"Unsupervised 3D Brain Anomaly Detection" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Pathological Brain Detection	Shui-Hua Wang; Yu-Dong Zhang; Zhengchao Dong; Preetha Phillips	1st ed. 2018	Springer Nature Singapore
Mathematical Modeling in Biomedical Imaging I: Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging	Habib Ammari	2010	Springer Berlin Heidelberg
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection	Mehdi Roopaei; Paul Rad	2018	Routledge
A program to compute magnetic anomaly detection probabilities	R. N. Forrest	1990	Naval Postgraduate School;Available from National Technical Information Service
A program to compute electric anomaly detection probabilities	R. N. Forrest	1988	Naval Postgraduate School;Available from National Technical Information Service
New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
empirical comparison of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Collision Detection in Interactive 3D Environments	Gino van den Bergen	2003	Routledge
Change Detection and Image Time-Series Analysis Volume 1 - Unsupervised Methods	Abdourramahn Atto; Francesca Bovolo; Lorenzo Bruzzone	2021	John Wiley & Sons
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Anomaly Detection and Complex Event Processing over IoT Data Streams	Fatos Xhafa and Patrick Schneider	2022	Academic Press
Network traffic anomaly detection and prevention: concepts, techniques, and tools	Bhattacharyya, Dhruba K.; Bhuyan, Monowar H.; Kalita, Jugal Kumar	2017	Springer
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Unsupervised 3D Brain Anomaly Detection	Jaime Simarro Viana; Ezequiel de la Rosa; Thijs Vande Vyvere; David Robben; Diana M. Sima; CENTER-TBI Participants and Investigators	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I	Alessandro Crimi; Spyridon Bakas	1st ed. 2021	Springer International Publishing
Unsupervised Anomaly Detection		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Improved Unsupervised Anomaly Detection Algorithm	Na Luo; Fuyu Yuan; Wanli Zuo; Fengling He; Zhiguo Zhou	Rough Sets and Knowledge Technology: Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings	Guoyin Wang; Tianrui Li; Jerzy W. Grzymala-Busse; Duoqian Miao; Yiyu Y. Yao	2008	Springer Berlin Heidelberg
Unsupervised Anomaly Detection in the Wild	David Zimmerer; Daniel Paech; Carsten Lüth; Jens Petersen; Gregor Köhler; Klaus Maier-Hein	Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022	Klaus Maier-Hein; Thomas M. Deserno; Heinz Handels; Andreas Maier; Christoph Palm; Thomas Tolxdorff	1. Aufl. 2022	Springer Fachmedien Wiesbaden
Utilizing unsupervised methods of anomaly detection		Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization	Stefanie Molin	2021	Packt Publishing
Using unsupervised ML for anomaly detection		Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Ensemble Algorithms for Unsupervised Anomaly Detection	Zhiruo Zhao; Kishan G. Mehrotra; Chilukuri K. Mohan	Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings	Moonis Ali; Young Sig Kwon; Chang-Hwan Lee; Juntae Kim; Yongdai Kim	2015	Springer International Publishing
Unsupervised Anomaly Detection in Production Lines	Alexander Graß; Christian Beecks; Jose Angel Carvajal Soto	Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018	Jürgen Beyerer; Christian Kühnert; Oliver Niggemann	1st ed. 2019	Springer Berlin Heidelberg
Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection	Samuel Botter Martins; Alexandre Xavier Falcão; Alexandru Cristian Telea	Biomedical Engineering Systems and Technologies: 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers	Xuesong Ye; Filipe Soares; Elisabetta De Maria; Pedro Gómez Vilda; Federico Cabitza; Ana Fred; Hugo Gamboa	1st ed. 2021	Springer International Publishing
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI	Christoph Baur; Robert Graf; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II	Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz	1st ed. 2020	Springer International Publishing
Unsupervised Anomaly Detection Using HDG-Clustering Algorithm	Cheng-Fa Tsai; Chia-Chen Yen	Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II	Masumi Ishikawa; Kenji Doya; Hiroyuki Miyamoto; Takeshi Yamakawa	2008	Springer Berlin Heidelberg
A Geometric Framework for Unsupervised Anomaly Detection	Eleazar Eskin; Andrew Arnold; Michael Prerau; Leonid Portnoy; Sal Stolfo	Applications of Data Mining in Computer Security	Daniel Barbará; Sushil Jajodia	2002	Springer US
Unsupervised Clustering Approach for Network Anomaly Detection	Iwan Syarif; Adam Prugel-Bennett; Gary Wills	Networked Digital Technologies: 4th International Conference, NDT 2012, Dubai, UAE, April 24-26, 2012. Proceedings, Part I	Rachid Benlamri	2012	Springer Berlin Heidelberg
Anomaly Detection Using Unsupervised Machine Learning Algorithms	Pavitra Kadiyala; K. V. Shanmukhasai; Sai Shashank Budem; Praveen Kumar Reddy Maddikunta	Deep Learning for Security and Privacy Preservation in IoT	Aaisha Makkar; Neeraj Kumar	1st ed. 2021	Springer Nature Singapore
Incorporating Privileged Information to Unsupervised Anomaly Detection	Shubhranshu Shekhar; Leman Akoglu	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I	Michele Berlingerio; Francesco Bonchi; Thomas Gärtner; Neil Hurley; Georgiana Ifrim	1st ed. 2019	Springer International Publishing
A Global Anomaly Threshold to Unsupervised Detection		SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention	Abdulmohsen Almalawi; Zahir Tari; Adil Fahad; Xun Yi	2021	Wiley Data and Cybersecurity
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection	Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser	Information Security Practice and Experience: 14th International Conference, ISPEC 2018, Tokyo, Japan, September 25-27, 2018, Proceedings	Chunhua Su; Hiroaki Kikuchi	1st ed. 2018	Springer International Publishing
Unsupervised Anomaly-Based Malware Detection Using Hardware Features	Adrian Tang; Simha Sethumadhavan; Salvatore J. Stolfo	Research in Attacks, Intrusions and Defenses: 17th International Symposium, RAID 2014, Gothenburg, Sweden, September 17-19, 2014, Proceedings	Angelos Stavrou; Herbert Bos; Georgios Portokalidis	2014	Springer International Publishing
Enhancing Latent Features for Unsupervised Video Anomaly Detection	Linmao Zhou; Hong Chang; Nan Kang; Xiangjun Zhao; Bingpeng Ma	Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II	Huimin Ma; Liang Wang; Changshui Zhang; Fei Wu; Tieniu Tan; Yaonan Wang; Jianhuang Lai; Yao Zhao	1st ed. 2021	Springer International Publishing
Unsupervised Video Anomaly Detection Based on Sparse Reconstruction	ZhenJiang Li; Wenbo Yang; Guangli Wu; Liping Liu	Big Data Analytics for Cyber-Physical System in Smart City: BDCPS 2020, 28-29 December 2020, Shanghai, China	Mohammed Atiquzzaman; Neil Yen; Zheng Xu	1st ed. 2021	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries