Computer vision and machine learning methods for the analysis of brain and cardiac imagery

Keywords

Artificial intelligence, Computer science, Psychology, Computer vision

References

• Feature selection and nearest centroid classification for protein mass spectrometryБарсукова Светлана Юрьевна — 2005
• Level set based cerebral vasculature segmentation and diameter quantification in CT angiographyMariana Henriques, Margarida Isabel Barros Coelho Martins, Melyssa Negri — 2006
• Novel Methods for Multidimensional Image SegmentationÉric Pichon, Allen Tannenbaum — 2005
• Proteomics in diagnostic pathology: profiling and imaging proteins directly in tissue sections.Pierre Chaurand, Melinda E. Sanders, Roy A. Jensen — 2004
• Finsler Tractography for White Matter Connectivity Analysis of the Cingulum BundleJohn Melonakos, Vandana Mohan, Marc Niethammer — 2007
• Information Processing in Medical Imaging, 19th International Conference, IPMI 2005, Glenwood Springs, CO, USA, July 10-15, 2005, ProceedingsGary E. Christensen, Milan Sonka — 2005
• Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract ExtractionSuyash P. Awate, Hui Zhang, James C. Gee — 2007
• Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher SamplingFan Zhang, Casey Goodlett, Edwin R. Hancock — 2007
• Global Minimum for Active Contour Models: A Minimal Path ApproachLaurent D. Cohen, Ron Kimmel — 1996
• Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of CoronariesCharles Florin, Nikos Paragios, Jim Williams — 2005
• Fiber Tracking in q-Ball Fields Using Regularized Particle TrajectoriesM. Perrin, Cyril Poupon, Yann Cointepas — 2005
• Fiber Pathways of the BrainJeremy D. Schmahmann, Deepak Ν. Pandya — 2006
• Accurate Curvilinear Modeling for Precise Measurements of Tubular StructuresRongxin Li, Sébastien Ourselin — 2003
• Genetic study of the myelin oligodendrocyte glycoprotein (MOG) gene in schizophreniaGwyneth Zai, Nicole King, K. Wigg — 2004
• Findings in Schizophrenia by Tract-Oriented DT-MRI AnalysisMahnaz Maddah, Marek Kubicki, William M. Wells — 2008
• A Riemannian Approach to Diffusion Tensor Images SegmentationChristophe Lenglet, Mikaël Rousson, Rachid Deriche — 2005
• A cooperative framework for segmentation using 2D active contours and 3D hybrid models as applied to branching cylindrical structuresTom O'Donnell, M.-P. Dubuisson-Jolly, Alok Gupta — 1998
• A k-means clustering algorithmJ. A. Hartigan, M. Anthony Wong — 1979
• Protocols for disease classification from mass spectrometry dataMichael Wagner, Dayanand N. Naik, Alex Pothen — 2003
• Imaging of Meningioma Progression by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass SpectrometryNathalie Y.R. Agar, James G. Malcolm, Vandana Mohan — 2010

Cited by

• Proof of concept: Calibration of an overhead line conductors’ movements simulation model using Ensemble-based machine learning modelHamdi Amroun, Mehdi Ammi, Fikri Hafid — 2021

Related papers

• MACHINE LEARNING APPROACHES FOR AUTOMATED STROKE DETECTION, SEGMENTATION, AND CLASSIFICATION IN MICROWAVE BRAIN IMAGING SYSTEMSMajid Roohi, Jalil Mazloum, Mohammad Ali Pourmina — 2021
• Automatic analysis of brain pathology based on image contentHong Shao, Wencheng Cui, Hong Zhao — 2004
• Brain tumor segmentation: A performance analysis using K-Means, Fuzzy C-Means and Region growing algorithmHeena Hooda, Om Prakash Verma, Tripti Singhal — 2014
• A Study of Brain Tumor Detection by using Segmentation TechniquesMandip Kaur, Prabhpreet Kaur — 2018
• Brain Tumor Detection through MR Images: A Review of Segmentation TechniquesMadhvi Arya, Reecha Sharma — 2016