Journal: Int. J. Imaging Systems and Technology

Volume 32, Issue 4

1035 -- 1048Hyunsu Jeong, Hyunwook Kim, Jiwon Yoon, Kyungsup Go, Jeonghwan Gwak. OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images
1049 -- 1067Durga Prasad Mannepalli, Varsha Namdeo. An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional long short-term memory framework
1068 -- 1083Sevim Cengiz, Muhammed Yildirim, Abdullah Bas, Esin Ozturk-Isik. ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis
1084 -- 1100Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey. Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound
1101 -- 1118Gunjan Rajput, Shashank Agrawal, Kunika Naresh Biyani, Santosh Kumar Vishvakarma. Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened mammograms
1119 -- 1132Yusong Shen, Chaoen Hu, Peng Zhang, Jie Tian 0001, Hui Hui. A novel software framework for magnetic particle imaging reconstruction
1133 -- 1142Donghyuk Kim, Taewoo Nam, Daniel Hernández 0012, Kyoung-Nam Kim. Design of rectangular coaxial slot antenna for ultra-high-field magnetic resonance imaging
1143 -- 1158Ranpreet Kaur, Hamid Gholam Hosseini, Roopak Sinha. Skin lesion segmentation using an improved framework of encoder-decoder based convolutional neural network
1159 -- 1171Ferdi Ozbilgin, Çetin Kurnaz. An alternative approach for determining the cholesterol level: Iris analysis
1172 -- 1191Venkatesh Gauri Shankar, Dilip Singh Sisodia, Preeti Chandrakar. A novel discriminant feature selection-based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction
1192 -- 1208Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan. Deep learning-based automated mitosis detection in histopathology images for breast cancer grading
1209 -- 1220Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das. CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation
1221 -- 1230Fan Zhang, Junhua Zhu, Pengyi Hao, Fuli Wu, Yuanna Zheng. BDU-net: Toward accurate segmentation of dental image using border guidance and feature map distortion
1231 -- 1250Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu. A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection
1251 -- 1262Kaniska Samanta, Soumya Chatterjee 0001, Rohit Bose. Neuromuscular disease detection based on feature extraction from time-frequency images of EMG signals employing robust hyperbolic Stockwell transform
1263 -- 1285Sreedhar Kollem, Katta Rama Linga Reddy, Duggirala Srinivasa Rao, Chintha Rajendra Prasad, V. Malathy, J. Ajayan, Deboraj Muchahary. Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function
1286 -- 1293Hanyuan Miao, Xiaohong Zhou, Wei Wang, Weiliang Jiang, Tao Jin. Improved sparse representation algorithm for optical coherence tomography images
1294 -- 1306Xiongfei Jiao, Juan Li, Zhilei Zhao, Benjamin Badami. An all-inclusive computer-aided melanoma diagnosis based on soft computing
1307 -- 1317M. Roy Reena, P. M. Ameer. Identification of white blood cells for the diagnosis of acute myeloid leukemia
1318 -- 1337Komal Jindal, Rahul Upadhyay, Hari Shankar Singh. A novel EEG channel selection and classification methodology for multi-class motor imagery-based BCI system design
1338 -- 1356Tanvi Dovedi, Rahul Upadhyay, Vinay Kumar. Hybrid time-reassigned multisynchrosqueezing transform-Picard-based automated electroencephalography artifact correction methodology for brain-computer interface applications
1357 -- 1372Vedant Shukla, Prasad Khandekar, Arti Khaparde. Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging
1373 -- 1396Palanigurupackiam Nagaraj, Perumalsamy Deepalakshmi. An intelligent fuzzy inference rule-based expert recommendation system for predictive diabetes diagnosis
1397 -- 1413Manoj Kumar Naik, Rutuparna Panda, Leena Samantaray, Ajith Abraham. A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm
1414 -- 1428Egambaram Thirumagal, Saruladha Krishnamurthy. Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models

