

M. Usman Akram, Shahzad Amin Sheikh, M. Akram, 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

Papilledema Detection in Fundus Images Using Hybrid Feature Set

M. Usman Akram, Shafaat A. Bazaz, Khush Naseeb Fatima, 2015, International Conference on IT Convergence and Security.

Dermoscopic feature analysis for melanoma recognition and prevention

Shehzad Khalid, M. Usman Akram, Uzma Jamil, 2016, 2016 Sixth International Conference on Innovative Computing Technology (INTECH).

An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs

Taimur Hassan, M. Usman Akram, Mehreen Sirshar, 2021, Comput. Biol. Medicine.

Automated Localization of Palpebral Conjunctiva and Hemoglobin Determination Using Smart Phone Camera

M. Usman Akram, Albab Ahmad Khan, Ahmad Tariq, 2016 .

Review of OCT and fundus images for detection of Macular Edema

Taimur Hassan, Ammara Nasim, M. Usman Akram, 2015, 2015 IEEE International Conference on Imaging Systems and Techniques (IST).

CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI

Gwanggil Jeon, M. Usman Akram, Shoab Ahmad Khan, 2019, J. Intell. Fuzzy Syst..

Localization and classification of heart beats in phonocardiography signals —a comprehensive review

Imran Siddiqi, M. Usman Akram, Shahid Ismail Malik, 2018, EURASIP Journal on Advances in Signal Processing.

Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification

M. Akram, Aimal Khan, A. Sadiq, 2022, IEEE Access.

Geometric feature points based optical character recognition

M. Akram, S. Khan, A. Tariq, 2013, 2013 IEEE Symposium on Industrial Electronics & Applications.

Generation of High Resolution Medical Images Using Super Resolution via Sparse Representation

Taimur Hassan, M. Usman Akram, Muhammad Asif, 2016, AECIA.

Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain

Muhammad Najam Dar, M. Akram, I. Niazi, 2023, Biomed. Signal Process. Control..

Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes

Asadullah Shah, M. Usman Akram, Nusratullah Khan, 2018, 2018 IEEE International Conference on Innovative Research and Development (ICIRD).

Segmentation of skin lesion using Cohen–Daubechies–Feauveau biorthogonal wavelet

Shehzad Khalid, M. Usman Akram, Kashif Saleem, 2016, SpringerPlus.

An Automated System for the Grading of Diabetic Maculopathy in Fundus Images

Muhammad Younus Javed, Mahmood Akhtar, M. Usman Akram, 2012, ICONIP.

Physical Action Categorization using Signal Analysis and Machine Learning

M. Akram, A. Sadiq, S. G. Khawaja, 2020, ArXiv.

Automated detection of glaucoma using structural and non structural features

M. Usman Akram, Amina Jameel, Imran Basit, 2016, SpringerPlus.

Fully Automated Robust System to Detect Retinal Edema, Central Serous Chorioretinopathy, and Age Related Macular Degeneration from Optical Coherence Tomography Images

Taimur Hassan, Ammara Nasim, Amina Jameel, 2017, BioMed research international.

Fingerprint image: pre- and post-processing

M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, 2008, Int. J. Biom..

Improved fingerprint image segmentation using new modified gradient based technique

M.U. Akram, A. Tariq, S. Nasir, 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

Core point detection using improved segmentation and orientation

M. Usman Akram, Anam Tariq, Sarwat Nasir, 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.

Analysis of Multimodal Representation Learning Across Medical Images and Reports Using Multiple Vision and Language Pre-Trained Models

M. Akram, Mehreen Sirshar, Ahmad Hassan, 2022, 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

Effect of Animal Age, Postmortem Calcium Chloride Marination, and Storage Time on Meat Quality Characteristics of M. longissimus thoracis et lumborum of Buffalo Bulls

M. Akram, Zubair Hussain, Raheel Suleman, 2022, Foods.

Interview based iterative requirement elicitation for ARMD detection in OCT images

M. Usman Akram, Samina Khalid, Sadaf Ayaz, 2017, 2017 Computing Conference.

Detection of Acoustic Events by using MFCC and Spectro-Temporal Gabor Filterbank Features

M. Usman Akram, Arslan Shaukat, Abdul Wahid, 2016, ICSPS 2016.

Structure Tensor Graph Searches Based Fully Automated Grading and 3D Profiling of Maculopathy From Retinal OCT Images

Taimur Hassan, Arslan Shaukat, Muhammad Usman Akram, 2018, IEEE Access.

Crackle separation and classification from normal Respiratory sounds using Gaussian Mixture Model

M. Usman Akram, Sajid Gul Khawaja, Syed Osama Maruf, 2015, 2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS).

Localization and classification of heartbeats using robust adaptive algorithm

Imran Siddiqi, M. Usman Akram, Shahid Ismail Malik, 2019, Biomed. Signal Process. Control..

Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization

M. Akram, S. Nazir, A. Khan, 2023, PloS one.

Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy.

Anam Tariq, M Usman Akram, M Almas Anjum, 2012, Applied optics.

Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization

Shehzad Khalid, Muhammad Muzammal, M. Usman Akram, 2018, IEEE Access.

Heart rate estimation in PPG signals using Convolutional-Recurrent Regressor

M. Akram, I. Siddiqi, Shahid Ismail Malik, 2022, Comput. Biol. Medicine.

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

Taimur Hassan, Naoufel Werghi, Muhammad Usman Akram, 2021, IEEE Transactions on Instrumentation and Measurement.

Drusen detection from colored fundus images for diagnosis of age related Macular degeneration

M. Usman Akram, Saima Waseem, Bilal Ashfaq Ahmed, 2014, 7th International Conference on Information and Automation for Sustainability.

A cross layer error control scheme for efficient WLAN multimedia streaming

M. Usman Akram, Shoab Ahmad Khan, Saima Shaheen, 2017, Multimedia Tools and Applications.

Evaluating the significance of error checksums for wireless video streaming

M. Usman Akram, Shoab Ahmad Khan, Saima Shaheen, 2016, Multimedia Tools and Applications.

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Muhammad Sharif, Tanzila Saba, Shahzad Akbar, 2019, Microscopy research and technique.

CNN and LSTM-Based Emotion Charting Using Physiological Signals

Muhammad Usman Akram, Sajid Gul Khawaja, Muhammad Najam Dar, 2020, Sensors.

Analysis of PCG signals using quality assessment and homomorphic filters for localization and classification of heart sounds

Wasi Haider Butt, M. Usman Akram, Arslan Shaukat, 2018, Comput. Methods Programs Biomed..

Automatic Detection and Classification of Malarial Retinopathy- Associated Retinal Whitening in Digital Retinal Images

Shoab A. Khan, Muhammad Usman Akram, Abu Bakar Nisar Alvi, 2017 .

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

M. Akram, Malaika Mushtaq, Joddat Fatima, 2022, Sensors.

An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals

Syed Muhammad Usman, Amna Waheed Awan, Syed Sajid Ullah, 2022, Sensors.

Retinal image blood vessel segmentation

M. Usman Akram, Shoab A. Khan, Anam Tariq, 2009, 2009 International Conference on Information and Communication Technologies.

RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology

Taimur Hassan, Naoufel Werghi, Muhammad Usman Akram, 2020, IEEE Journal of Biomedical and Health Informatics.

Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans

Taimur Hassan, M. Usman Akram, Ubaidullah Yasin, 2019, Comput. Biol. Medicine.

Computer aided system for brain tumor detection and segmentation

M. Usman Akram, Anam Usman, M. Akram, 2011, International Conference on Computer Networks and Information Technology.

Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy

M. Usman Akram, Anam Tariq, Muhammad Sharif, 2018, Comput. Methods Programs Biomed..

Decision Support System for Detection of Papilledema through Fundus Retinal Images

M. Usman Akram, Anam Tariq, Muhammad Sharif, 2017, Journal of Medical Systems.

Decision support system for detection of hypertensive retinopathy using arteriovenous ratio

M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, 2018, Artif. Intell. Medicine.

Computer Based Melanocytic and Nevus Image Enhancement and Segmentation

Shehzad Khalid, Uzma Jamil, M Usman Akram, 2016, BioMed research international.

Automatic Diagnosis of Pneumothorax From Chest Radiographs: A Systematic Literature Review

Zartasha Mustansar, M. Akram, A. Shaukat, 2020, IEEE Access.

Deep Convolution Neural Network for Big Data Medical Image Classification

Muhammad Yasir, Muhammad Ahsan Latif, Rehan Ashraf, 2020, IEEE Access.

A secure personal identification system based on human retina

M. Usman Akram, Joddat Fatima, Adeel M. Syed, 2013, 2013 IEEE Symposium on Industrial Electronics & Applications.

Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines

M. Usman Akram, Aun Irtaza, Muhammad Tariq Mahmood, 2019, Artif. Intell. Medicine.

Detection and classification of retinal lesions for grading of diabetic retinopathy

Shehzad Khalid, Farooque Azam, M. Usman Akram, 2014, Comput. Biol. Medicine.

Attention based automated radiology report generation using CNN and LSTM

M. Akram, Mehreen Sirshar, N. Alghamdi, 2022, PloS one.

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

Muhammad Noman Nazir, M. Akram, A. Shaukat, 2020, Journal of Digital Imaging.

Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images

Wasi Haider Butt, M. Usman Akram, Arslan Shaukat, 2019, IET Image Process..

MoDLF: a model-driven deep learning framework for autonomous vehicle perception (AVP)

Muhammad Waseem Anwar, M. Akram, F. Azam, 2022, MoDELS.

Wireless Sensor Network for Distributed Event Detection Based on Machine Learning

M. Usman Akram, Emad A. Felemban, Shoab Ahmed Khan, 2014, 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom).

Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images

Bushra Khalid, Asad Mansoor Khan, Muhammad Usman Akram, 2020, ICISP.

Continual Learning Objective for Analyzing Complex Knowledge Representations

Taimur Hassan, M. Akram, N. Werghi, 2022, Sensors.

Pruned fuzzy K-nearest neighbor classifier for beat classification

Muhammad Arif, Muhammad Usman Akram, Fayyaz-ul-Afsar Amir Minhas, 2010 .

Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier

Muhammad Arif, M. Usman Akram, Fayyaz A. Afsar, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD

Taimur Hassan, M. Usman Akram, Amina Jameel, 2018, Journal of Digital Imaging.

Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques

Sheeraz Akram, Muhammad Younus Javed, Ayyaz Hussain, 2015, J. Exp. Theor. Artif. Intell..

Personal identification system based on vascular pattern of human retina

S. Qamber, Z. Waheed, M. U. Akram, 2012, 2012 Cairo International Biomedical Engineering Conference (CIBEC).

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

M. Akram, K. Hameed, Rashid Ahmad, 2022, ISA transactions.

Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns

M. Usman Akram, Arslan Shaukat, Masood Ahmad, 2017, 2017 40th International Conference on Telecommunications and Signal Processing (TSP).

Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques

Awais Ahmad, Shehzad Khalid, M. Usman Akram, 2018, Soft Comput..

Comparison of different de-noising techniques for removal of poison noise from cervical X-Rays images

M. Akram, A. Salam, Muhammad Asim, 2017, 2017 International Conference on Communication, Computing and Digital Systems (C-CODE).

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

Taimur Hassan, M. Akram, N. Werghi, 2020, IEEE Transactions on Biomedical Engineering.

Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images

M. Akram, H. Inam, Fahim Ullah, 2023, Sustainability.

An automated system for colored retinal image background and noise segmentation

M. Usman Akram, Anam Tariq, M. Akram, 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

Background and Noise Extraction from Colored Retinal Images

Muhammad Younus Javed, M. Usman Akram, Muhammad Almas Anjum, 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

Requirement Engineering Practices in Pakistan Software Industry: Major Problems

Adnan Abid, Muhammad Farooq, Saif Ullah, 2014 .

Personal identification using computerized human ear recognition system

M. Usman Akram, Anam Tariq, M. Almas Anjum, 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

Personal Identification Using Ear Recognition

M. Usman Akram, Anam Tariq, M. Akram, 2012 .

ECG Based Biometric Identification for Population with Normal and Cardiac Anomalies Using Hybrid HRV and DWT Features

M. Usman Akram, Arslan Shaukat, Muhammad Najam Dar, 2015, 2015 5th International Conference on IT Convergence and Security (ICITCS).

Automated Computer Aided Detection of Cataract

M. Usman Akram, Kamran Wazir, Albab Ahmad Khan, 2016, AECIA.

Improved automated detection of glaucoma from fundus image using hybrid structural and textural features

M. Usman Akram, Amina Jameel, Samina Khalid, 2017, IET Image Process..

Benchmark data set for glaucoma detection with annotated cup to disc ratio

Anum Abdul Salam, M. Usman Akram, Kamran Wazir, 2017, 2017 International Conference on Signals and Systems (ICSigSys).

Diagnosis Of Cassava Leaf Diseases and Classification Using Deep Learning Techniques

M. Akram, Syed Mursleen Riaz, Muhammad Ahsan, 2022, 2022 16th International Conference on Open Source Systems and Technologies (ICOSST).

Drusen exudate lesion discrimination in colour fundus images

M. Usman Akram, Saima Waseem, Bilal Ashfaq Ahmed, 2014, 2014 14th International Conference on Hybrid Intelligent Systems.

Hybrid classifier based drusen detection in colored fundus images

M. Usman Akram, Anam Tariq, Ghazanfar Raza, 2013, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

Automated drusen segmentation in fundus images for diagnosing age related macular degeneration

M. Usman Akram, Anam Tariq, Sundus Mujtaba, 2013, 2013 International Conference on Electronics, Computer and Computation (ICECCO).

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

M. Usman Akram, Imran Siddiqi, Shahid Ismail Malik, 2021, EURASIP J. Adv. Signal Process..

EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning

Muhammad Najam Dar, M. Akram, M. Murugappan, 2022, Comput. Biol. Medicine.

RIDB: A Dataset of fundus images for retina based person identification

M. Usman Akram, Sajid Gul Khawaja, Shoab Ahmed Khan, 2020, Data in brief.

Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy

M. Usman Akram, Shoab Ahmad Khan, M. Akram, 2012, Journal of Medical Systems.

Analysis of EEG Signals for Detection of Epileptic Seizure Using Hybrid Feature Set

M. Usman Akram, Ammama Furrukh Gill, Syeda Alishbah Fatima, 2015 .

Localization and classification of heart beats in phonocardiography signals —a comprehensive review

M. Akram, I. Siddiqi, Shahid Ismail Malik, 2018, EURASIP J. Adv. Signal Process..

Detection of neovascularization in retinal images using multivariate m-Mediods based classifier

Muhammad Younus Javed, Shehzad Khalid, M. Usman Akram, 2013, Comput. Medical Imaging Graph..

Detection of Neovascularization for Screening of Proliferative Diabetic Retinopathy

M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, 2012, ICIAR.

Retinal Images: Optic Disk Localization and Detection

Wasi Haider Butt, M. Usman Akram, Khalid Iqbal, 2010, ICIAR.

Automated optic disk localization and detection in colored retinal images

M. Usman Akram, Anam Tariq, M. Akram, 2009, FIT.

Identification and classification of microaneurysms for early detection of diabetic retinopathy

Shehzad Khalid, M. Usman Akram, Shoab Ahmad Khan, 2013, Pattern Recognit..

