| 3341 | -- | 3356 | Sadia Batool, Hafezeh Nabipour, Seeram Ramakrishna, Masoud Mozafari. Nanotechnology and quantum science enabled advances in neurological medical applications: diagnostics and treatments |
| 3357 | -- | 3375 | Ashkan Rafiei, Maysam Saidi. Aneurysm geometric features effect on the hemodynamic characteristics of blood flow in coronary artery: CFD simulation on CT angiography-based model |
| 3377 | -- | 3395 | Xue Chen, Yanjun Peng, Yanfei Guo, Jindong Sun, Dapeng Li, Jianming Cui. MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation |
| 3397 | -- | 3417 | Maninder Singh, Basant Kumar, Deepak Agrawal. Good view frames from ultrasonography (USG) video containing ONS diameter using state-of-the-art deep learning architectures |
| 3419 | -- | 3433 | Jiaqi Zhao, Xiang Chen 0004, Xu Zhang 0002, Xun Chen 0001. A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals |
| 3435 | -- | 3445 | Nicholas F. Bean, Lisa Lombardo, Ronald J. Triolo, Musa L. Audu. Facilitation of dependent transfers with functional neuromuscular stimulation: a computer simulation study |
| 3447 | -- | 3460 | Chennan Wu, Yang Liu, Xiang Guo, Tianshui Zhu, Zongliang Bao. Enhancing the feasibility of cognitive load recognition in remote learning using physiological measures and an adaptive feature recalibration convolutional neural network |
| 3461 | -- | 3474 | Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma. Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients |
| 3475 | -- | 3496 | Adel Thaljaoui, Salim el Khediri, Emna Benmohamed, Abdulatif Alabdulatif, Abdullah Alourani. Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients |
| 3497 | -- | 0 | Adel Thaljaoui, Salim el Khediri, Emna Benmohamed, Abdulatif Alabdulatif, Abdullah Alourani. Correction to: Integrated Bayesian and association‑rules methods for autonomously orienting COVID‑19 patients |
| 3499 | -- | 3508 | Larissa Aparecida Vaz Oliveira, Maira Beatriz Hernandez Moran, Marcelo Daniel Brito Faria, Luciana Freitas Bastos, Gilson A. Giraldi, Luiz Antonio Ribeiro da Rosa, José Firmino Nogueira Neto, Aura Conci. Dental arch definition in computed tomographs using two semi-automatic methods |
| 3509 | -- | 3523 | Feiyun Xiao. EWT-IIT: a surface electromyography denoising method |
| 3525 | -- | 3538 | Yung-Chuan Chen, Yuan-Kun Tu, Yi-Jung Tsai, Yueh-Pin Tsai, Chih-Kun Hsiao. Local thermal effect of power-on setting on monopolar coagulation: a three-dimensional electrothermal coupled finite element study |
| 3539 | -- | 3554 | Irene García-López, Renard Xaviero Adhi Pramono, Esther Rodríguez-Villegas. Artifacts classification and apnea events detection in neck photoplethysmography signals |
| 3555 | -- | 3566 | Quankai Liu, Guangyuan Zhang, Kefeng Li, Fengyu Zhou, Dexin Yu. SFOD-Trans: semi-supervised fine-grained object detection framework with transformer module |
| 3567 | -- | 3583 | Ruchi Juyal, Muthusamy Hariharan, Niraj Kumar. SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals |
| 3585 | -- | 3600 | Sameh Sherif, Yehya H. Ghallab, Yehea Ismail. Theoretical analysis for the fluctuation in the electric parameters of the electroporated cells before and during the electrofusion |
| 3601 | -- | 3614 | Fuat Akal, Ezgi D. Batu, Hafize Emine Sonmez, Serife G. Karadag, Ferhat Demir, Nuray Aktay Ayaz, Betül Sözeri. Diagnosing growing pains in children by using machine learning: a cross-sectional multicenter study |
| 3615 | -- | 3634 | Jing Wang, Long Yu, Shengwei Tian. MsRAN: a multi-scale residual attention network for multi-model image fusion |
| 3635 | -- | 3654 | Huma Naz, Rahul Nijhawan, Neelu Jyothi Ahuja. An automated unsupervised deep learning-based approach for diabetic retinopathy detection |
| 3655 | -- | 3664 | Jiannan Kang, Xiaoli Li 0002, Manuel F. Casanova, Estate M. Sokhadze, Xinling Geng. Impact of repetitive transcranial magnetic stimulation on the directed connectivity of autism EEG signals: a pilot study |