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Muhammad Usman Akram

Showing results (1-10 of 49) with videos related to

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Data in Brief|February 2, 2024
UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC)Muhammad Waqas Ahmad, Muhammad Usman Akram
Plos One|January 17, 2023
Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localizationAsad Khan, Muhammad Usman Akram, Sajid Nazir
Computers in Biology and Medicine|March 2, 2023
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networksSajid Nazir, Diane M Dickson, Muhammad Usman Akram
Pakistan Journal of Medical Sciences|November 8, 2023
Pleomorphic adenomia of lower lip: A case reportMuhammad Usman Akram, Nausheen Hasham, Hafsa Atique, et al.
IEEE Transactions on Bio-Medical Engineering|October 12, 2020
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous ProgressionHina Raja, Taimur Hassan, Muhammad Usman Akram, et al.
Scientific Reports|November 13, 2025
Mathematical modeling of heart rate tracking in motion affected PPG signalsShahid Ismail, Muhammad Usman Akram, Imran Siddiqi, et al.
Computers in Biology and Medicine|May 19, 2021
An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographsMehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, et al.
Computers in Biology and Medicine|January 8, 2019
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scansTaimur Hassan, Muhammad Usman Akram, Muhammad Furqan Masood, et al.
IEEE Journal of Biomedical and Health Informatics|April 1, 2020
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal PathologyTaimur Hassan, Muhammad Usman Akram, Naoufel Werghi, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image DatasetAyesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Data in Brief|February 2, 2024
UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC)Muhammad Waqas Ahmad, Muhammad Usman Akram
Plos One|January 17, 2023
Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localizationAsad Khan, Muhammad Usman Akram, Sajid Nazir
Computers in Biology and Medicine|March 2, 2023
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networksSajid Nazir, Diane M Dickson, Muhammad Usman Akram
Pakistan Journal of Medical Sciences|November 8, 2023
Pleomorphic adenomia of lower lip: A case reportMuhammad Usman Akram, Nausheen Hasham, Hafsa Atique, et al.
IEEE Transactions on Bio-Medical Engineering|October 12, 2020
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous ProgressionHina Raja, Taimur Hassan, Muhammad Usman Akram, et al.
Scientific Reports|November 13, 2025
Mathematical modeling of heart rate tracking in motion affected PPG signalsShahid Ismail, Muhammad Usman Akram, Imran Siddiqi, et al.
Computers in Biology and Medicine|May 19, 2021
An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographsMehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, et al.
Computers in Biology and Medicine|January 8, 2019
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scansTaimur Hassan, Muhammad Usman Akram, Muhammad Furqan Masood, et al.
IEEE Journal of Biomedical and Health Informatics|April 1, 2020
RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal PathologyTaimur Hassan, Muhammad Usman Akram, Naoufel Werghi, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
A Deep Learning Based Approach for Grading of Diabetic Retinopathy Using Large Fundus Image DatasetAyesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, et al.
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