Fully Convolutional Neural Network for Lungs Segmentation from Chest X-Rays

Taimur Hassan, M. Usman Akram, Rabia Rashid, 2018, ICIAR.

Vertebrae localization and spine segmentation on radiographic images for feature‐based curvature classification for scoliosis

M. Akram, A. M. Syed, Joddat Fatima, 2022, Concurr. Comput. Pract. Exp..

Vision Transformer and Language Model Based Radiology Report Generation

G. Rasool, M. Akram, N. Alghamdi, 2023, IEEE Access.

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

M. Akram, A. M. Syed, Joddat Fatima, 2021, EURASIP J. Image Video Process..

A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset

M. Akram, Anum Abdul Salam, N. Alghamdi, 2022, Diagnostics.

Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy

M. Akram, S. Khan, 2013, Engineering with Computers.

Parallel architecture for implementation of frequent itemset mining using FP-growth

Shoab A. Khan, Muhammad Usman Akram, Sajid Gul Khawaja, 2017, 2017 International Conference on Signals and Systems (ICSigSys).

Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features

Syed Muhammad Anwar, Anum Abdul Salam, M. Usman Akram, 2015, 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

PCG classification through spectrogram using transfer learning

M. Akram, I. Siddiqi, Shahid Ismail Malik, 2023, Biomedical Signal Processing and Control.

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

M. Usman Akram, Arslan Shaukat, Shoab Ahmed Khan, 2021, Journal of Digital Imaging.

Facial Expression Recognition Using Multiple Feature Sets

M. Usman Akram, Arslan Shaukat, Mansoor Aziz, 2015, 2015 5th International Conference on IT Convergence and Security (ICITCS).

WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation

M. Usman Akram, Shoab Ahmed Khan, Sidra Rashid, 2015, EUSPN/ICTH.

Automated detection of exudates and macula for grading of diabetic macular edema

Muhammad Younus Javed, M. Usman Akram, Anam Tariq, 2014, Comput. Methods Programs Biomed..

Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels

M. Usman Akram, Arslan Shaukat, Shehzad Khalid, 2015, Journal of Medical Systems.

Covert Network Analysis for Key Player Detection and Event Prediction Using a Hybrid Classifier

Muhammad Younus Javed, Wasi Haider Butt, Shoab A Khan, 2014, TheScientificWorldJournal.

A surrogate channel based analysis of EEG signals for detection of epileptic seizure

M. Usman Akram, Sajid Gul Khawaja, Saqib Ejaz Awan, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Time domain analysis of EEG signals for detection of epileptic seizure

M. Usman Akram, Ammama Furrukh Gill, Syeda Alishbah Fatima, 2014, 2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA).

sEMG dataset of routine activities

Asad Mansoor Khan, Muhammad Usman Akram, Sajid Gul Khawaja, 2020, Data in brief.

Tumor micro-environment sensitive release of doxorubicin through chitosan based polymeric nanoparticles: An in-vitro study.

R. Luque, M. Akram, Naseem Abbas, 2022, Chemosphere.

Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies

Taimur Hassan, M. Akram, H. Raja, 2022, IETE Journal of Research.

Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs.

Taimur Hassan, Mahmood Akhtar, Wasi Haider Butt, 2017, Biomedical optics express.

A Robust Algorithm for Optic Disc Segmentation from Colored Fundus Images

M. Usman Akram, Anam Usman, Sarmad Abbas Khitran, 2014, ICIAR.

Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis

Arslan Shaukat, Aqib Perwaiz, Muhammad Usman Akram, 2020, Int. J. Imaging Syst. Technol..

An overview of automated glaucoma detection

Amina Jameel, Muhammad Usman Akram, Tehmina Khalil, 2017, 2017 Computing Conference.

