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Farnoosh Naderkhani

Showing results (1-10 of 11) with videos related to

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Expert Systems with Applications|September 27, 2021
<math></math> : COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement predictionFarnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG SignalsMansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, et al.
Scientific Reports|July 7, 2023
Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signalsMansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, et al.
Pattern Recognition Letters|September 22, 2020
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray imagesParnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, et al.
Scientific Reports|May 16, 2020
3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy PredictionParnian Afshar, Anastasia Oikonomou, Farnoosh Naderkhani, et al.
Scientific Reports|February 26, 2022
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT imagesNastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, et al.
Scientific Data|April 30, 2021
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learningParnian Afshar, Shahin Heidarian, Nastaran Enshaei, et al.
Plos One|March 2, 2023
Robust framework for COVID-19 identication from a multicenter dataset of chest CT scansSadaf Khademi, Shahin Heidarian, Parnian Afshar, et al.
Scientific Reports|March 23, 2022
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule networkParnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, et al.
Frontiers in Artificial Intelligence|June 11, 2021
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT ScansShahin Heidarian, Parnian Afshar, Nastaran Enshaei, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Expert Systems with Applications|September 27, 2021
<math></math> : COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement predictionFarnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG SignalsMansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, et al.
Scientific Reports|July 7, 2023
Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signalsMansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, et al.
Pattern Recognition Letters|September 22, 2020
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray imagesParnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, et al.
Scientific Reports|May 16, 2020
3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy PredictionParnian Afshar, Anastasia Oikonomou, Farnoosh Naderkhani, et al.
Scientific Reports|February 26, 2022
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT imagesNastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, et al.
Scientific Data|April 30, 2021
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learningParnian Afshar, Shahin Heidarian, Nastaran Enshaei, et al.
Plos One|March 2, 2023
Robust framework for COVID-19 identication from a multicenter dataset of chest CT scansSadaf Khademi, Shahin Heidarian, Parnian Afshar, et al.
Scientific Reports|March 23, 2022
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule networkParnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, et al.
Frontiers in Artificial Intelligence|June 11, 2021
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT ScansShahin Heidarian, Parnian Afshar, Nastaran Enshaei, et al.
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