Muhammad Usman Akram

About Muhammad Usman Akram

Muhammad Usman Akram, With an exceptional h-index of 46 and a recent h-index of 37 (since 2020), a distinguished researcher at National University of Sciences and Technology, specializes in the field of medical image analysis, biometrics, pattern recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Enhanced Agile V-Model: Conformance to regulatory bodies and experiences from model's adoption to medical device development.

Classification of Fetal Cardiac Arrhythmia Using Heart Rate Variability and Machine Learning

Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission

UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC)

Transformer-based sensor failure prediction and classification framework for UAVs

Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images

A comprehensive review of artificial intelligence models for screening major retinal diseases

Smart and automated infrastructure management: A deep learning approach for crack detection in bridge images

Muhammad Usman Akram Information

University

Position

Associate Professor & Director BIOMISA Research Group

Citations(all)

6959

Citations(since 2020)

4707

Cited By

3760

hIndex(all)

46

hIndex(since 2020)

37

i10Index(all)

154

i10Index(since 2020)

120

Email

University Profile Page

National University of Sciences and Technology

Google Scholar

View Google Scholar Profile

Muhammad Usman Akram Skills & Research Interests

medical image analysis

biometrics

pattern recognition

Top articles of Muhammad Usman Akram

Title

Journal

Author(s)

Publication Date

An Enhanced Agile V-Model: Conformance to regulatory bodies and experiences from model's adoption to medical device development.

Heliyon

Aliya A Khan

Muhammad U Akram

Wasi H Butt

Mehreen Sirshar

2024/2/28

Classification of Fetal Cardiac Arrhythmia Using Heart Rate Variability and Machine Learning

Muhammad Arslan Shahid

Arslan Shaukat

Muhammad Usman Akram

Wasi Haider Butt

2024/2/19

Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission

Nadia Rasheed

Muhammad Usman Akram

Jahan Zeb

2024/2/19

UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC)

Data in Brief

Muhammad Waqas Ahmad

Muhammad Usman Akram

2024/2/1

Transformer-based sensor failure prediction and classification framework for UAVs

Expert Systems with Applications

Muhammad Waqas Ahmad

Muhammad Usman Akram

Mashood Mohammad Mohsan

Kashif Saghar

Rashid Ahmad

...

2024/8/15

Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images

Scientific Reports

Muhammad Zeeshan Asaf

Babar Rao

Muhammad Usman Akram

Sajid Gul Khawaja

Samavia Khan

...

2024/1/28

A comprehensive review of artificial intelligence models for screening major retinal diseases

Abdul Qayyum

Abdesslam Benzinou

Kamal Nasreddine

Catherine Borremans

Daniela Zeppilli

2021/9/12

Smart and automated infrastructure management: A deep learning approach for crack detection in bridge images

Sustainability

Hina Inam

Naeem Ul Islam

Muhammad Usman Akram

Fahim Ullah

2023/1/18

Glaucoma detection using optical coherence tomography images: a systematic review of clinical and automated studies

Ari Leshno

Carlos Gustavo De Moraes

Emmanouil Tsamis

Sol La Bruna

George A Cioffi

...

2024/2/1

A Modified Deep Semantic Segmentation Model for Analysis of Whole Slide Skin Images

Muhammad Zeeshan Asaf

Hamid Rasul

Muhammad Usman Akram

Tazeen Hina

Tayyab Rashid

...

2023/6/2

Signal Processing and Deep Learning Based Smartwatch Photoplethysmography Data Classification of Atrial Fibrillation, Premature Atrial and Ventricular Contraction

Aaisha Javed

Muhammad Usman Akram

Norah Saleh Alghamdi

2023/7/3

An Intelligent Model to Predict Cardiovascular Disease using Machine Learning Techniques

Zawaria Sadaf

Sajid Gul Khawaja

Muhammad Usman Akram

2023/11/17

Recognition of Children’s Facial Expressions Using Deep Learned Features

Electronics

Unqua Laraib

Arslan Shaukat

Rizwan Ahmed Khan

Zartasha Mustansar

Muhammad Usman Akram

...

2023/5/26

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

PLoS One

Asad Khan

Muhammad Usman Akram

Sajid Nazir

2023/1/17

Proliferative Diabetic Retinopathy Diagnosis Using Varying-Scales Filter Banks and Double-Layered Thresholding

Diagnostics

Noor ul Huda

Anum Abdul Salam

Norah Saleh Alghamdi

Jahan Zeb

Muhammad Usman Akram

2023/6/30

Tissue Culture of Medicinal Plants

Isha Fatima

Muhammad Akram

Hamid Mukhtar

Umar Farooq Gohar

Zahoor Ahmad Sajid

...

2023/10/10

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

Biomedical Signal Processing and Control

Syeda Noor-Ul-Huda Safder

Muhammad Usman Akram

Muhammad Najam Dar

Aliya Ashraf Khan

Sajid Gul Khawaja

...

2023/5/1

PCG classification through spectrogram using transfer learning

Biomedical Signal Processing and Control

Shahid Ismail

Basit Ismail

Imran Siddiqi

Usman Akram

2023/1/1

Glaucoma diagnosis based on fundus photographs and OCT scans by a humanoid robot

Investigative Ophthalmology & Visual Science

Hina Raja

Muhammad Usman Akram

Siamak Yousefi

2023/6/20

Mentha

Muhammad Akram

Muhammad Tayyab Akhtar

Fatima Akram

Umar Farooq Gohar

2023/10/10

See List of Professors in Muhammad Usman Akram University(National University of Sciences and Technology)

Co-Authors

H-index: 21
Dr Wasi Haider Butt

Dr Wasi Haider Butt

National University of Sciences and Technology

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