Dilated Convolution and Residual Network based Convolutional Neural Network for Recognition of Disastrous Events

Taimur Hassan, M. Akram, Anum Abdul Salam, 2022, 2022 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula

Taimur Hassan, Mahmood Akhtar, M. Usman Akram, 2018, Journal of Medical Systems.

Deep Learning Based Automated Extraction of Intra-Retinal Layers for Analyzing Retinal Abnormalities

Taimur Hassan, M. Usman Akram, Anam Usman, 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).

BIOMISA Retinal Image Database for Macular and Ocular Syndromes

Taimur Hassan, M. Usman Akram, Ubaidullah Yasin, 2018, ICIAR.

High resolution OCT image generation using super resolution via sparse representation

Taimur Hassan, Muhammad Asif, Arslan Shaukat, 2017, International Conference on Graphic and Image Processing.

Analysis of optical coherence tomography images using deep convolutional neural network for maculopathy grading

Taimur Hassan, Muhammad Usman Akram, Imran Basit, 2020 .

Retinal image analysis for diagnosis of macular edema using digital fundus images

M. Usman Akram, Anam Tariq, M. Akram, 2013, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

A computer aided system for grading of maculopathy

M. U. Akram, S. A. Khan, A. Tariq, 2012, 2012 Cairo International Biomedical Engineering Conference (CIBEC).

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

M. Akram, N. Alghamdi, Amina Jameel, 2021, IET Image Process..

Extraction and Analysis of RPE layer from OCT Images for Detection of Age Related Macular Degeneration

Asad Waqar Malik, M. Usman Akram, Muhammad Majid Sharif, 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).

A Framework for Extraction of Inner Limiting Membrane in High Speckle Noisy Images

M. Usman Akram, Aneeqa Ramzan, Tehmina Khalil, 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).

Unsupervised Neural Network optimized with Sequential Quadratic Programming for Linear and Non-Linear Dynamical Systems

M. Usman Akram, Arslan Shaukat, Muhammad Kashan Basit, 2016, ICSPS 2016.

Automated system for the detection of hypertensive retinopathy

M. Usman Akram, Anam Usman, Ubaidullah Yasin, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

Analysis of OCT Images for Detection of Choroidal Neovascularization in Retinal Pigment Epithelial Layer

M. Usman Akram, Sadaf Ayaz, Sadaf Sahar, 2014, ICONIP.

Person Detection by Fusion of Visible and Thermal Images Using Convolutional Neural Network

Bushra Khalid, Asad Mansoor Khan, Muhammad Usman Akram, 2019, 2019 2nd International Conference on Communication, Computing and Digital systems (C-CODE).

Gabor wavelet based vessel segmentation in retinal images

M. Usman Akram, Anam Tariq, Shoab Ahmad Khan, 2009, 2009 IEEE Symposium on Computational Intelligence for Image Processing.

ECG biometric identification for general population using multiresolution analysis of DWT based features

M. Usman Akram, Shoab Ahmad Khan, Muhammad Najam Dar, 2015, 2015 Second International Conference on Information Security and Cyber Forensics (InfoSec).

A pruned fuzzy k-nearest neighbor classifier with application to electrocardiogram based cardiac arrhytmia recognition

M. Arif, F.A. Afsar, M.U. Akram, 2008, 2008 IEEE International Multitopic Conference.

Bright region and vessel density based robust optic disc segmentation

M. Usman Akram, Sarmad Abbas Khitran, Noor ul Huda, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques

Shehzad Khalid, M. Usman Akram, Anam Tariq, 2015, Australasian Physical & Engineering Sciences in Medicine.

Computer aided diagnostic system for grading of diabetic retinopathy

Muhammad Younus Javed, M. Usman Akram, Anam Tariq, 2013, 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI).

Automated segmentation of blood vessels for detection of proliferative diabetic retinopathy

M. Usman Akram, Anam Tariq, Junaid Imtiaz, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.