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ORCIDInternational Journal of Imaging Systems and Technology, Volume 27
Volume 27, Number 1, March 2017
- Amira Ben Rabeh, Faouzi Benzarti
, Hamid Amiri:
Segmentation of brain MRI using active contour model. 3-11 - Kui Liu, Guixia Kang:
Multiview convolutional neural networks for lung nodule classification. 12-22 - Meng Yan, Hong Liu, Xiangyang Xu, Enmin Song, Yuejing Qian, Ning Pan, Renchao Jin, Lianghai Jin, Shaorong Cheng, Chih-Cheng Hung:
An improved label fusion approach with sparse patch-based representation for MRI brain image segmentation. 23-32 - Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Anitha Vishnuvarthanan, Thiyagarajan Arun Prasath, M. Kannan:
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm. 33-45 - Sajib Saha, Rajib Rana, Yakov Nesterets, Murat Tahtali, Frank de Hoog, Timur Gureyev:
Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model. 46-56 - Lu Tang, Jiansheng Qian, Leida Li, Junfeng Hu, Xiang Wu:
Multimodal medical image fusion based on discrete Tchebichef moments and pulse coupled neural network. 57-65 - Angulakshmi Maruthamuthu, G. G. Lakshmi Priya:
Automated brain tumour segmentation techniques - A review. 66-77 - Ali Ahmadvand, Sahar Yousefi, Mohammad T. Manzuri Shalmani:
A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation. 78-88 - Ayse Demirhan:
Neuroimage-based clinical prediction using machine learning tools. 89-97 - V. Magudeeswaran, J. Fenshia Singh:
Contrast limited fuzzy adaptive histogram equalization for enhancement of brain images. 98-103
Volume 27, Number 2, June 2017
- P. Sivakumar, P. Ganeshkumar:
CANFIS based glioma brain tumor classification and retrieval system for tumor diagnosis. 109-117 - Rajkumar Soundrapandiyan, Marimuthu Karuppiah, Saru Kumari, Sanjay Kumar Tyagi, Fan Wu, Ki-Hyun Jung:
An Efficient DWT and Intuitionistic Fuzzy Based Multimodality Medical Image Fusion. 118-132 - Saruar Alam, Goo-Rak Kwon:
Alzheimer disease classification using KPCA, LDA, and multi-kernel learning SVM. 133-143 - Muhammad G. Saleh, Jamie Near, Alqadafi Alhamud, André J. W. van der Kouwe, Ernesta M. Meintjes:
Effects of tissue and gender on macromolecule suppressed gamma-aminobutyric acid. 144-152 - V. Magudeeswaran, C. G. Ravichandran, P. Thirumurugan:
Brightness preserving bi-level fuzzy histogram equalization for MRI brain image contrast enhancement. 153-161 - Jinhua Sheng:
Data modeling and method analysis for brain imaging genetics. 162-170 - P. Eben Sophia, J. Anitha:
A hybrid contextual compression technique using wavelet and contourlet transforms with PSO optimized prediction. 171-181
- Fatima Zohra Belgrana, Nacéra Benamrane:
A Fast and Robust Segmentation of Magnetic Resonance Brain Images Using a Combination of the Pyramidal Approach and Level Set Method. 182
Volume 27, Number 3, September 2017
- R. Kathirvel, Krishnan Batri:
Detection and diagnosis of meningioma brain tumor using ANFIS classifier. 187-192 - R. Kathirvel, Krishnan Batri:
A computer-aided approach for meningioma brain tumor detection using CANFIS classifier. 193-200 - Saladi Saritha, N. Amutha Prabha:
Analysis of denoising filters on MRI brain images. 201-208 - Youngdo Kim, Hyeonseok S. Jeong, Yong-Duk Kim:
Comparison of regional cerebral blood flow in Parkinson's disease with depression and major depression. 209-215 - Murugan Arunachalam, Sabeenian Royappan Savarimuthu:
An efficient and automatic glioblastoma brain tumor detection using shift-invariant shearlet transform and neural networks. 216-226 - Durga Prasad Bavirisetti, Vijayakumar Kollu, Gang Xiao, Ravindra Dhuli:
Fusion of MRI and CT images using guided image filter and image statistics. 227-237 - Soo-Young Yoon, Soonchan Park, Hyug-Gi Kim, Tae-Hee Park, Sun Mi Kim, You-Cheol Hwang, Gou Young Kim, Chang-Woo Ryu, Tai-Young Yoon, Geon-Ho Jahng:
Quantitative susceptibility mapping in a diabetes mellitus rat model: Iron accumulation in the brain. 238-247 - Chandrajit Pal, Pabitra Das, Amlan Chakrabarti, Ranjan Ghosh:
Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering. 248-264 - P. Sivakumar, P. Ganeshkumar:
An efficient automated methodology for detecting and segmenting the ischemic stroke in brain MRI images. 265-272 - N. Herald Anantha Rufus, D. Selvathi:
Performance analysis of computer aided brain tumor detection system using ANFIS classifier. 273-280 - Mohamed Baghdadi, Nacéra Benamrane, Lakhdar Sais:
Fuzzy generalized fast marching method for 3D segmentation of brain structures. 281-306
Volume 27, Number 4, December 2017
- J. Fenshia Singh, V. Magudeeswaran:
A machine learning approach for brain image enhancement and segmentation. 311-316 - Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan:
A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation. 317-332 - Sajib Saha, Yakov Nesterets, Rajib Rana, Murat Tahtali, Frank de Hoog, Timur Gureyev:
EEG source localization using a sparsity prior based on Brodmann areas. 333-344 - Donghui Tang, Shuang Tao, Jinlian Ma, Peijun Hu, Dan Long, Jun Wang, Dexing Kong:
The effect of short cardio on inhibitory control ability of obese people. 345-353 - R. Anitha, D. Siva Sundhara Raja:
Segmentation of glioma tumors using convolutional neural networks. 354-360 - Soheil Hashemi, Ali Abdolali:
Three-dimensional FDTD modeling of neurons to solve EEG and MEG forward problem. 361-367 - Shanen Chen, Xi Zhang, Zhixian Yang:
Epileptic seizure detection by combining robust-principal component analysis and least square-support vector machine. 368-375 - Younghoon Chon, Hyeonseok S. Jeong, Jooyeon J. Im, Jin Kyoung Oh, Youngdo Kim, Yong-An Chung, Dai-Jin Kim:
Alterations of regional cerebral blood flow after NMDA receptor antagonist administration in patients with alcohol-related dementia. 376-382 - Yu-Wei Lu, Jianguo Jiang, Meibin Qi, Shu Zhan, Jie Yang:
Segmentation method for medical image based on improved GrabCut. 383-390
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