| 0 | -- | 0 | Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter 0001, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe. Cover Image |
| 1071 | -- | 1086 | Xiaoqing Zhang, Guangyu Wang, Shu-Guang Zhao. COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image segmentation |
| 1087 | -- | 1104 | Yongwon Cho, Sung Ho Hwang, Yu-Whan Oh, Byung-Joo Ham, Min-Ju Kim, Beom-Jin Park. Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets |
| 1105 | -- | 1119 | Shikhar Johri, Mehendi Goyal, Sahil Jain, Manoj Baranwal, Vinay Kumar, Rahul Upadhyay. A novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images |
| 1120 | -- | 1127 | Lu Tang 0001, Chuangeng Tian, Yankai Meng, Kai Xu. Longitudinal evaluation for COVID-19 chest CT disease progression based on Tchebichef moments |
| 1128 | -- | 1135 | Amar Prasad Gupta, Seung Jun Yeo, Mallory Mativenga, Jaeik Jung, WooSeob Kim, Jongmin Lim, Junyoung Park, Jeung Sun Ahn, Seung-Hoon Kim, Moon Shik Chae, Yeong Heum Yeon, Namkug Kim, Beom-Seok Ko, Jehwang Ryu. A feasibility study of a portable intraoperative specimen imaging X-ray system based on carbon nanotube field emitters |
| 1136 | -- | 1154 | Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter 0001, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe. Rapid head-pose detection for automated slice prescription of fetal-brain MRI |
| 1155 | -- | 1173 | Tehmina Khalil, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, Nouman Ali. A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage |
| 1174 | -- | 1184 | Akila Gurunathan, Batri Krishnan. Detection and diagnosis of brain tumors using deep learning convolutional neural networks |
| 1185 | -- | 1196 | Selvapandian Arumugam, Sivakumar Paulraj, Nagendra Prabhu Selvaraj. Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique |
| 1197 | -- | 1210 | Zhuqing Jiao, Tingxuan Jiao, Jiahao Zhang, Haifeng Shi, Bona Wu, Yudong Zhang 0001. Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification |
| 1211 | -- | 1220 | Alessandra Patera, Antonio G. Zippo, Anne Bonnin, Marco Stampanoni, Gabriele E. M. Biella. Brain micro-vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography |
| 1221 | -- | 1245 | N. Bharanidharan, Harikumar Rajaguru. Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper-parameters |
| 1246 | -- | 1264 | Yuping Huang, Weisheng Li 0001, Jiao Du. Anatomical-functional image fusion based on deep convolution neural networks in local Laplacian pyramid domain |
| 1265 | -- | 1279 | Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski. Mining frequent approximate patterns in large networks |
| 1280 | -- | 1293 | Banphatree Khomkham, Rajalida Lipikorn. Pulmonary lesion classification from endobronchial ultrasonography images using adaptive weighted-sum of the upper and lower triangular gray-level co-occurrence matrix |
| 1294 | -- | 1299 | Abel Zhou, Qi Tan, Graeme L. White, Rob Davidson. New antiscatter grid design by optimization of strip thickness and height |
| 1300 | -- | 1316 | Hsien-Jen Lo, Chih-Hung Wu. Local binary pattern encoding schemes for computed tomography image segmentation: An experimental and comparative study |
| 1317 | -- | 1333 | K. Melbin, Y. Jacob Vetha Raj. Automated detection and classification of skin diseases using diverse features and improved gray wolf-based multiple-layer perceptron neural network |
| 1334 | -- | 1356 | Mina Hosseinpour, Hamid Behnam, Maryam Shojaeifard. Compressive sensing theory and neighborhood spatial-temporal information for frame rate improvement of dynamic ultrasonic imaging |
| 1357 | -- | 1365 | Yu Yang, Jinsong Wang, Yadi Xue. Iris boundary localization based on Hough transform and the quadratic circle data compensation |
| 1366 | -- | 1385 | K. Raghesh Krishnan, Sudhakar Radhakrishnan, Mohaideen Abdul Kadhar Kappuva. Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features |
| 1386 | -- | 1403 | P. Sinthia, M. Malathi. Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm |
| 1404 | -- | 1423 | Lokanath Reddy Chilakala, Gattim Naveen Kishore. Optimal deep belief network with opposition-based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach |
| 1424 | -- | 1436 | Gomathi Mathiyalagan, Dhanasekaran Devaraj. A machine learning classification approach based glioma brain tumor detection |
| 1437 | -- | 1454 | Ali Ould Kradda, Abdelghani Ghomari, Abdennacer Ben Hmed, Stéphane Binczak. Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine learning |
| 1455 | -- | 1467 | Vallikutti Sathananthavathi, Indumathi Ganesan, Rita Mahiya, S. Priyadarshini. Improvement of thin retinal vessel extraction using mean matting method |
| 1468 | -- | 1485 | Rajole Bhausaheb N., Vitthal J. Gond. Hybrid classification with meta-heuristic-enabled optimal feature selection for thyroid detection |
| 1486 | -- | 1502 | Swarup Kr Ghosh, Anupam Ghosh. A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization |
| 1503 | -- | 1518 | Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor. Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm |
| 1519 | -- | 1535 | Asra Rafi, Tahir Mustafa Madni, Uzair Iqbal Janjua, Muhammad Junaid Ali, Muhammad Naeem Abid. Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall survival prediction |
| 1536 | -- | 1550 | Geetha Pavani Pappu, Birendra Biswal, Tapan K. Gandhi, Metta Venkata Satya Sairam. Classification of neovascularization on retinal images using extreme learning machine |
| 1551 | -- | 1563 | Jayesh George Melekoodappattu, Anoop Balakrishnan Kadan, V. Anoop. Early detection of breast malignancy using wavelet features and optimized classifier |
| 1564 | -- | 1582 | Saleh Alaraimi, Kenneth Eloghene Okedu, Hugo Tianfield, Richard Holden, Omair Uthmani. Transfer learning networks with skip connections for classification of brain tumors |
| 1583 | -- | 1594 | Chuhan Hu, Xiaoyan Sun, Zhenming Yuan, Yingfei Wu. Classification of breast cancer histopathological image with deep residual learning |
| 1595 | -- | 1608 | K. Nirmalakumari, Harikumar Rajaguru. Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification |
| 1609 | -- | 1624 | Fatemeh Bagheri, Mohammad Jafar Tarokh, Majid Ziaratban. Skin lesion segmentation based on mask RCNN, Multi Atrous Full-CNN, and a geodesic method |
| 1625 | -- | 1637 | V. Deepa, C. Sathish Kumar, Sheena Susan Andrews. Fusing dual-tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier |
| 1638 | -- | 1654 | Rahma Boukadida, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui. Mobile-aided screening system for proliferative diabetic retinopathy |
| 1655 | -- | 1669 | S. Deepak, P. M. Ameer. Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space |
| 1670 | -- | 1677 | Mohammadreza Hedyehzadeh, Keivan Maghooli, Mohammad MomenGharibvand. Glioma grade detection using grasshopper optimization algorithm-optimized machine learning methods: The Cancer Imaging Archive study |
| 1678 | -- | 1691 | Asma Boudrioua, Abdelouahab Aloui, Basel Solaiman, Larbi Asli, Douraied Ben Salem, Souhil Tliba. Automatic three-dimensional detection and volume estimation of low-grade gliomas |
| 1692 | -- | 1710 | Shaik Basheera, M. Satya Sai Ram. Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI |
| 1711 | -- | 1730 | Mehravar Rafati, Fateme Farnia, Elham Romoozi, Ali Mohammad Nickfarjam, Farahnaz Hosseini. Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion-support vector machine |
| 1731 | -- | 1740 | Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Krishna Sai Doppalapudi, Karthik Satya Raghuram Bylapudi. Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network |
| 1741 | -- | 1751 | Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien. An improved framework for polyp image segmentation based on SegNet architecture |
| 1752 | -- | 1768 | Richa Rashmi, Snekhalatha Umapathy, Krishnan Palani Thanaraj. Thermal imaging method to evaluate childhood obesity based on machine learning techniques |