E-LIB Suche - Ergebnisse für: Kozegar, Ehsan

1

Mass segmentation in automated breast ultrasound using an e..:

Malekmohammadi, Amin ; Soryani, Mohsen ; Kozegar, Ehsan
Expert Systems with Applications. 245 (2024) - p. 123095 , 2024

Link: https://doi.org/10.1016/..

2

Mass detection in automated 3-D breast ultrasound using a p..:

Malekmohammadi, Amin ; Barekatrezaei, Sepideh ; Kozegar, Ehsan.
Ultrasonics. 129 (2023) - p. 106891 , 2023

Link: https://doi.org/10.1016/..

3

Improved fully convolutional neuron networks on small retin..:

Kuang, Xihe ; Xu, Xiayu ; Fang, Leyuan...
Frontiers in Medicine. 10 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

4

Citrus pests classification using an ensemble of deep learn..:

Khanramaki, Morteza ; Askari Asli-Ardeh, Ezzatollah ; Kozegar, Ehsan
Computers and Electronics in Agriculture. 186 (2021) - p. 106192 , 2021

Link: https://doi.org/10.1016/..

5

Cystoscopic Image Classification by Unsupervised Feature Le..:

Hashemi, Seyyed Mohammad Reza ; Hassanpour, Hamid ; Kozegar, Ehsan.
IEEE Access. 9 (2021) - p. 126610-126622 , 2021

Link: https://doi.org/10.1109/..

6

Evaluation of image processing technique in identifying ric..:

Larijani, Mohammad Reza ; Asli‐Ardeh, Ezzatollah Askari ; Kozegar, Ehsan.
Food Science & Nutrition. 7 (2019) 12 - p. 3922-3930 , 2019

Link: https://doi.org/10.1002/..

7

Applying Product Line Engineering Concepts to Deep Neural N..:

, In: Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A,

Ghofrani, Javad ; Kozegar, Ehsan ; Fehlhaber, Anna Lena. - p. 72-77 , 2019

Link: https://dl.acm.org/doi/1..

8

Reusability in Artificial Neural Networks : An Empirical..:

, In: Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B,

Ghofrani, Javad ; Kozegar, Ehsan ; Bozorgmehr, Arezoo. - p. 122-129 , 2019

Link: https://dl.acm.org/doi/1..

9

Computer aided detection in automated 3-D breast ultrasound..:

Kozegar, Ehsan ; Soryani, Mohsen ; Behnam, Hamid..
Artificial Intelligence Review. 53 (2019) 3 - p. 1919-1941 , 2019

Link: https://doi.org/10.1007/..

10

Breast cancer detection in automated 3D breast ultrasound u..:

Kozegar, Ehsan ; Soryani, Mohsen ; Behnam, Hamid..
Ultrasonics. 79 (2017) - p. 68-80 , 2017

Link: https://doi.org/10.1016/..

11

Improved fully convolutional neuron networks on small retin..:

Kuang, Xihe ; Xu, Xiayu ; Fang, Leyuan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014569/. , 2023

Link: http://www.ncbi.nlm.nih...

12

Mass Segmentation in Automated 3-D Breast Ultrasound Using ..:

Fayyaz, Hamed ; Kozegar, Ehsan ; Tan, Tao.
http://arxiv.org/abs/2109.08330. , 2021

Link: http://arxiv.org/abs/210..

13

Repository for Reusing Artifacts of Artificial Neural Netwo..:

Ghofrani, Javad ; Kozegar, Ehsan ; Soorati, Mohammad Divband...
http://arxiv.org/abs/2003.13619. , 2020

Link: http://arxiv.org/abs/200..

14

Computer aided detection in automated 3-D breast ultrasound..:

Kozegar, Ehsan ; Soryani, Mohsen ; Behnam, Hamid..
Kozegar , E , Soryani , M , Behnam , H , Salamati , M & Tan , T 2020 , ' Computer aided detection in automated 3-D breast ultrasound images : a survey ' , Artificial Intelligence Review , vol. 53 , no. 3 , pp. 1919-1941 . https://doi.org/10.1007/s10462-019-09722-7. , 2020

Link: https://research.tue.nl/..

15

Evaluation of image processing technique in identifying ric..:

Larijani, Mohammad Reza ; Asli‐Ardeh, Ezzatollah Askari ; Kozegar, Ehsan.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924310/. , 2019

Link: http://www.ncbi.nlm.nih...