Adaptive template generation for amyloid PET using a deep learning approach
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.24210
Abstract: Accurate spatial normalization (SN) of amyloid positron emission tomography (PET) images for Alzheimer's disease assessment without coregistered anatomical magnetic resonance imaging (MRI) of the same individual is technically challenging. In this study, we applied deep… read more here.
Keywords: pet; learning approach; neural networks; deep learning ... See more keywords
A deep learning approach for classification of COVID and pneumonia using DenseNet‐201
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22812
Abstract: In the present paper, our model consists of deep learning approach: DenseNet201 for detection of COVID and Pneumonia using the Chest X‐ray Images. The model is a framework consisting of the modeling software which assists… read more here.
Keywords: pneumonia using; pneumonia; covid pneumonia; deep learning ... See more keywords
A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28069
Abstract: The diagnosis of labral injury on MRI is time‐consuming and potential for incorrect diagnoses. read more here.
Keywords: diagnosis; approach mri; deep learning; learning approach ... See more keywords
Revisiting the dynamic risk profile of cardiovascular/non‐cardiovascular multimorbidity in incident atrial fibrillation patients and five cardiovascular/non‐cardiovascular outcomes: A machine‐learning approach
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Arrhythmia"
DOI: 10.1002/joa3.12555
Abstract: Patients with atrial fibrillation (AF) usually have a heterogeneous co‐morbid history, with dynamic changes in risk factors impacting on multiple adverse outcomes. We investigated a large prospective cohort of patients with multimorbidity, using a machine‐learning… read more here.
Keywords: atrial fibrillation; machine learning; learning approach; non cardiovascular ... See more keywords
Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29148
Abstract: To develop a deep learning approach to estimate the local capillary‐level input function (CIF) for pharmacokinetic model analysis of DCE‐MRI. read more here.
Keywords: capillary level; level input; deep learning; learning approach ... See more keywords
A new numerical learning approach to solve general Falkner–Skan model
Sign Up to like & getrecommendations! Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-01114-8
Abstract: A new numerical learning approach namely Rational Gegenbauer Least Squares Support Vector Machines (RG_LS_SVM), is introduced in this paper. RG_LS_SVM method is a combination of collocation method based on rational Gegenbauer functions and LS_SVM method.… read more here.
Keywords: learning approach; numerical learning; method; falkner skan ... See more keywords
A novel explainable machine learning approach for EEG-based brain-computer interface systems
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05624-w
Abstract: Electroencephalographic (EEG) recordings can be of great help in decoding the open/close hand’s motion preparation. To this end, cortical EEG source signals in the motor cortex (evaluated in the 1-s window preceding movement onset) are… read more here.
Keywords: hand; explainable machine; learning approach; machine learning ... See more keywords
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05704-5
Abstract: Athletes represent the apex of physical capacity filling in a social picture of performance and build. In light of the fundamental contrasts in athletic capacities required for different games, each game demands an alternate body… read more here.
Keywords: learning approach; machine learning; body mass; body ... See more keywords
Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases.
Sign Up to like & getrecommendations! Published in 2021 at "Molecular diversity"
DOI: 10.1007/s11030-021-10260-0
Abstract: With the advancement of combinatorial chemistry and big data, drug repositioning has boomed. In this sense, machine learning and artificial intelligence techniques offer a priori information to identify the most promising candidates. In this study,… read more here.
Keywords: vasoactive metalloproteases; machine learning; learning approach; small molecules ... See more keywords
Nonlinear Shape-Manifold Learning Approach: Concepts, Tools and Applications
Sign Up to like & getrecommendations! Published in 2017 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-016-9189-9
Abstract: In this paper, we present the concept of a “shape manifold” designed for reduced order representation of complex “shapes” encountered in mechanical problems, such as design optimization, springback or image correlation. The overall idea is… read more here.
Keywords: learning approach; shape; manifold learning; nonlinear shape ... See more keywords
Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay
Sign Up to like & getrecommendations! Published in 2019 at "Nano-Micro Letters"
DOI: 10.1007/s40820-019-0239-3
Abstract: HighlightsAn ultrasensitive multiplex biosensor was designed to quantify magnetic nanoparticles on immunochromatography test strips.A machine learning model was constructed and used to classify both weakly positive and negative samples, significantly enhancing specificity and sensitivity.A waveform… read more here.
Keywords: machine; machine learning; learning approach; weak magnetic ... See more keywords