OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging : Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings / / edited by Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang

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Titolo:	OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging : Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings / / edited by Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
Pubblicazione:	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione:	1st ed. 2019.
Descrizione fisica:	1 online resource (XVI, 114 p. 35 illus., 33 illus. in color.)
Disciplina:	617.00785
	617.00285
Soggetto topico:	Computer vision
	Artificial intelligence
	Computer Vision
	Artificial Intelligence
Persona (resp. second.):	ZhouLuping
	SarikayaDuygu
	KiaSeyed Mostafa
	SpeidelStefanie
	MalpaniAnand
	HashimotoDaniel
	HabesMohamad
	LöfstedtTommy
	RitterKerstin
	WangHongzhi
Nota di contenuto:	Proceedings of the Second International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019) -- Feature Aggregation Decoder for Segmenting Laparoscopic Scenes -- Preoperative Planning for Guidewires employing Shape-Regularized Segmentation and Optimized Trajectories -- Guided unsupervised desmoking of laparoscopic images using Cycle-Desmoke -- Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration -- Live monitoring of hemodynamic changes with multispectral image analysis -- Towards a Cyber-Physical Systems Based Operating Room of the Future -- Proceedings of the Second International Workshop on Machine Learning in Clinical Neuroimaging: Entering the era of big data via transfer learning and data harmonization (MLCN 2019) -- Deep Transfer Learning For Whole-Brain FMRI Analyses -- Knowledge distillation for semi-supervised domain adaptation -- Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors -- Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation -- A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study -- Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites.
Sommario/riassunto:	Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Titolo autorizzato:	OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
ISBN:	3-030-32695-0
Formato:	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione:	Inglese
Record Nr.:	9910349273203321
Lo trovi qui:	Univ. Federico II
Opac:	Controlla la disponibilità qui

Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics, . 3004-9954 ; ; 11796

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