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22. Deep Learning for Depression Recognition with Audiovisual Cues: A Review

Author

He, Lang, Niu, Mingyue, Tiwari, Prayag, Marttinen, Pekka, Su, Rui, Jiang, Jiewei, Guo, Chenguang, Wang, Hongyu, Ding, Songtao, Wang, Zhongmin, Dang, Wei, and Pan, Xiaoying

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

With the acceleration of the pace of work and life, people have to face more and more pressure, which increases the possibility of suffering from depression. However, many patients may fail to get a timely diagnosis due to the serious imbalance in the doctor-patient ratio in the world. Promisingly, physiological and psychological studies have indicated some differences in speech and facial expression between patients with depression and healthy individuals. Consequently, to improve current medical care, many scholars have used deep learning to extract a representation of depression cues in audio and video for automatic depression detection. To sort out and summarize these works, this review introduces the databases and describes objective markers for automatic depression estimation (ADE). Furthermore, we review the deep learning methods for automatic depression detection to extract the representation of depression from audio and video. Finally, this paper discusses challenges and promising directions related to automatic diagnosing of depression using deep learning technologies.

Published
2021

33. Nasopharyngeal Organ Segmentation Algorithm Based on Dilated Convolution Feature Pyramid

Author

Pan, Xiaoying, Dai, Dong, Wang, Hongyu, Liu, Xingxing, Bai, Weidong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yao, Jian, editor, Xiao, Yang, editor, You, Peng, editor, and Sun, Guang, editor

Published
2022
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39. Seismic Performance of Highly Eccentric Reinforced Concrete Beam–Column Joints.

Author

Zheng, Bo-Tong, Gencturk, Bora, Aryan, Hadi, Pan, Xiaoying, Lopez, Joshua, Rivera, Jorge, Del Carpio, Maikol, and Alkhrdaji, Tarek

Subjects
CONCRETE joints, FIBER-reinforced plastics, EARTHQUAKE resistant design, CONCRETE columns, REINFORCED concrete, ECCENTRIC loads
Abstract

Beam–column joints are critical in reinforced concrete moment-resisting frames. Adequately designed beam–column joints support the plastic hinging of the adjoining beams under seismic actions and transfer gravity loads, both of which are critical for the energy dissipation and survival of buildings during earthquakes. Beam–column joints in exterior frames of buildings are occasionally eccentric such that the axes of the beam and column are offset from one another. Previous work on eccentric joints indicates an inferior seismic behavior compared to concentric joints. Beams flush with the concrete column represent the maximum eccentricity considered in previous studies. However, beam–column joints with higher eccentricity where the beam section only partially intersects with the column exist in some buildings. The impact of this notably high beam eccentricity on the seismic performance of joints has not been documented in studies published in open literature to the knowledge of the authors. This paper presents an experimental study focused on a joint geometry characterized by a beam eccentricity exceeding half the column width. The objective is to lay the groundwork for understanding how such eccentricity affects the seismic performance of reinforced concrete beam–column joints. The experiments involved reversed cyclic testing of four large-scale beam–column cruciform assemblages. The results indicate that the joints had sufficient core capacity to develop plastic hinges in the beams. In addition, the tested assemblies exhibited highly ductile behavior and considerable postpeak energy dissipation. The inadequacies of the design documents on such joints are discussed in detail. Based on the findings, a suggestion was made to evaluate the shear strength of such joints. Finally, a strengthening scheme using fiber-reinforced polymer patching was evaluated to improve the seismic performance with minimal work on the joint. The strengthened joint showed similar behavior with a higher energy dissipation compared to the unstrengthened joints. [ABSTRACT FROM AUTHOR]

Published
2024
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45. High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations

Author

Wang, Hongyu, Feng, Jun, Pan, Xiaoying, Yang, Di, Chen, Baoying, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Burgos, Ninon, editor, Svoboda, David, editor, Wolterink, Jelmer M., editor, and Zhao, Can, editor

Published
2020
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