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Medical Physics
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May 30, 2020
The delineation of largely deformed brain midline using regression-based line detection network
Hao Wei, Xiangyu Tang, Minqing Zhang, et al.
Computer Methods and Programs in Biomedicine
|
March 6, 2024
Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data
Peishan Dai, Yun Shi, Da Lu, et al.
Journal of Affective Disorders
|
July 19, 2023
Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data
Peishan Dai, Da Lu, Yun Shi, et al.
Behavioural Brain Research
|
August 22, 2022
The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
Peishan Dai, Tong Xiong, Xiaoyan Zhou, et al.
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of 3
Search research articles
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Showing results (21-30 of 24) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 24 results.
Medical Physics
|
May 30, 2020
The delineation of largely deformed brain midline using regression-based line detection network
Hao Wei, Xiangyu Tang, Minqing Zhang, et al.
Computer Methods and Programs in Biomedicine
|
March 6, 2024
Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data
Peishan Dai, Yun Shi, Da Lu, et al.
Journal of Affective Disorders
|
July 19, 2023
Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data
Peishan Dai, Da Lu, Yun Shi, et al.
Behavioural Brain Research
|
August 22, 2022
The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
Peishan Dai, Tong Xiong, Xiaoyan Zhou, et al.
Page
of 3