Journal: Int. J. Imaging Systems and Technology

Volume 33, Issue 6

1829 -- 1857Om Ramakisan Varma, Mala Kalra, Sheeraz Kirmani. COVID-19: A systematic review of prediction and classification techniques
1858 -- 1869Lotfi Mhamdi, Oussama Dammak, François Cottin, Imed Ben Dhaou. Deep learning for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4
1870 -- 1881Yuan Yang, Lin Zhang, Lei Ren 0001, Xiaohan Wang. Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification
1882 -- 1901Aya Nader Salama, M. A. Mohamed, Hanan M. Amer, Mohamed Maher Ata. An efficient quantification of COVID-19 in chest CT images with improved semantic segmentation using U-Net deep structure
1902 -- 1913Yoshio Watanabe, Akira Taniguchi, Hidekazu Tomimoto. Maximum isotope accumulation in the retrosplenial cortex during amnesia attack and its temporal change suggest cortical spreading depression as a pathophysiology of patients with transient global amnesia
1914 -- 1928Xue Xia, Kun Zhan, Yuming Fang, Wenhui Jiang, Fei Shen. Lesion-aware network for diabetic retinopathy diagnosis
1929 -- 1943Ömer Faruk Söylemez. Forward selection-based ensemble of deep neural networks for melanoma classification in dermoscopy images
1944 -- 1956Xinying Wang, Jian Yi, Yang Li. Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi-LSTM network
1957 -- 1972G. Renith, A. Senthilselvi. An efficient skin cancer detection and classification using Improved Adaboost Aphid-Ant Mutualism model
1973 -- 1987Zhi Wang, Feng Gao, Long Yu 0001, Shengwei Tian. UACENet: Uncertain area attention and cross-image context extraction network for polyp segmentation
1988 -- 2011N. Alizadeh, Sajjad Afrakhteh, Mohammad Reza Mosavi. Deep CNN-based classification of motor imagery tasks from EEG signals using 2D wavelet transformed images of adaptively reconstructed signals from MVMD decomposed modes
2012 -- 2022Xiaochen Wang, Yanhui Ding, Yuanjie Zheng. Multiscale attention network for retinal vein occlusion classification with multicolor image
2023 -- 2043Zhenrun Zhan, Pengyong Han, Xu Tang, Jinpeng Yang, Xiaodan Bi, Tingting Zhao. Applying machine learning to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally
2044 -- 2060Ciyamala Kushbu Sadhanandan, Inbamalar Tharcis Mariapushpam, Sudha Suresh. An efficient deep learning algorithm for the segmentation of cardiac ventricles
2061 -- 2072Kamakshi Rautela, Dinesh Kumar, Vijay Kumar. Active contour and texture features hybrid model for breast cancer detection from ultrasonic images
2073 -- 2087Qiang Li, Hengxin Liu, Weizhi Nie, Ting Wu. Brain tumor image segmentation based on prior knowledge via transformer
2088 -- 2099Yuanyuan Peng, Jiaxing Zhang. Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework
2100 -- 2117Priyanka Grover, Hari Shankar Singh, Sanjaya Kumar Sahu. Design and analysis of a super compact UWB antenna for accurate detection of breast tumors using monostatic radar-based microwave imaging technique
2118 -- 2127Qiong Liu, Yue Li, Zi-Xin Zhai, Hai-Yan Jia, Li-Ping Liu. 2-Net
2128 -- 2141A. Pandian, Udhayakumar Ganesan. Improved multiple sclerosis diagnosis with advanced deep learning techniques
2142 -- 2156Rajeshwari Rengarajan, M. S. Geetha Devasena, G. Gopu. Enhanced grasshopper optimization-based selection of ultrasound and elastography features for breast lesion classification
2157 -- 2177Narayanan Krishnasamy, Thangaraj Ponnusamy. Deep learning-based robust hybrid approaches for brain tumor classification in magnetic resonance images
2178 -- 2193Hamed Zamanian, Ahmad Shalbaf. Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks
2194 -- 2202Shaobo Wang, Zaoqin Chen, Yangyang Liu, Yubing Liu, Zhiyu Qian, Lin Meng. Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states
2203 -- 2217Malvika Ashok, Abhishek Gupta 0005, Mohit Pandey. HCIU: Hybrid clustered inception-based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images