Volume 32, Issue 3

701 -- 703Mohamed L. Seghier. Demystifying desk rejection: A call to action for our authors
704 -- 716Thiyagarajan Padmapriya, Kalaiselvi Thiruvenkadam, Venugopal Priyadharshini. Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans
717 -- 727Orkun Eroglu, Muhammed Yildirim. Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models
728 -- 739Fan Liu, Dongxiao Li, Xinyu Jin, Wenyuan Qiu. Accelerated brain tumor dynamic contrast-enhanced MRI using Adaptive Pharmaco-Kinetic Model Constrained method
740 -- 752Neven Saleh, Manal Abdel Wahed, Ahmed M. Salaheldin. Transfer learning-based platform for detecting multi-classification retinal disorders using optical coherence tomography images
753 -- 766Rahul Paul. Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas
767 -- 777Limei Su, Shenjiao Huang, Zhengyin Wang, Zhiqin Zhang, Huajiang Wei, Tongsheng Chen. Whole slide cervical image classification based on convolutional neural network and random forest
778 -- 797Vidya K. Sudarshan, Reshma A. Ramachandra, Nicole Si Min Tan, Smit Ojha, Ru San Tan. VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays
798 -- 814Yaroub Elloumi. Cataract grading method based on deep convolutional neural networks and stacking ensemble learning
815 -- 830Anisha Arulappan, Ajith Bosco Raj Thankaraj. Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images
831 -- 842Mengkun Wu, Hao Sun 0005, Zhenhui Sun, Xin Guo, Lunhui Duan, Yinglun Tan, Rui Cui. A machine learning-based method for automatic diagnosis of ankle fracture using X-ray images
843 -- 856Muruganantham Manickam, Rathinavelayutham Siva, Saravanan Prabakeran, Kannan Geetha, Varadharajan Indumathi, Thirumaaran Sethukarasi. Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach
857 -- 868Shaoguo Cui, Mingjun Wei, Chang Liu, Jingfeng Jiang. GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation
869 -- 881Krishnamoorthy Sashi Rekha, Suthanthira Amalraj Miruna Joe Amali. Efficient feature subset selection and classification using levy flight-based cuckoo search optimization with parallel support vector machine for the breast cancer data
882 -- 901Saurabh Shrikant Athalye, Gaurav Vijay. Taylor series-based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images
902 -- 917Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan. Deep learning based automated detection of intraretinal cystoid fluid
918 -- 934Antony Dennis Ananth, Chenniappan Palanisamy. Extended and optimized deep convolutional neural network-based lung tumor identification in big data
935 -- 955mamta juneja, Saasha Joshi, Naveen Singla, Shaurya Ahuja, Sumindar Kaur Saini, Niharika Thakur, Prashant Jindal. Denoising of computed tomography using bilateral median based autoencoder network
956 -- 968Xiaofang Zhang, Bin Zhang, Xiaomin Liu, Jie Dong, Shujun Zhao, Suxiao Li. Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine learning algorithms
969 -- 981Shanshan Liu, Ruo Hu, Jianfang Wu, Xizheng Zhang, Jun He, Huimin Zhao, Huajia Wang, Xiangjun Li. Research on data classification and feature fusion method of cancer nuclei image based on deep learning
982 -- 999Kiran Fiaz, Tahir Mustafa Madni, Fozia Anwar, Uzair Iqbal Janjua, Asra Rafi, Mian Muhammad Naeem Abid, Nasira Sultana. Brain tumor segmentation and multiview multiscale-based radiomic model for patient's overall survival prediction
1000 -- 1014Nalini Bodasingi, Balaji Narayanam, Bhaskara Rao Jammu 0001. Automatic diagnosis of pneumonia using backward elimination method based SVM and its hardware implementation
1015 -- 1029Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana. Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network

Volume 32, Issue 2

419 -- 434Shamik Tiwari, Anurag Jain. A lightweight capsule network architecture for detection of COVID-19 from lung CT scans
435 -- 443Mehmet 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 -- 461Summrina Kanwal, Faiza Khan, Sultan Alamri, Kia Dashtipur, Mandar Gogate. COVID-opt-aiNet: A clinical decision support system for COVID-19 detection
462 -- 475Arun Kumar, Rajendra Prasad Mahapatra. Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques
476 -- 489Said Yacine Boulahia, Mohamed Akrem Benatia, Abderrahmane Bouzar. Att2ResNet: A deep attention-based approach for melanoma skin cancer classification
490 -- 500Zhirong Yang, Wenchuan Zhang. Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing
501 -- 516U. 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 -- 527Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar. mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images
528 -- 543Ying Fang, He Huang, Weiji Yang, Xiaomei Xu, WeiWei Jiang, Xiaobo Lai. Nonlocal convolutional block attention module VNet for gliomas automatic segmentation
544 -- 563G. 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 -- 574Jayesh 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 -- 589Mina Mirjalili, Reza Zomorrodi, Zafiris J. Daskalakis, Sean Hill, Tarek K. Rajji. Individualized real-time prediction of working memory performance by classifying electroencephalography signals
590 -- 599Ashraf 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 -- 613Bindu Madhavi Tummala, Soubhagya Sankar Barpanda. Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
614 -- 628Sally 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 -- 641Lingraj Dora, Sanjay Agrawal 0002, Rutuparna Panda, Ajith Abraham. An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects
642 -- 657Cherifa Nabila Chaoui, Abdelghani Ghomari, Boudjelal Meftah. Edge and anomaly detection of brain magnetic resonance images in a distributed environment
658 -- 672Safa 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 -- 686Tomás Pohl, Marek Jakab, Wanda Benesova. Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease
687 -- 696Sasikanth 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

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