BACK TO INDEX

Publications of Neda Changizi
Articles in journal, book chapters
  1. Shawn Andrews, Neda Changizi, and Ghassan Hamarneh. The Isometric Log-Ratio Transform for Probabilistic Multi-Label Anatomical Shape Representation. IEEE Transactions on Medical Imaging (IEEE TMI), 33(9):1890-1899, 2014. Keyword(s): Shape Modelling and Analysis, Segmentation, Uncertainty. [bibtex-key = tmi2014b]


  2. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based 3D shape analysis of thigh muscles: Patients with chronic obstructive pulmonary disease versus healthy adults. Academic Radiology, 18(2):155-166, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = ar2011]


Conference articles
  1. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. 3D shape analysis of thigh muscles: people with Chronic Obstructive Pulmonary Disease versus healthy older adults. In Canadian Physiotherapy Association Congress, pages 1, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = cpa2011]


  2. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based Three dimensional shape analysis of thigh muscles: people with Chronic Obstructive Pulmonary Disease versus healthy older adults. In Heart+Lung Health Fest, pages 1, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = hlf2011]


  3. Neda Changizi and Ghassan Hamarneh. Probabilistic Multi-Shape Representation using an Isometric Log-Ratio Mapping. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 6363, pages 563-570, 2010. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = miccai2010a]


  4. Neda Changizi and Ghassan Hamarneh. Probabilistic multi-label representation for anatomical statistical shape analysis. In SFU Exchange, 2010. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = sfu_exchange2010b]


  5. Neda Changizi, Ghassan Hamarneh, Omer Ishaq, Aaron Ward, and Roger Tam. Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum using Template-Driven Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 6363, pages 17-24, 2010. Keyword(s): Registration and Matching, Segmentation, Shape Modelling and Analysis. [bibtex-key = miccai2010c]


  6. Ghassan Hamarneh and Neda Changizi. Barycentric Label Space. In Medical Image Computing and Computer-Assisted Intervention Workshop on Probabilistic Models for Medical Image Analysis (MICCAI PMMIA), pages 162-173, 2009. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = miccai_pmmia2009]


Internal reports
  1. Neda Changizi and Ghassan Hamarneh. Probabilistic Multi-Shape Representation using an Isometric Log-Ratio Mapping. Technical report TR 2010-05, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, April 2010. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = sfu_cs2010_05]


  2. Ghassan Hamarneh and Neda Changizi. Barycentric Label Space. Technical report TR 2009-13, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, April 2009. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = sfu_cs2009_13]



BACK TO INDEX




Disclaimer:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.




Last modified: Mon Oct 9 10:53:50 2017
Author: hamarneh.


This document was translated from BibTEX by bibtex2html