M. R. Avendi

881 total citations · 1 hit paper
12 papers, 586 citations indexed

About

M. R. Avendi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. R. Avendi has authored 12 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. R. Avendi's work include Cooperative Communication and Network Coding (8 papers), Advanced MIMO Systems Optimization (5 papers) and Full-Duplex Wireless Communications (5 papers). M. R. Avendi is often cited by papers focused on Cooperative Communication and Network Coding (8 papers), Advanced MIMO Systems Optimization (5 papers) and Full-Duplex Wireless Communications (5 papers). M. R. Avendi collaborates with scholars based in Canada, United States and Vietnam. M. R. Avendi's co-authors include Hamid Jafarkhani, Arash Kheradvar, Ha H. Nguyen and Daisuke Morisawa and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

M. R. Avendi

12 papers receiving 571 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

2016 394 citations M. R. Avendi, Arash Kheradvar et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by M. R. Avendi

Since Specialization

Citations

This map shows the geographic impact of M. R. Avendi'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 M. R. Avendi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Avendi more than expected).

Fields of papers citing papers by M. R. Avendi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. R. Avendi. 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 M. R. Avendi. The network helps show where M. R. Avendi may publish in the future.

Co-authorship network of co-authors of M. R. Avendi

This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Avendi. A scholar is included among the top collaborators of M. R. Avendi 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 M. R. Avendi. M. R. Avendi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks 2020 ·Journal of The Royal Society Interface ·(unknown), Daisuke Morisawa, M. R. Avendi, (unknown), (unknown), Hamid Jafarkhani, Arash Kheradvar	15
2	PyTorch Computer Vision Cookbook 2020 ·M. R. Avendi	1
3	Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach 2017 ·Magnetic Resonance in Medicine ·M. R. Avendi, Arash Kheradvar, Hamid Jafarkhani	95
4	A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI breakdown → 2016 ·Medical Image Analysis ·M. R. Avendi, Arash Kheradvar, Hamid Jafarkhani	394
5	Multiple-symbol differential detection for distributed space-time coding 2014 ·M. R. Avendi, Ha H. Nguyen, (unknown)	1
6	Differential Distributed Space-Time Coding With Imperfect Synchronization in Frequency-Selective Channels 2014 ·IEEE Transactions on Wireless Communications ·M. R. Avendi, Hamid Jafarkhani	20
7	Performance of Selection Combining for Differential Amplify-and-Forward Relaying Over Time-Varying Channels 2014 ·IEEE Transactions on Wireless Communications ·M. R. Avendi, Ha H. Nguyen	23
8	Differential dual‐hop relaying under user mobility 2014 ·IET Communications ·M. R. Avendi, Ha H. Nguyen	4
9	Differential dual-hop relaying over time-varying Rayleigh-fading channels 2013 ·M. R. Avendi, Ha H. Nguyen	4
10	Selection Combining for Differential Amplify-and-Forward Relaying Over Rayleigh-Fading Channels 2013 ·IEEE Signal Processing Letters ·M. R. Avendi, Ha H. Nguyen	11
11	Differential amplify-and-forward relaying in time-varying Rayleigh fading channels 2013 ·M. R. Avendi, Ha H. Nguyen	4
12	Performance of Differential Amplify-and-Forward Relaying in Multinode Wireless Communications 2013 ·IEEE Transactions on Vehicular Technology ·M. R. Avendi, Ha H. Nguyen	14

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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