Medical Image and Signal Analysis in Brain Research | Buch | 978-0-443-23844-4 | sack.de

Buch, Englisch, Format (B × H): 152 mm x 229 mm

Medical Image and Signal Analysis in Brain Research


Erscheinungsjahr 2024
ISBN: 978-0-443-23844-4
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

ISBN: 978-0-443-23844-4
Verlag: Elsevier Science & Technology

Progress in Brain Research, Volume 290 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Image Analysis for Spinocerebellar Ataxia Type 3, Brain structural network modular and connectivity alterations in subtype of patients with migraine, Brain Functional Networks and Structures that Categorize Type 2 Bipolar Disorder and Major Depression, Reinforcement Learning Classification in fNIRS Signal of Olfactory Stimulated, The method of brain-computer interface using the forehead instead of the visual area to receive SSVEP signals and signal processing, and more.

Additional chapters cover The relationship between flash-induced SSVEP in DELTA frequency band and sleep, Enhancing Facial Feature De-Identification in Multi-Frame Brain Images: A Generative Adversarial Network Approach, Comparative Analysis of MRI Markers in Heat and Mechanical Pain Sensitivity, and Analysis of the Difference Between Alzheimer’s Disease, Mild Cognitive Impairment and Normal People by Using Fractal Dimensions and Small-World Network.
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Autoren/Hrsg.

Fachgebiete

Weitere Infos & Material

1. Image Analysis for Spinocerebellar Ataxia Type 3
Chi-Wen Jao, Hsiu-Mei Wu, Po-Shan Wang and Yu-Te Wu
2. Brain structural network modular and connectivity alterations in subtype of patients with migraine
Chi-Wen Jao, Jiann-Horng Yeh, Yu-Te Wu, Yuh-Feng Tsai, Kuang-En Chu, Chen-Yu Hsiao, Clay Hinrichs and Chi Ieong Lau
3. Brain Functional Networks and Structures that Categorize Type 2 Bipolar Disorder and Major Depression
Yen-Ling Chen, Jia-En Jhou, Ya-Mei Bai, Mu-Hong Chen, Pei-Chi Tu and Yu-Te Wu
4. Reinforcement Learning Classification in fNIRS Signal of Olfactory Stimulated
Cheng-Hsuan Chen, Kuo-Kai Shyu, Po-Lei Lee and Chi-Wen Jao
5. The method of brain-computer interface using the forehead instead of the visual area to receive SSVEP signals and signal processing
Chih-Tsung Chang
6. The relationship between flash-induced SSVEP in DELTA frequency band and sleep
Chih-Tsung Chang
7. Enhancing Facial Feature De-Identification in Multi-Frame Brain Images: A Generative Adversarial Network Approach
Chung-Yueh Lien and Deng Rui-Jun
8. Comparative Analysis of MRI Markers in Heat and Mechanical Pain Sensitivity
Yung-Lin Chen, Li-Ling Hope Pan, David M. Niddam, Shuu-Jiun Wang and Yu-Te Wu
9. Analysis of the Difference Between Alzheimer's Disease, Mild Cognitive Impairment and Normal People by Using Fractal Dimensions and Small-World Network
Wei-Kai Lee, Clay Hinrichs, Yen-Ling Chen, Po-Shan Wang, Wan-Yuo Guo and Yu-Te Wu

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