Publications by authors named "Muhammad Usman Akram"

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Mathematical modeling of heart rate tracking in motion affected PPG signals.
Shahid Ismail, Muhammad Usman Akram, Imran Siddiqi, Norah Saleh Alghamdi

Sci Rep· November 2025

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VISGAB: Virtual staining-driven GAN benchmarking for optimizing skin tissue histology.
Muhammad Altaf Hussain, Muhammad Asim Waris, Muhammad Usman Akram, Muhammad Jawad Khan, Muhammad Zeeshan Asaf

Sci Rep· November 2025

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Transformer based spinal vertebrae localization and scoliosis curvature classification.
Syeda Humaira Batool, Noshaba Liaquat, Sajid Gul Khawaja, Norah Saleh Alghamd, Muhammad Usman Akram

Sci Rep· September 2025

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ATLASS: An AnaTomicaLly-Aware Self-Supervised Learning Framework for Generalizable Retinal Disease Detection.
Abdullah Aman Khan, Khwaja Mutahir Ahmad, Sidra Shafiq, Muhammad Usman Akram, Jie Shao

IEEE J Biomed Health Inform· August 2025

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Adding Value to Brewery Industry By-Products as Novel Ingredients in Non-Alcoholic Malt Beverage Applications.
Muhammad Usman Akram, Helen Oluwaseun Agunbiade, Deepak Kadam, Rotimi Emmanuel Aluko, Filiz Koksel

Foods· August 2025

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Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions.
Fatima Ismail, Sajid Gul Khawaja, Asad Mansoor Khan, Umer Hameed Shah, Muhammad Usman Akram

Sci Rep· July 2025

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Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentation.
Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan

Data Brief· April 2025

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CommRad RF: A dataset of communication radio signals for detection, identification and classification.
Muhammad Usama Zahid, Muhammad Usman Akram, Muhammad Danish Nisar, Fahd Maqsood, Syed Usman Ali

Data Brief· April 2025

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Investigation of Phenolic Composition and Antioxidant Capacities in Selected Turkish Indigenous Wheat Varieties.
Muhammad Usman Akram, Ayşegül Bilge Uğuz, Umran Uygun, Ayten Salantur, Remziye Yilmaz

Food Sci Nutr· February 2025

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AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers.
Muhammad Sajid, Ali Hassan, Dilshad Ahmed Khan, Shoab Ahmed Khan, Asim Dilawar Bakhshi, Muhammad Usman Akram

IEEE J Biomed Health Inform· December 2024

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E-Staining DermaRepo: H&E whole slide image staining dataset.
Muhammad Zeeshan Asaf, Anum Abdul Salam, Samavia Khan, Noah Musolff, Muhammad Usman Akram

Data Brief· December 2024

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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

Sci Rep· October 2024

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Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting.
Muhammad Najam Dar, Muhammad Usman Akram, Ahmad Rauf Subhani, Sajid Gul Khawaja, Constantino Carlos Reyes-Aldasoro

Sci Rep· July 2024

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Transformer-based framework for multi-class segmentation of skin cancer from histopathology images.
Muhammad Imran, Mohsin Islam Tiwana, Mashood Mohammad Mohsan, Norah Saleh Alghamdi, Muhammad Usman Akram

Front Med (Lausanne)· April 2024

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UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC).
Muhammad Waqas Ahmad, Muhammad Usman Akram

Data Brief· February 2024

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Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.
Muhammad Zeeshan Asaf, Babar Rao, Muhammad Usman Akram, Sajid Gul Khawaja, Samavia Khan

Sci Rep· January 2024

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Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.
Asad Mansoor Khan, Muhammad Usman Akram, Sajid Nazir, Taimur Hassan, Sajid Gul Khawaja

Biomed Signal Process Control· August 2023

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Proliferative Diabetic Retinopathy Diagnosis Using Varying-Scales Filter Banks and Double-Layered Thresholding.
Noor Ul Huda, Anum Abdul Salam, Norah Saleh Alghamdi, Jahan Zeb, Muhammad Usman Akram

Diagnostics (Basel)· June 2023

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Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.
Sajid Nazir, Diane M Dickson, Muhammad Usman Akram

Comput Biol Med· April 2023

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Amide Functionalized Mesoporous MOF LOCOM-1 as a Stable Highly Active Basic Catalyst for Knoevenagel Condensation Reaction.
Sheereen Afaq, Muhammad Usman Akram, Wasif Mahmood Ahmed Malik, Muhammad Ismail, Abdul Ghafoor

ACS Omega· February 2023

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Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.
Asad Khan, Muhammad Usman Akram, Sajid Nazir

PLoS One· January 2023

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Pleomorphic adenomia of lower lip: A case report.
Muhammad Usman Akram, Nausheen Hasham, Hafsa Atique, Ahmad Raza

Pak J Med Sci· January 2023

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An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals.
Amna Waheed Awan, Syed Muhammad Usman, Shehzad Khalid, Aamir Anwar, Roobaea Alroobaea, Muhammad Usman Akram

Sensors (Basel)· December 2022

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A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image Dataset.
Ayesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, Anum Abdul Salam

Diagnostics (Basel)· December 2022

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Effect of Animal Age, Postmortem Calcium Chloride Marination, and Storage Time on Meat Quality Characteristics of of Buffalo Bulls.
Muawuz Ijaz, Muhammad Hayat Jaspal, Muhammad Usman Akram, Iftikhar Hussain Badar, Muhammad Kashif Yar

Foods· October 2022

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