• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 21 matches

• 2021
• 
  Katia Maria Poloni, Italo Antonio Duarte de Oliveira, Roger Tam, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative:
  Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing 419: 126-135 (2021)
• 
  Donggeon Oh, Bo Hyoung Kim, Jeongjin Lee, Yeong-Gil Shin:
  Unsupervised Deep Learning Network with Self-Attention Mechanism for Non-Rigid Registration of 3D Brain MR Images. J. Medical Imaging Health Informatics 11(3): 736-751 (2021)
• 2020
• 
  Shaswati Roy, Pradipta Maji:
  Rough segmentation of coherent local intensity for bias induced 3-D MR brain images. Pattern Recognit. 97 (2020)
• 
  Akankshya Das, Sanjay Agrawal, Leena Samantaray, Rutuparna Panda, Ajith Abraham:
  State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis. Rev. d'Intelligence Artif. 34(3): 243-256 (2020)
• 2017
• 
  Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen:
  Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229: 3-12 (2017)
• 2016
• 
  Dasineni Sai Parameshwari, P. Aparna:
  An efficient framework for segmentation and identification of tumours in brain MR images. Int. J. Adv. Media Commun. 6(2/3/4): 211-234 (2016)
• 
  D. Jude Hemanth, J. Anitha, Valentina Emilia Balas:
  Fast and accurate fuzzy C-means algorithm for MR brain image segmentation. Int. J. Imaging Syst. Technol. 26(3): 188-195 (2016)
• 
  Wen-Qian Deng, Xuemei Li, Xifeng Gao, Caiming Zhang:
  A Modified Fuzzy C-Means Algorithm for Brain MR Image Segmentation and Bias Field Correction. J. Comput. Sci. Technol. 31(3): 501-511 (2016)
• 2014
• 
  Carole Frindel, Marc C. Robini, David Rousseau:
  A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain. Medical Image Anal. 18(1): 144-160 (2014)
• 2012
• 
  Zexuan Ji, Yong Xia, Quan-Sen Sun, Qiang Chen, De-Shen Xia, David Dagan Feng:
  Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation. IEEE Trans. Inf. Technol. Biomed. 16(3): 339-347 (2012)
• 2011
• 
  Guangjian Tian, Yong Xia, Yanning Zhang, David Dagan Feng:
  Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation. IEEE Trans. Inf. Technol. Biomed. 15(3): 373-380 (2011)
• 2009
• 
  Zhong Xue, Dinggang Shen:
  A new statistically-constrained deformable registration framework for MR brain images. Int. J. Medical Eng. Informatics 1(3): 357-367 (2009)
• 2006
• 
  Meritxell Bach Cuadra, Mathieu De Craene, Valerie Duay, Benoît Macq, Claudio Pollo, Jean-Philippe Thiran:
  Dense deformation field estimation for atlas-based segmentation of pathological MR brain images. Comput. Methods Programs Biomed. 84(2-3): 66-75 (2006)
• 
  Henry Selvaraj, S. Thamarai Selvi, D. Selvathi, R. Ramkumar:
  Support Vector Machine Based Automatic Classification of Human Brain Using MR Image Features. Int. J. Comput. Intell. Appl. 6(3): 357-370 (2006)
• 
  Zhong Xue, Dinggang Shen, Bilge Karaçali, Joshua Stern, David A. Rottenberg, Christos Davatzikos:
  Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. NeuroImage 33(3): 855-866 (2006)
• 2005
• 
  Corina S. Drapaca, Valerie Cardenas, Colin Studholme:
  Segmentation of tissue boundary evolution from brain MR image sequences using multi-phase level sets. Comput. Vis. Image Underst. 100(3): 312-329 (2005)
• 
  Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, Hervé Delingette, Simon K. Warfield, Grégoire Malandain, Nicholas Ayache:
  Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation. IEEE Trans. Medical Imaging 24(10): 1334-1346 (2005)
• 2004
• 
  Zhong Xue, Dinggang Shen, Christos Davatzikos:
  Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels. IEEE Trans. Medical Imaging 23(10): 1276-1291 (2004)
• 2002
• 
  Juha Koikkalainen, Jyrki Lötjönen:
  Model Library for Deformable Model-Based Segmentation of 3-D Brain MR-Images. MICCAI (1) 2002: 540-547
• 1997
• 
  Kevin P. Hinshaw, James F. Brinkley:
  Using 3-D shape models to guide segmentation of MR brain images. AMIA 1997
• 1993
• 
  Peter Santago, H. Donald Gage:
  Quantification of MR brain images by mixture density and partial volume modeling. IEEE Trans. Medical Imaging 12(3): 566-574 (1993)