Parnian Afshar

1.2k total citations
19 papers, 699 citations indexed

About

Parnian Afshar is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Parnian Afshar has authored 19 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Parnian Afshar's work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Parnian Afshar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Parnian Afshar collaborates with scholars based in Canada, Iran and United States. Parnian Afshar's co-authors include Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Moezedin Javad Rafiee, Abbas Ahmadi, Keyvan Farahani and Pascal N. Tyrrell and has published in prestigious journals such as Scientific Reports, IEEE Signal Processing Magazine and IEEE Signal Processing Letters.

In The Last Decade

Parnian Afshar

19 papers receiving 671 citations

Peers

Countries citing papers authored by Parnian Afshar

Since Specialization

Citations

This map shows the geographic impact of Parnian Afshar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Parnian Afshar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parnian Afshar more than expected).

Fields of papers citing papers by Parnian Afshar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parnian Afshar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Parnian Afshar. The network helps show where Parnian Afshar may publish in the future.

Co-authorship network of co-authors of Parnian Afshar

This figure shows the co-authorship network connecting the top 25 collaborators of Parnian Afshar. A scholar is included among the top collaborators of Parnian Afshar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parnian Afshar. Parnian Afshar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction 2023 ·(unknown), Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi	11
2	Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network 2022 ·Scientific Reports ·Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, (unknown), Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi	13
3	COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images 2022 ·Scientific Reports ·Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani	20
4	COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning 2021 ·Scientific Data ·Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, (unknown), (unknown), Konstantinos N. Plataniotis, Arash Mohammadi	134
5	Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data 2021 ·Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi	4
6	An Ensemble Learning Framework For Multi-Class Covid-19 Lesion Segmentation From Chest Ct Images 2021 ·Nastaran Enshaei, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, (unknown), Konstantinos N. Plataniotis, Farnoosh Naderkhani	5
7	Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications 2021 ·IEEE Signal Processing Magazine ·Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Javad Rafiee, (unknown), Svetlana Yanushkevich, Konstantinos N. Plataniotis	12
8	3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction 2020 ·Scientific Reports ·Parnian Afshar, Anastasia Oikonomou, Farnoosh Naderkhani, Pascal N. Tyrrell, Konstantinos N. Plataniotis, Keyvan Farahani, Arash Mohammadi	39
9	$$\text {DRTOP}$$: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer 2020 ·Scientific Reports ·Parnian Afshar, Arash Mohammadi, Pascal N. Tyrrell, Patrick Cheung, (unknown), Konstantinos N. Plataniotis, Elsie T. Nguyen, Anastasia Oikonomou	35
10	MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies 2020 ·Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi	3
11	BoostCaps: A Boosted Capsule Network for Brain Tumor Classification 2020 ·PubMed ·Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi	25
12	BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks 2020 ·IEEE Signal Processing Letters ·Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis	55
13	Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries 2019 ·Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi	239
14	Capsule Networks’ Interpretability for Brain Tumor Classification Via Radiomics Analyses 2019 ·Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi	20
15	A hierarchical stochastic modelling approach for reconstructing lung tumour geometry from 2D CT images 2018 ·Journal of Experimental & Theoretical Artificial Intelligence ·Parnian Afshar, Abbas Ahmadi, (unknown), M.H. Fazel Zarandi	7
16	CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images 2018 ·Parnian Afshar, (unknown), Arash Mohammadi, Konstantinos N. Plataniotis	7
17	Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions] 2018 ·IEEE Signal Processing Magazine ·Arash Mohammadi, Parnian Afshar, Amir Asif, Keyvan Farahani, Justin Kirby, Anastasia Oikonomou, Konstantinos N. Plataniotis	37
18	Lung tumor area recognition in CT images based on Gustafson-Kessel clustering 2016 ·Parnian Afshar, Abbas Ahmadi, M.H. Fazel Zarandi	10
19	Intelligent breast cancer recognition using particle swarm optimization and support vector machines 2015 ·Journal of Experimental & Theoretical Artificial Intelligence ·Abbas Ahmadi, Parnian Afshar	23

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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