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| 435 | -- | 443 | Mehmet Kalayci, Hakan Ayyildiz, Seda Arslan Tuncer, Pinar Gundogan Bozdag, Gulden Eser Karlidag. Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach |
| 444 | -- | 461 | Summrina Kanwal, Faiza Khan, Sultan Alamri, Kia Dashtipur, Mandar Gogate. COVID-opt-aiNet: A clinical decision support system for COVID-19 detection |
| 462 | -- | 475 | Arun Kumar, Rajendra Prasad Mahapatra. Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques |
| 476 | -- | 489 | Said Yacine Boulahia, Mohamed Akrem Benatia, Abderrahmane Bouzar. Att2ResNet: A deep attention-based approach for melanoma skin cancer classification |
| 490 | -- | 500 | Zhirong Yang, Wenchuan Zhang. Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing |
| 501 | -- | 516 | U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya. Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study |
| 517 | -- | 527 | Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar. mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images |
| 528 | -- | 543 | Ying Fang, He Huang, Weiji Yang, Xiaomei Xu, WeiWei Jiang, Xiaobo Lai. Nonlocal convolutional block attention module VNet for gliomas automatic segmentation |
| 544 | -- | 563 | G. Stalin Babu, S. N. Tirumala Rao, R. Rajeswara Rao. Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model |
| 564 | -- | 574 | Jayesh George Melekoodappattu, Anto Sahaya Dhas, Binil Kumar K., K. S. Adarsh. Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features |
| 575 | -- | 589 | Mina Mirjalili, Reza Zomorrodi, Zafiris J. Daskalakis, Sean Hill, Tarek K. Rajji. Individualized real-time prediction of working memory performance by classifying electroencephalography signals |
| 590 | -- | 599 | Ashraf Abuelhaija, Gameel Saleh, Osama Nashwan, Samer Issa, Sanaa Salama. Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging |
| 600 | -- | 613 | Bindu Madhavi Tummala, Soubhagya Sankar Barpanda. Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network |
| 614 | -- | 628 | Sally M. Elghamrawy, Aboul Ella Hassanien, Athanasios V. Vasilakos. Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning |
| 629 | -- | 641 | Lingraj Dora, Sanjay Agrawal 0002, Rutuparna Panda, Ajith Abraham. An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects |
| 642 | -- | 657 | Cherifa Nabila Chaoui, Abdelghani Ghomari, Boudjelal Meftah. Edge and anomaly detection of brain magnetic resonance images in a distributed environment |
| 658 | -- | 672 | Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Henda Ben Ghézala. Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images |
| 673 | -- | 686 | Tomás Pohl, Marek Jakab, Wanda Benesova. Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease |
| 687 | -- | 696 | Sasikanth Shanmugam, Srinivasa Rao Surampudi. A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process |