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Ashkani Chenarlogh, Vahid
9  Ergebnisse:
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1

Fast and Accurate U-Net Model for Fetal Ultrasound Image Se..:

Ashkani Chenarlogh, Vahid ; Ghelich Oghli, Mostafa ; Shabanzadeh, Ali...
Ultrasonic Imaging.  44 (2022)  1 - p. 25-38 , 2022
Link: https://doi.org/10.1177/..
 
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2

Clinical target segmentation using a novel deep neural netw..:

Ashkani Chenarlogh, Vahid ; Shabanzadeh, Ali ; Ghelich Oghli, Mostafa...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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3

Multi-stream CNN for facial expression recognition in limit..:

Aghamaleki, Javad Abbasi ; Ashkani Chenarlogh, Vahid
Multimedia Tools and Applications.  78 (2019)  16 - p. 22861-22882 , 2019
Link: https://doi.org/10.1007/..
 
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4

A Robust Deep Model for Human Action Recognition in Restric..:

, In: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP),
Chenarlogh, Vahid Ashkani ; Jond, Hossein B ; Platos, Jan - p. 541-544 , 2020
Link: https://doi.org/10.1109/..
 
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5

Multi‐stream 3D CNN structure for human action recognition ..:

Chenarlogh, Vahid Ashkani ; Razzazi, Farbod
IET Computer Vision.  13 (2019)  3 - p. 338-344 , 2019
Link: https://doi.org/10.1049/..
 
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6

A Multi-View Human Action Recognition System in Limited Dat..:

, In: 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS),
Chenarlogh, Vahid Ashkani ; Razzazi, Farbod ; Mohammadyahya, Najmeh - p. 1-11 , 2019
Link: https://doi.org/10.1109/..
 
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7

Clinical target segmentation using a novel deep neural netw..:

Ashkani Chenarlogh, Vahid ; Shabanzadeh, Ali ; Ghelich Oghli, Mostafa...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038725/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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8

Clinical target segmentation using a novel deep neural netw..:

Vahid Ashkani Chenarlogh ; Ali Shabanzadeh ; Mostafa Ghelich Oghli...
https://doi.org/10.1038/s41598-022-10429-z.  , 2022
Link: https://doi.org/10.1038/..
 
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9

Multi‐stream 3D CNN structure for human action recognition ..:

Vahid Ashkani Chenarlogh ; Farbod Razzazi
https://doi.org/10.1049/iet-cvi.2018.5088.  , 2019
Link: https://doi.org/10.1049/..
 
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