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Farshid Hajati

Showing results (1-10 of 17) with videos related to

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Medical Engineering & Physics|March 2, 2022
EISI: Extended inter-spike interval for mental health patients clustering based on mental health services and medications utilisationFarshid Hajati, Federico Girosi, Alireza Rafiei
International Journal of Medical Informatics|December 18, 2025
Spectral anomaly detection in physiological time-series data: A systematic reviewEmil Mittag, Farshid Hajati, Raymond Chiong
Plos One|October 19, 2019
Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention networkSamuele Fiorini, Farshid Hajati, Annalisa Barla, et al.
Healthcare (Basel, Switzerland)|June 28, 2023
Ensemble Learning for Disease Prediction: A ReviewPalak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Scientific Reports|May 27, 2026
Deep learning for apple leaf disease diagnosis: a comparative study with convolutional neural networks and transformersSoroush Toutounchian, Amirhosein Zobeiri, Alireza Rezaee, et al.
Computers in Biology and Medicine|November 23, 2020
SSP: Early prediction of sepsis using fully connected LSTM-CNN modelAlireza Rafiei, Alireza Rezaee, Farshid Hajati, et al.
BMJ Open|March 11, 2018
Patterns and trends of potentially inappropriate high-density lipoprotein cholesterol testing in Australian adults at high risk of cardiovascular disease from 2008 to 2014: analysis of linked individual patient data from the Australian Medicare Benefits Schedule and Pharmaceutical Benefits SchemeFarshid Hajati, Evan Atlantis, Katy J L Bell, et al.
Scientific Reports|July 23, 2025
An explainable transformer model for Alzheimer's disease detection using retinal imagingSaeed Jamshidiha, Alireza Rezaee, Farshid Hajati, et al.
Expert Systems with Applications|May 25, 2022
Fast COVID-19 versus H1N1 screening using Optimized Parallel InceptionAlireza Tavakolian, Farshid Hajati, Alireza Rezaee, et al.
International Journal of Medical Informatics|October 31, 2024
Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysisAmirhosein Zobeiri, Alireza Rezaee, Farshid Hajati, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Medical Engineering & Physics|March 2, 2022
EISI: Extended inter-spike interval for mental health patients clustering based on mental health services and medications utilisationFarshid Hajati, Federico Girosi, Alireza Rafiei
International Journal of Medical Informatics|December 18, 2025
Spectral anomaly detection in physiological time-series data: A systematic reviewEmil Mittag, Farshid Hajati, Raymond Chiong
Plos One|October 19, 2019
Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention networkSamuele Fiorini, Farshid Hajati, Annalisa Barla, et al.
Healthcare (Basel, Switzerland)|June 28, 2023
Ensemble Learning for Disease Prediction: A ReviewPalak Mahajan, Shahadat Uddin, Farshid Hajati, et al.
Scientific Reports|May 27, 2026
Deep learning for apple leaf disease diagnosis: a comparative study with convolutional neural networks and transformersSoroush Toutounchian, Amirhosein Zobeiri, Alireza Rezaee, et al.
Computers in Biology and Medicine|November 23, 2020
SSP: Early prediction of sepsis using fully connected LSTM-CNN modelAlireza Rafiei, Alireza Rezaee, Farshid Hajati, et al.
BMJ Open|March 11, 2018
Patterns and trends of potentially inappropriate high-density lipoprotein cholesterol testing in Australian adults at high risk of cardiovascular disease from 2008 to 2014: analysis of linked individual patient data from the Australian Medicare Benefits Schedule and Pharmaceutical Benefits SchemeFarshid Hajati, Evan Atlantis, Katy J L Bell, et al.
Scientific Reports|July 23, 2025
An explainable transformer model for Alzheimer's disease detection using retinal imagingSaeed Jamshidiha, Alireza Rezaee, Farshid Hajati, et al.
Expert Systems with Applications|May 25, 2022
Fast COVID-19 versus H1N1 screening using Optimized Parallel InceptionAlireza Tavakolian, Farshid Hajati, Alireza Rezaee, et al.
International Journal of Medical Informatics|October 31, 2024
Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysisAmirhosein Zobeiri, Alireza Rezaee, Farshid Hajati, et al.
Pageof 2