Ausgabe 7/2023
Inhalt (20 Artikel)
A fast sample entropy for pulse rate variability analysis
Lijuan Chou, Shengrong Gong, Haiping Yang, Jicheng Liu, Yongxin Chou
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Sezer Ulukaya, Ahmet Alp Sarıca, Oğuzhan Erdem, Ali Karaali
AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study
Jinming Wang, Qigang Long, Yan Liang, Jie Song, Yadong Feng, Peng Li, Wei Sun, Lingxiao Zhao
Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques
Burçin Kurt, Beril Gürlek, Seda Keskin, Sinem Özdemir, Özlem Karadeniz, İlknur Buçan Kırkbir, Tuğba Kurt, Serbülent Ünsal, Cavit Kart, Neslihan Baki, Kemal Turhan
Automatic vertebral fracture and three-column injury diagnosis with fracture visualization by a multi-scale attention-guided network
Shunan Zhang, Ziqi Zhao, Lu Qiu, Duan Liang, Kun Wang, Jun Xu, Jun Zhao, Jianqi Sun
Continuous estimation of multi-DOF movement from sEMG based on non-negative matrix factorization and L2 regulation
Ming Meng, Guangqian Zhou, Yuliang Ma, Xugang Xi
An automated segmentation of coronary artery calcification using deep learning in specific region limitation
Asmae Mama Zair, Assia Bouzouad Cherfa, Yazid Cherfa, Noureddine Belkhamsa
Pharmacokinetic/pharmacodynamic model of a methionine starvation based anti-cancer drug
N. Eymard, N. Bessonov, V. Volpert, P. Kurbatova, F. Gueyffier, P. Nony
Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography
Sriraam N, Punyaprabha V, Sushma TV, Suresh S
Segmentation of retinal vessels in fundus images based on U-Net with self-calibrated convolutions and spatial attention modules
YiBiao Rong, Yu Xiong, Chong Li, Ying Chen, Peiwei Wei, Chuliang Wei, Zhun Fan
Inpainting truncated areas of CT images based on generative adversarial networks with gated convolution for radiotherapy
Kai Xie, Liugang Gao, Heng Zhang, Sai Zhang, Qianyi Xi, Fan Zhang, Jiawei Sun, Tao Lin, Jianfeng Sui, Xinye Ni
Study on the methods of feature extraction based on electromyographic signal classification
Xiaoyan Zhang, Mengru Zhang
The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations
Tomasz Bugajski, Jessica Küpper, Nikolas Bufe, Mohammad Radpour, Andres Kecskemethy, Janet Ronsky
Enhancing retinal images in low-light conditions using semidecoupled decomposition
Nitit WangNo, Supailin Pichai
An optimal internal model proportional integral controller to improve pressure tracking profile of artificial ventilator
Debasis Acharya, Dushmanta Kumar Das
Automatic brain tumor detection using CNN transfer learning approach
Vinayak K. Bairagi, Pratima Purushottam Gumaste, Seema H. Rajput, Chethan K. S.
Examining impact forces during posterior spinal fusion to implement in a novel physics-driven virtual reality surgical simulator
Sneha Patel, Jean Ouellet, Mark Driscoll
Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN
Nan Qi, Yan Piao, Peng Yu, Baolin Tan
Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
Meikun Ma, Xiaoyan Hao, Jumin Zhao, Shijie Luo, Yi Liu, Dengao Li
Biomechanical analysis of Instrumented decompression and Interbody fusion procedures in Lumbar spine: a finite element analysis study
Shivam Saini, Nagaraj Manju Moger, Manish Kumar, Subrato Sarkar, Samarth Mittal, Syed Ifthekar, Kaustubh Ahuja, Indra Vir Singh, Pankaj Kandwal