71. A deep dense residual network with reduced parameters for volumetric brain tissue segmentation from MR images. (September 2021) Authors: Basnet, Ramesh; Ahmad, M. Omair; Swamy, M.N.S. Journal: Biomedical signal processing and control Issue: Volume 70(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
72. A deep framework for enhancement of diagnostic information in CSMRI reconstruction. (January 2022) Authors: Datta, Sumit; Dandapat, Samarendra; Deka, Bhabesh Journal: Biomedical signal processing and control Issue: Volume 71(2022)Part A Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
73. A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissection. (September 2020) Authors: Cheng, Junlong; Tian, Shengwei; Yu, Long; Ma, Xiang; Xing, Yan Journal: Biomedical signal processing and control Issue: Volume 62(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
74. A Deep Learning approach for automated Cytoplasm and Nuclei cervical segmentation. (March 2023) Authors: Del Moral-Argumedo, Marco J.; Ochoa-Zezzati, Carlos A.; Posada-Gómez, Rubén; Aguilar-Lasserre, Alberto A. Journal: Biomedical signal processing and control Issue: Volume 81(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
75. A deep learning approach for remote heart rate estimation. (April 2022) Authors: Przybyło, Jaromir Journal: Biomedical signal processing and control Issue: Volume 74(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
76. A deep learning approach for the quantification of lower tear meniscus height. (July 2021) Authors: Deng, Xianyu; Tian, Lei; Liu, Ziyu; Zhou, Yongjin; Jie, Ying Journal: Biomedical signal processing and control Issue: Volume 68(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
77. A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction. (January 2023) Authors: Li, Ya; Luo, Jing-hao; Dai, Qing-yun; Eshraghian, Jason K.; Ling, Bingo Wing-Kuen; Zheng, Ci-yan; Wang, Xiao-li Journal: Biomedical signal processing and control Issue: Volume 79(2023)Part 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
78. A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography. (February 2021) Authors: Bai, Xiaoyu; Hu, Yan; Gong, Guanzhong; Yin, Yong; Xia, Yong Journal: Biomedical signal processing and control Issue: Volume 64(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
79. A deep learning based 2-dimensional hip pressure signals analysis method for sitting posture recognition. (March 2022) Authors: Fan, Zhe; Hu, Xing; Chen, Wen-Ming; Zhang, Da-Wei; Ma, Xin Journal: Biomedical signal processing and control Issue: Volume 73(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
80. A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI. (February 2022) Authors: Wu, Yunan; Wu, Jing; Dou, Yuting; Rubert, Nicholas; Wang, Yi; Deng, Jie Journal: Biomedical signal processing and control Issue: Volume 72(2022)Part B Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