Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study
2024 · The Lancet · 206 citations
https://doi.org/10.1016/s0140-6736(24)00596-8
M
Muhammad Siddique
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Muhammad Siddique is an academic researcher from Lahore University of Management Sciences. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Cardiovascular Disease and Adiposity & Machine Fault Diagnosis Techniques. The author has an h-index of 23, co-authored 67 publications.
ORCID: 0009-0005-5807-7056Papers by this author
worksDeep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography
2023 · JACC. Cardiovascular imaging · 86 citations
https://doi.org/10.1016/j.jcmg.2022.11.018
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction
2025 · Sensors · 42 citations
https://doi.org/10.3390/s25092712
A new dual-input CNN for multimodal fault classification using acoustic emission and vibration signals
2025 · Engineering Failure Analysis · 30 citations
https://doi.org/10.1016/j.engfailanal.2025.109787
Texture analysis of 125I-A5B7 anti-CEA antibody SPECT differentiates metastatic colorectal cancer model phenotypes and anti-vascular therapy response
2015 · British Journal of Cancer · 22 citations
https://doi.org/10.1038/bjc.2015.166
A Hybrid Deep Learning Framework for Fault Diagnosis in Milling Machines
2025 · Sensors · 13 citations
https://doi.org/10.3390/s25185866
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