Publications by authors named "Muhammad Adeel Azam"

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Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AI.
Mohamed Abul Hassan, Lisanne Kraft, Muhammad Adeel Azam, Julien Bec, Kelsey T Hadfield

Res Sq· May 2025

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Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.
Chiara Baldini, Lucia Migliorelli, Daniele Berardini, Muhammad Adeel Azam, Claudio Sampieri

Comput Methods Programs Biomed· March 2025

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Quality assurance for cancer patient safety: Clinical assessment for precise angles in linac during radiation therapy.
Sana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, Muhammad Adeel Azam, Mamona Aslam

Tumori· October 2024

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An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning.
Chiara Baldini, Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Laura Ruiz-Sevilla

Eur Arch Otorhinolaryngol· August 2024

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Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning.
Claudio Sampieri, Muhammad Adeel Azam, Alessandro Ioppi, Chiara Baldini, Sara Moccia

Laryngoscope· June 2024

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Efficient quality assurance for isocentric stability in stereotactic body radiation therapy using machine learning.
Sana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, Muhammad Adeel Azam, Lidia Strigari

Radiol Phys Technol· March 2024

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Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review.
Claudio Sampieri, Chiara Baldini, Muhammad Adeel Azam, Sara Moccia, Leonardo S Mattos

Otolaryngol Head Neck Surg· October 2023

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Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection.
Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Stefano Africano, Alberto Vallin

Laryngoscope· September 2022

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Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images.
Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Pietro Benzi, Giorgio Gregory Giordano

Front Oncol· June 2022

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A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics.
Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, Eid Rehman, Sajid Ali Khan

Comput Biol Med· May 2022

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