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Parnian Afshar

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

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
BoostCaps: A Boosted Capsule Network for Brain Tumor ClassificationParnian Afshar, Konstantinos N Plataniotis, Arash Mohammadi
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.
IEEE Signal Processing Magazine|September 24, 2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student CompetitionArash Mohammadi, Parnian Afshar, Amir Asif, 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.
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 Reports|July 25, 2020
<math> </math>: deep learning-based radiomics for the time-to-event outcome prediction in lung cancerParnian Afshar, Arash Mohammadi, Pascal N Tyrrell, 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.
Pageof 2

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

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
BoostCaps: A Boosted Capsule Network for Brain Tumor ClassificationParnian Afshar, Konstantinos N Plataniotis, Arash Mohammadi
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.
IEEE Signal Processing Magazine|September 24, 2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student CompetitionArash Mohammadi, Parnian Afshar, Amir Asif, 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.
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 Reports|July 25, 2020
<math> </math>: deep learning-based radiomics for the time-to-event outcome prediction in lung cancerParnian Afshar, Arash Mohammadi, Pascal N Tyrrell, 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.
Pageof 2