Short-and long-term chest-CT findings after recovery from COVID-19: a systematic review and meta-analysis

M Babar, H Jamil, N Mehta, A Moutwakil, TQ Duong - Diagnostics, 2024 - mdpi.com
While ground-glass opacity, consolidation, and fibrosis in the lungs are some of the
hallmarks of acute SAR-CoV-2 infection, it remains unclear whether these pulmonary …

Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays

GVE Rao, B Rajitha, PN Srinivasu, MF Ijaz… - … Signal Processing and …, 2024 - Elsevier
The human respiratory system might be seriously affected by COVID-19 infection. Therefore,
early classification of it is a crucial task. Quantum machine learning and quantum neural …

A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network

N Ullah, JA Khan, S El-Sappagh, N El-Rashidy… - Diagnostics, 2023 - mdpi.com
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …

[HTML][HTML] Brain tumor classification and detection using hybrid deep tumor network

GA Amran, MS Alsharam, AOA Blajam, AA Hasan… - Electronics, 2022 - mdpi.com
Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …

PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning

F Yasmin, MM Hassan, M Hasan, S Zaman… - Ieee …, 2023 - ieeexplore.ieee.org
Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …

[HTML][HTML] A robust end-to-end deep learning-based approach for effective and reliable BTD using MR images

N Ullah, MS Khan, JA Khan, A Choi, MS Anwar - Sensors, 2022 - mdpi.com
Detection of a brain tumor in the early stages is critical for clinical practice and survival rate.
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …

Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images

N Ullah, M Hassan, JA Khan, MS Anwar… - … Journal of Imaging …, 2024 - Wiley Online Library
Early detection of brain tumors is vital for improving patient survival rates, yet the manual
analysis of the extensive 3D MRI images can be error‐prone and time‐consuming. This …

Artificial Intelligence (AI)-based systems for automatic skeletal maturity assessment through bone and teeth analysis: a revolution in the radiological workflow?

E Caloro, M Cè, D Gibelli, A Palamenghi… - Applied Sciences, 2023 - mdpi.com
Bone age is an indicator of bone maturity and is useful for the treatment of different pediatric
conditions as well as for legal issues. Bone age can be assessed by the analysis of different …

A natural language processing (NLP) evaluation on COVID‐19 rumour dataset using deep learning techniques

R Fatima, N Samad Shaikh, A Riaz… - Computational …, 2022 - Wiley Online Library
Context and Background: Since December 2019, the coronavirus (COVID‐19) epidemic has
sparked considerable alarm among the general community and significantly affected …