Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

M Jafari, A Shoeibi, M Khodatars, N Ghassemi… - Computers in Biology …, 2023 - Elsevier
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application

Q Qian, B Zhang, C Li, Y Mao, Y Qin - Mechanical Systems and Signal …, 2025 - Elsevier
As a crucial role in the prognostic and health management of mechanical equipment, fault
diagnosis encounters serious challenges, such as the scarcity of fault samples, the high cost …

DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images

M Tahir, A Naeem, H Malik, J Tanveer, RA Naqvi… - Cancers, 2023 - mdpi.com
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Hep-pred: hepatitis c staging prediction using fine gaussian svm

TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Blockchain technology in healthcare: A systematic review

H Saeed, H Malik, U Bashir, A Ahmad, S Riaz, M Ilyas… - Plos one, 2022 - journals.plos.org
Blockchain technology (BCT) has emerged in the last decade and added a lot of interest in
the healthcare sector. The purpose of this systematic literature review (SLR) is to explore the …

A comprehensive analysis of recent deep and federated-learning-based methodologies for brain tumor diagnosis

A Naeem, T Anees, RA Naqvi, WK Loh - Journal of Personalized …, 2022 - mdpi.com
Brain tumors are a deadly disease with a high mortality rate. Early diagnosis of brain tumors
improves treatment, which results in a better survival rate for patients. Artificial intelligence …

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas… - bmj, 2025 - bmj.com
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …

Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds

H Malik, T Anees - Plos one, 2024 - journals.plos.org
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …

[HTML][HTML] Federated and transfer learning methods for the classification of Melanoma and Nonmelanoma skin cancers: a prospective study

S Riaz, A Naeem, H Malik, RA Naqvi, WK Loh - Sensors, 2023 - mdpi.com
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …