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Muhammad Adeel Azam

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

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Radiological Physics and Technology|December 31, 2023
Efficient quality assurance for isocentric stability in stereotactic body radiation therapy using machine learningSana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, et al.
Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery|April 13, 2023
Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art ReviewClaudio Sampieri, Chiara Baldini, Muhammad Adeel Azam, et al.
Computer Methods and Programs in Biomedicine|December 17, 2024
Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLOChiara Baldini, Lucia Migliorelli, Daniele Berardini, et al.
Tumori|August 3, 2024
Quality assurance for cancer patient safety: Clinical assessment for precise angles in linac during radiation therapySana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, et al.
Computers in Biology and Medicine|March 4, 2022
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metricsMuhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, et al.
The Laryngoscope|January 4, 2024
Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep LearningClaudio Sampieri, Muhammad Adeel Azam, Alessandro Ioppi, et al.
The Laryngoscope|November 25, 2021
Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer DetectionMuhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, et al.
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|May 2, 2024
An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learningChiara Baldini, Muhammad Adeel Azam, Claudio Sampieri, et al.
Research Square|June 5, 2025
Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AIMohamed Abul Hassan, Lisanne Kraft, Muhammad Adeel Azam, et al.
Frontiers in Oncology|June 20, 2022
Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic ImagesMuhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, et al.
Pageof 1

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

Sort By:
Pageof 1
Radiological Physics and Technology|December 31, 2023
Efficient quality assurance for isocentric stability in stereotactic body radiation therapy using machine learningSana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, et al.
Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery|April 13, 2023
Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art ReviewClaudio Sampieri, Chiara Baldini, Muhammad Adeel Azam, et al.
Computer Methods and Programs in Biomedicine|December 17, 2024
Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLOChiara Baldini, Lucia Migliorelli, Daniele Berardini, et al.
Tumori|August 3, 2024
Quality assurance for cancer patient safety: Clinical assessment for precise angles in linac during radiation therapySana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, et al.
Computers in Biology and Medicine|March 4, 2022
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metricsMuhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, et al.
The Laryngoscope|January 4, 2024
Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep LearningClaudio Sampieri, Muhammad Adeel Azam, Alessandro Ioppi, et al.
The Laryngoscope|November 25, 2021
Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer DetectionMuhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, et al.
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|May 2, 2024
An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learningChiara Baldini, Muhammad Adeel Azam, Claudio Sampieri, et al.
Research Square|June 5, 2025
Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AIMohamed Abul Hassan, Lisanne Kraft, Muhammad Adeel Azam, et al.
Frontiers in Oncology|June 20, 2022
Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic ImagesMuhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, et al.
Pageof 1