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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhou, Luping (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sarikaya, Duygu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kia, Seyed Mostafa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Speidel, Stefanie (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Malpani, Anand (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hashimoto, Daniel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Habes, Mohamad (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Löfstedt, Tommy (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ritter, Kerstin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Hongzhi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11796
• Θέματα: Optical data processing.; Artificial intelligence.; Image Processing and Computer Vision.; Artificial Intelligence.

This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 201...

Πίνακας περιεχομένων:

• 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.