A review of data-driven fault detection and diagnosis methods: Applications in chemical process systems

N Md Nor, CR Che Hassan… - Reviews in Chemical …, 2020 - degruyter.com
Fault detection and diagnosis (FDD) systems are developed to characterize normal
variations and detect abnormal changes in a process plant. It is always important for early …

Computer-aided diagnosis: A survey with bibliometric analysis

R Takahashi, Y Kajikawa - International journal of medical informatics, 2017 - Elsevier
Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …

Ensembles of deep learning architectures for the early diagnosis of the Alzheimer's disease

A Ortiz, J Munilla, JM Gorriz… - International journal of …, 2016 - World Scientific
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …

Independent component analysis-support vector machine-based computer-aided diagnosis system for Alzheimer's with visual support

L Khedher, IA Illán, JM Górriz, J Ramírez… - … journal of neural …, 2017 - World Scientific
Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of
Alzheimer's disease (AD), but limitations on interpretability and performance exist. In this …

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease

A Ortiz, JM Górriz, J Ramírez, FJ Martínez-Murcia… - Pattern Recognition …, 2013 - Elsevier
This paper presents a novel computer-aided diagnosis (CAD) tool for the diagnosis of the
Alzheimer's disease (AD) using structural Magnetic Resonance Images (MRIs). The …

[HTML][HTML] Advances of AI in image-based computer-aided diagnosis: A review

MN Yeasmin, M Al Amin, TJ Joti, Z Aung, MA Azim - Array, 2024 - Elsevier
Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …

Voxel-MARS: a method for early detection of Alzheimer's disease by classification of structural brain MRI

A Çevik, GW Weber, BM Eyüboğlu, KK Oğuz… - Annals of Operations …, 2017 - Springer
Neuroscience is of emerging importance along with the contributions of Operational
Research to the practices of diagnosing neurodegenerative diseases with computer-aided …

Voxel-based morphometry: improving the diagnosis of Alzheimer's disease based on an extreme learning machine method from the ADNI cohort

F Zhang, S Tian, S Chen, Y Ma, X Li, X Guo - Neuroscience, 2019 - Elsevier
Computer-aided diagnosis has become a widely-used auxiliary tool for the diagnosis of
Alzheimer's disease (AD). In this study, we developed an extreme learning machine (ELM) …

Assisted diagnosis of Parkinsonism based on the striatal morphology

F Segovia, JM Górriz, J Ramírez… - … Journal of neural …, 2019 - World Scientific
Parkinsonism is a clinical syndrome characterized by the progressive loss of striatal
dopamine. Its diagnosis is usually corroborated by neuroimaging data such as DaTSCAN …

Application of empirical mode decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson disease

A Rojas, JM Górriz, J Ramírez, IA Illán… - Expert Systems with …, 2013 - Elsevier
Parkinsonism is the second most common neurodegenerative disorder. It includes several
pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane …