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Shahin Heidarian

Showing results (1-10 of 7) with videos related to

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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.
Journal of Imaging|October 28, 2025
Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion ModuleSadaf Khademi, Shahin Heidarian, Parnian Afshar, 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 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
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.
Journal of Imaging|October 28, 2025
Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion ModuleSadaf Khademi, Shahin Heidarian, Parnian Afshar, 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 1