Fusion-based tensor radiomics using reproducible features: application to survival prediction in head and neck cancer
MR Salmanpour, M Hosseinzadeh, SM Rezaeijo… - Computer Methods and …, 2023 - Elsevier
Background Numerous features are commonly generated in radiomics applications as
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
applied to medical imaging, and identification of robust radiomics features (RFs) can be an …
[HTML][HTML] Deep versus handcrafted tensor radiomics features: prediction of survival in head and neck cancer using machine learning and fusion techniques
MR Salmanpour, SM Rezaeijo, M Hosseinzadeh… - Diagnostics, 2023 - mdpi.com
Background: Although handcrafted radiomics features (RF) are commonly extracted via
radiomics software, employing deep features (DF) extracted from deep learning (DL) algorithms …
radiomics software, employing deep features (DF) extracted from deep learning (DL) algorithms …
[HTML][HTML] Prediction of cognitive decline in Parkinson's disease using clinical and DAT SPECT imaging features, and hybrid machine learning systems
Background: We aimed to predict Montreal Cognitive Assessment (MoCA) scores in Parkinson’s
disease patients at year 4 using handcrafted radiomics (RF), deep (DF), and clinical (CF…
disease patients at year 4 using handcrafted radiomics (RF), deep (DF), and clinical (CF…
Aerospace-grade surface mounted optical fibre strain sensor for structural health monitoring on composite structures evaluated against in-flight conditions
…, T Geernaert, MS Salmanpour… - Smart Materials and …, 2019 - iopscience.iop.org
Optical fibre sensors are being investigated since many years as candidates of choice for
supporting structural health monitoring (SHM) in aerospace applications. Fibre Bragg grating (…
supporting structural health monitoring (SHM) in aerospace applications. Fibre Bragg grating (…
[HTML][HTML] Impact damage localisation with piezoelectric sensors under operational and environmental conditions
Guided-wave structural health monitoring (SHM) systems with piezoelectric sensors are
investigated for localisation of barely visible impact damage in CFRP plates under vibration and …
investigated for localisation of barely visible impact damage in CFRP plates under vibration and …
[HTML][HTML] Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learning
Background We employed machine learning approaches to (I) determine distinct progression
trajectories in Parkinson’s disease (PD)(unsupervised clustering task), and (II) predict …
trajectories in Parkinson’s disease (PD)(unsupervised clustering task), and (II) predict …
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease
Objectives The present work focuses on assessment of Parkinson's disease (PD), including
both PD subtype identification (unsupervised task) and prediction (supervised task). We …
both PD subtype identification (unsupervised task) and prediction (supervised task). We …
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease
Background Given the increasing recognition of the significance of non-motor symptoms in
Parkinson's disease, we investigate the optimal use of machine learning methods for the …
Parkinson's disease, we investigate the optimal use of machine learning methods for the …
The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights
…, SM Rezaeijo, CG Rookyard, MR Salmanpour… - Radiology, 2024 - pubs.rsna.org
Filters are commonly used to enhance specific structures and patterns in images, such as
vessels or peritumoral regions, to enable clinical insights beyond the visible image using …
vessels or peritumoral regions, to enable clinical insights beyond the visible image using …
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning
Objectives It is important to subdivide Parkinson's disease (PD) into subtypes, enabling
potentially earlier disease recognition and tailored treatment strategies. We aimed to identify …
potentially earlier disease recognition and tailored treatment strategies. We aimed to identify …