"Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields"

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Book	Author(s)	Year	Publisher
Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign	Jinbo Xu; Sheng Wang; Jianzhu Ma	2015	Springer International Publishing
Multiple Sclerosis	Neil Scolding; Alastair Wilkins	2012	Oxford University Press
Multiple Sclerosis	Moses Rodriguez; Orhun H. Kantarci; Istvan Pirko	2013	Oxford University Press
Multiple Sclerosis	Jürg Kesselring; W. Ian McDonald; Jane Smith	1996-12	Cambridge University Press
Multiple Sclerosis	Ian Robinson	1988	Routledge
Multiple Sclerosis	Alireza Minagar	2016	Academic Press
Multiple sclerosis	Melissa Abramovitz	2010	Lucent Books
Multiple sclerosis	Alexander Burnfield	2004	Heinemann Library
Multiple sclerosis	Marlene Targ Brill	2008	Marshall Cavendish Benchmark
Multiple sclerosis	Gary Birnbaum	2008	Oxford University Press
Multiple sclerosis	Lisa I Iezzoni; Lisa I. Iezzoni	2010	Greenwood Press
Multiple sclerosis	Thomas, Richard	2002	Vega
Multiple sclerosis /	Paty, Donald W.; Ebers, George C.	[1998], ©1998.	F.A. Davis,
Multiple sclerosis	Louis J. Rosner; Louis Rosner; Shelley Ross	1987	Prentice Hall Press
Multiple Sclerosis	Clayton Farris Naff		Greenhaven Pr
Neurodegeneration in Multiple Sclerosis	M. Filippi; M. Rovaris; G. Comi	2007	Springer Milan
Multiple sclerosis in childhood	Ephraim Joshua Field	1980	Thomas
Frontiers in multiple sclerosis.	Jürg Kesselring; Alan J. Thompson; Axel Siva; Jurg Kesselring	1999	Martin Dunitz
Multiple sclerosis: healthy menus to help in the management of multiple sclerosis	Geraldine Fitzgerald	1989	Thorsons Pub. Group;Distributed by Sterling Pub. Co.
Handbook of Multiple Sclerosis	Alexander Rae-Grant; Jeffrey A Cohen	2010	Springer Healthcare Ltd.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields	Zahra Karimaghaloo; Mohak Shah; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel	Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III	Tianzi Jiang; Nassir Navab; Josien P. W. Pluim; Max A. Viergever	2010	Springer Berlin Heidelberg
Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis	Zahra Karimaghaloo; Douglas L. Arnold; D. Louis Collins; Tal Arbel	Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II	Nicholas Ayache; Hervé Delingette; Polina Golland; Kensaku Mori	2012	Springer Berlin Heidelberg
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI	Zahra Karimaghaloo; Hassan Rivaz; Douglas L. Arnold; D. Louis Collins; Tal Arbel	Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III	Kensaku Mori; Ichiro Sakuma; Yoshinobu Sato; Christian Barillot; Nassir Navab	2013	Springer Berlin Heidelberg
Gadolinium Enhancing Lesions in Multiple Sclerosis	Mohammad Ali Sahraian; Ernst-Wilhelm Radue	MRI Atlas of MS Lesions	M.A. Sahraian; Ernst-Wilhelm Radü	2008	Springer Berlin Heidelberg
Conditional Random Fields		Computer Vision: A Reference Guide	Katsushi Ikeuchi	2014	Springer US
Conditional Random Fields		Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Conditional random fields		Bayesian Reasoning and Machine Learning	David Barber	2011	Cambridge University Press
Conditional random fields		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Conditional random fields		Linguistic structure prediction	Noah A. Smith	2011	Morgan & Claypool
Conditional random fields		Bayesian Reasoning and Machine Learning	David Barber
Conditional random fields		Natural Language Processing	Jacob Eisenstein	2018	MIT Press, and are posted here under the Creative Commons license CC-BY-NC-ND
Conditional Random Fields		Lifelong Machine Learning [2nd ed. ]	Zhiyuan Chen, Bing Liu	2018	Morgan & Claypool
Blinking-Based Live Face Detection Using Conditional Random Fields	Lin Sun; Gang Pan; Zhaohui Wu; Shihong Lao	Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007, Proceedings	Seong-Whan Lee; Stan Z. Li	2007	Springer Berlin Heidelberg
Table Extraction Using Conditional Random Fields	D. Pinto, A. McCallum, X. Wei and W. B. Croft	SIGIR 2003: proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, Canada, July 28 to August 1, 2003 /	Callan, Jamie,	2003.	Association for Computing Machinery,
Detection of Multiple Sclerosis Lesions in Mri's with Neural Networks	P. Blonda, G. Satalino and A. D'addabbo /[et al.]	Modelling biomedical signals: Bari, Italy, 19-21 September 2001 /	Nardulli, Giuseppe,; Stramaglia, Sebastiano.	[2002], ©2002.	World Scientific,
Conditional Random Fields (CRFs)		Speech and Language Processing	Daniel Jurafsky, James H. Martin	2021
Conditional Random Fields (CRFs)		Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition	Dan Jurafsky and James H. Martin	2020
Conditional random fields (CRFs)		ADVANCED NATURAL LANGUAGE PROCESSING WITH TENSORFLOW 2: Build Real-world Effective Nlp. . . Applications Using Ner, Rnns, Seq2seq Models, Tran	ASHISH. BANSAL	2021	Packt Publishing Limited
461 Conditional Random Fields		Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)	Daphne Koller, Nir Friedman	2009	The MIT Press
Simulation of Conditional Random Fields		Intelligent Structures - 2: Monitoring and control /	Wen, Y. K.,		Taylor & Francis Group
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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