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ORCIDInternational Journal of Imaging Systems and Technology, Volume 30
Volume 30, Number 1, March 2020
- Suting Peng
, Wei Chen, Jiawei Sun, Boqiang Liu:
Multi-Scale 3D U-Nets: An approach to automatic segmentation of brain tumor. 5-17 - Roobaea Alroobaea, Saeed Rubaiee, Sami Bourouis, Nizar Bouguila, Abdulmajeed Alsufyani:
Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification. 18-30 - Phil Heo, Han-Joong Kim, Sang-Doc Han, Donghyuk Kim, Geun Ho Im, Soobum Kim, Kyoung-Nam Kim:
A study on multiple array method of birdcage coils to improve the signal intensity and homogeneity in small-animal whole-body magnetic resonance imaging at 7 T. 31-44 - Nasser Edinne Benhassine, Abdelnour Boukaache, Djalil Boudjehem:
Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients. 45-56 - N. Bharanidharan, Harikumar Rajaguru:
Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms. 57-74 - Semra Içer:
Functional connectivity differences in brain networks from childhood to youth. 75-91 - Ting Wang, Xi Wu, Jiefeng Jiang, Chang Liu, Ming Zhu:
Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study. 92-103 - Belkacem Hachemi, Zouaoui Chama, Fatiha Alim-Ferhat, El-sedik Lamini, Abdelkader Abderrahmane, Macho Anani, Catherine Choquet:
Fully automatic multisegmentation approach for magnetic resonance imaging brain tumor detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm. 104-111 - Prakhar Jain, Shubham Bauskar, Manasi Gyanchandani:
Neural network based non-invasive method to detect anemia from images of eye conjunctiva. 112-125 - S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison. 126-146 - Mohamed Kasim Mariam Bee, Krishnan Vidhya:
An automated methodology for the classification of focal and nonfocal EEG signals using a hybrid classification approach. 147-153 - Munsif Ali Jatoi, Nidal S. Kamel, José D. López:
Multiple sparse priors technique with optimized patches for brain source localization. 154-167 - Thangavel Renukadevi, Saminathan Karunakaran:
Optimizing deep belief network parameters using grasshopper algorithm for liver disease classification. 168-184 - Olfa Moussa, Hajer Khachnaoui, Ramzi Guetari, Nawres Khlifa:
Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network. 185-195 - Selladurai Anbumozhi:
Computer aided detection and diagnosis methodology for brain stroke using adaptive neuro fuzzy inference system classifier. 196-202 - I. Nagarajan, G. G. Lakshmi Priya:
Removal of noise in MRI images using a block difference-based filtering approach. 203-215 - Daniel Hernandez, Jeung-Hoon Seo, Kyoung-Nam Kim:
Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging. 216-223 - Rafid Mostafiz, Mosaddik Hasan, Imran Hossain, Mohammad M. Rahman:
An intelligent system for gastrointestinal polyp detection in endoscopic video using fusion of bidimensional empirical mode decomposition and convolutional neural network features. 224-233 - K. Michael Mahesh, J. Arokia Renjit:
Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images. 234-251 - Mücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
Adrenal tumor characterization on magnetic resonance images. 252-265
Volume 30, Number 2, June 2020
- Jiao Du, Weisheng Li:
Two-scale image decomposition based image fusion using structure tensor. 271-284 - U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Jahmunah Vicnesh, Sock Keow Tan, Jeannie Hsiu Ding Wong, Raja Rizal Azman Raja Aman, Kwan Hoong Ng:
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. 285-297 - Yingran Ma, Yanjun Peng:
Lymph node detection method based on multisource transfer learning and convolutional neural network. 298-310 - Faruk Serin, Metin Erturkler:
A novel proximity graph: Circular neighborhood cell graph for histopathological tissue image analyzing. 311-326 - Anindya Gupta, Tonis Saar, Olev Märtens, Yannick Le Moullec, Ida-Maria Sintorn:
Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks. 327-339 - Shirly Sundarsingh, Ramesh Kesavan:
Diagnosis of disc bulge and disc desiccation in lumbar MRI using concatenated shape and texture features with random forest classifier. 340-347 - Kalyanakumar Jayapriya, Israel Jeena Jacob:
Hybrid fully convolutional networks-based skin lesion segmentation and melanoma detection using deep feature. 348-357 - V. Antony Asir Daniel, R. Ravi:
Noninvasive methods of classification and staging of chronic hepatic diseases. 358-366 - B. Keerthiveena, S. Esakkirajan, K. Selvakumar, T. Yogesh:
Computer-aided diagnosis of retinal diseases using multidomain feature fusion. 367-379 - Pandia Rajan Jeyaraj, Edward Rajan Samuel Nadar:
High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks. 380-390 - Vineeta Kumari, Aijaz Ahmed, Tirupathiraju Kanumuri, Chandra Shakher, Gyanendra Sheoran:
Early detection of cancerous tissues in human breast utilizing near field microwave holography. 391-400 - Wen Li, Xianwei Jiang, Weibin Sun, Shuihua Wang, Chao Liu, Xuan Zhang, Yudong Zhang, Wei Zhou, Leiying Miao:
Gingivitis identification via multichannel gray-level co-occurrence matrix and particle swarm optimization neural network. 401-411 - Raghupathy Ramasamy, Chitra Chinnasamy:
Detection and segmentation of cancer regions in cervical images using fuzzy logic and adaptive neuro fuzzy inference system classification method. 412-420 - Yingteng Zhang, Shenquan Liu, Xiaoli Yu:
Longitudinal structural MRI analysis and classification in Alzheimer's disease and mild cognitive impairment. 421-433 - HongZhen Wang, YuanShi Li, Liang Tang, JinLing Zhang, XiGang Xiao:
Evaluation of multi-slice spiral computed tomography application in the diagnosis of arterial root lesions. 434-444 - Devan Lakshmi, K. Palani Thanaraj, M. Arunmozhi:
Convolutional neural network in the detection of lung carcinoma using transfer learning approach. 445-454 - Xun-Heng Wang, Yun Jiao, Lihua Li:
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning. 455-463 - Wenxue Zhang, Jianbo Jian, Cuiyun Sun, Jie Chen, Wenjuan Lv, Mengyu Sun, Yuqing Zhao, Qi Zhao, Chunhong Hu:
High-resolution 3D imaging of microvascular architecture in human glioma tissues using X-ray phase-contrast computed tomography as a potential adjunct to histopathology. 464-472 - Elaheh Hatamimajoumerd, Alireza Talebpour, Yalda Mohsenzadeh:
Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection. 473-494 - Zijun Sha, Lin Hu, Babak Daneshvar Rouyendegh:
Deep learning and optimization algorithms for automatic breast cancer detection. 495-506
Volume 30, Number 3, September 2020
- Mohamed L. Seghier:
The COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table. 511-512
- Lili Zheng, Guoxiang Wang, Fenglei Zhang, Qingxue Zhao, Chunlai Dai, Nasser Yousefi:
Breast cancer diagnosis based on a new improved Elman neural network optimized by meta-heuristics. 513-526 - Birendra Biswal, Eadara Vyshnavi, Dwiti Krishna Bebarta, Gupteswar Sahu:
Robust segmentation of optic disc and optic cup using statistical Kurtosis test. 527-543 - Padma Ganasala, Achanta Durga Prasad:
Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain. 544-557 - Bikash Meher, Sanjay Agrawal, Rutuparna Panda, Lingraj Dora, Ajith Abraham:
A novel region-based multimodal image fusion technique using improved dictionary learning. 558-576 - Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani:
Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology. 577-591 - Kamlesh Pawar, Zhaolin Chen, Jingxin Zhang, N. Jon Shah, Gary F. Egan:
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences. 592-604 - N. Bharanidharan, Harikumar Rajaguru:
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm. 605-620 - Mahesh Gour, Sweta Jain, T. Sunil Kumar:
Residual learning based CNN for breast cancer histopathological image classification. 621-635 - A. Prabhu Chakkaravarthy, A. Chandrasekar:
Anatomical region segmentation method from dermoscopic images of pigmented skin lesions. 636-652 - Yuying Rong, Xiaojun Wu, Yumei Zhang:
Classification of motor imagery electroencephalography signals using continuous small convolutional neural network. 653-659 - L. Jerlin Rubini, Eswaran Perumal:
Efficient classification of chronic kidney disease by using multi-kernel support vector machine and fruit fly optimization algorithm. 660-673 - P. L. Chithra, G. Dheepa:
Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images. 674-686 - Monika Agarwal, Geeta Rani, Vijaypal Singh Dhaka:
Optimized contrast enhancement for tumor detection. 687-703 - Jiahui Pan, Jianhao Zhang, Siqi Luo, Jiantao Zhang, Yan Liang:
Automatic annotation of liver computed tomography images based on a vessel-skeletonization method. 704-715 - Arumugham Sukanya, Rajendran Rajeswari, Kamatchigounder Subramaniam Murugan:
Region based coronary artery segmentation using modified Frangi's vesselness measure. 716-730 - D. Divya, T. R. Ganeshbabu:
Fitness adaptive deer hunting-based region growing and recurrent neural network for melanoma skin cancer detection. 731-752 - Li-Hui Lin, Tzong-Jer Chen:
A novel scheme for image sharpness using inflection points. 753-760 - Maryjo M. George, Kalaivani S.:
A diffusion-based compensation approach for intensity inhomogeneity correction in MRI. 761-778 - Soumi Ray, Vinod Kumar:
Information count and distribution matrix: A contemporary approach for content-based brain image indexing. 779-793 - Meeta Kalra, Nizar Bouguila, Wentao Fan:
Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis. 794-814 - Pramila Arulanthu, Eswaran Perumal:
An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction. 815-827 - Hanli Zhao, Xiaqing Qiu, Wanglong Lu, Hui Huang, Xiaogang Jin:
High-quality retinal vessel segmentation using generative adversarial network with a large receptive field. 828-842
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last updated on 2020-09-17 23:38 CEST by the dblp team
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