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.

Format:

Book

Contributor:

Zhou, Luping, Editor.

Sarikaya, Duygu, Editor.

Kia, Seyed Mostafa, Editor.

Speidel, Stefanie, Editor.

Malpani, Anand, Editor.

Hashimoto, Daniel, Editor.

Habes, Mohamad, Editor.

Löfstedt, Tommy, Editor.

Ritter, Kerstin, Editor.

Wang, Hongzhi, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11796

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11796

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Computer Vision.

Artificial Intelligence.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Physical Description:

1 online resource (XVI, 114 pages) : 35 illustrations, 33 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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 2019. For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment. MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. .

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-32695-1

9783030326951

Access Restriction:

Restricted for use by site license.