Journal: Int. J. Imaging Systems and Technology

Volume 32, Issue 1

5 -- 11Mohamed L. Seghier. Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data
12 -- 25Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin, Saleh Sandoughdaran, Hamid Abdollahi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Habib Zaidi. COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
26 -- 40Emine Cengil, Ahmet Çinar. The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection
41 -- 54Sheikh Rafiul Islam, Santi P. Maity, Ajoy Kumar Ray, Mrinal Mandal 0001. Deep learning on compressed sensing measurements in pneumonia detection
55 -- 73Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala. Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images
74 -- 87Yu Fu, Peng Xue, Peng Zhao, Ning Li, Zhuodong Xu, Huizhong Ji, Zhili Zhang, Wentao Cui, Enqing Dong. 3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules
88 -- 101Shubham Dodia, Annappa Basava, Mahesh Padukudru Anand. A novel receptive field-regularized V-net and nodule classification network for lung nodule detection
102 -- 110Nasrin Amini, Ahmad Shalbaf. Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images
111 -- 122Prabhakar Agarwal, Sandeep Kumar. Electroencephalography based imagined alphabets classification using spatial and time-domain features
123 -- 143Kwabena Adu, Yongbin Yu, Jingye Cai, Isaac Asare, Jennifer Quahin. The influence of the activation function in a capsule network for brain tumor type classification
144 -- 154Bo Fu, Yuhan Dong, Shilin Fu, Yuanxin Mao, Dang N. H. Thanh. Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement
155 -- 162Muhammed Yildirim, Ahmet Çinar. Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET
163 -- 177Junghyun Song, Dongchan Kim, Yeji Han, Jun-Young Chung. Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data
178 -- 191Yaru Wang, Shihong Yue, Jun Chen, Qi Li 0030. Conductivity characteristics of human lung tissues
192 -- 208Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra. Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach
209 -- 217Hui Huang 0009, Xi'an Feng, Jionghui Jiang, Peiyu Chen, Suying Zhou. Mask RCNN algorithm for nuclei detection on breast cancer histopathological images
218 -- 229Belal Ahmad, Mohd Usama, Tanvir Ahmad, Shabnam Khatoon, Chaudhary Maqbool Alam. An ensemble model of convolution and recurrent neural network for skin disease classification
230 -- 250Deepa Natarajan, Esakkirajan Sankaralingam, Keerthiveena Balraj, Selvakumar Karuppusamy. A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning
251 -- 265Ridhma, Manvjeet Kaur, Sanjeev Sofat, Devendra K. Chouhan, Mahesh Prakash. Automated measurement of sulcus angle on axial knee magnetic resonance images
266 -- 279Ying Zou 0015, Jianxin Zhang, Shan Huang, Bin Liu. Breast cancer histopathological image classification using attention high-order deep network
280 -- 294Pallavi Asthana, Madasu Hanmandlu, Sharda Vashisth. Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier
295 -- 306Yanyan Shi, Zhiwei Tian, Meng Wang, Zuguang Rao, Feng Fu. Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography
307 -- 323Sadia Anjum, Lal Hussain, Mushtaq Ali, Monagi H. Alkinani, Wajid Aziz, Sabrina Gheller, Adeel Ahmed Abbasi, Ali Raza Marchal, Harshini Suresh, Tim Q. Duong. Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
324 -- 342Arbab Sufyan, Muhammad Imran 0013, Syed Attique Shah, Hamayoun Shahwani, Arbab Abdul Wadood. A novel multimodality anatomical image fusion method based on contrast and structure extraction
343 -- 353Yigit Ali Üncü, Gençay Sevim, Murat Canpolat. Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three-dimensional image processing algorithms for diffuse optical imaging
354 -- 368Gunjan Rajput, Shashank Agrawal, Gopal Raut, Santosh Kumar Vishvakarma. An accurate and noninvasive skin cancer screening based on imaging technique
369 -- 386Xiaoming Liu 0004, Shaocheng Wang, Jun Cao, Ying Zhang 0056, Man Wang. Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images
387 -- 401Lamiaa Abdel-Hamid. TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep learning techniques
402 -- 413Ashokkumar S. R, Anupallavi S, MohanBabu G, M. Premkumar 0004, V. Jeevanantham. Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals