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 /: 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. (2019)

• Record Type: Book
• Other Titles: OR 2.0 2019; MLCN 2019
• Further Information: Note: Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang (eds.).n.
• Editors: Zhou, Luping; Sarikaya, Duygu; Kia, Seyed Mostafa; Speidel, Stefanie; Malpani, Anand; Hashimoto, Daniel; Habes, Mohamad; Löfstedt, Tommy; Ritter, Kerstin; Wang, Hongzhi
• Other Names: OR 2.0 (Workshop), 2nd; MLCN (Workshop), 2nd; International Conference on Medical Image Computing and Computer-Assisted Intervention, 22nd
• Contents: Intro; Additional Workshop Editors; OR 2.0 2019 Preface; OR 2.0 2019 Organization; MLCN 2019 Preface; MLCN 2019 Organization; Contents; Proceedings of the 2nd International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019); Feature Aggregation Decoder for Segmenting Laparoscopic Scenes; 1 Introduction; 2 Method; 2.1 Xception Encoder; 2.2 Feature Aggregation Decoder; 3 Experimental Results and Discussions; 4 Conclusions; References; Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories; 1 Introduction; 2 Materials and Methods 3 Experiments4 Results; 5 Discussion and Conclusion; References; Guided Unsupervised Desmoking of Laparoscopic Images Using Cycle-Desmoke; 1 Introduction; 2 Method; 2.1 Guided-Unsharp Upsample Loss; 2.2 Aggregate Loss Function; 2.3 Atrous Convolution Feature Extraction Module; 2.4 Generator and Discriminator Networks; 3 Experimentation and Results; 3.1 Dataset and Implementation Details; 3.2 Results; 4 Conclusion; References; Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration; 1 Introduction; 2 Methods; 2.1 RSD Model 2.2 Unsupervised Temporal Video Segmentation Model2.3 Combined Learning Pipelines; 2.4 Corridor-Based RSD Loss Function; 3 Evaluation; 3.1 Baselines; 3.2 Results; 4 Conclusion; References; Live Monitoring of Haemodynamic Changes with Multispectral Image Analysis; 1 Introduction; 2 Methods; 2.1 Multispectral Imaging Hardware; 2.2 End-to-End Deep Learning Pipeline for Multispectral Image Analysis; 3 Experiments and Results; 3.1 In Silico Quantitative Validation; 3.2 In Vivo Qualitative Validation; 4 Discussion; References; Towards a Cyber-Physical Systems Based Operating Room of the Future 1 Introduction2 Methods; 2.1 Intelligent Surgical Theatre Architecture; 2.2 Cyber-Twin; 2.3 Cognitive Engine and Machine Learning; 3 RadioFrequency Ablation Needle Insertion Robot; 4 Discussion and Conclusion; References; Proceedings of the 2nd 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; 1 Introduction; 2 Methods; 2.1 Data; 2.2 DeepLight; 3 Results; 3.1 Pre-training Data; 3.2 Test Data; 4 Conclusion; References Knowledge Distillation for Semi-supervised Domain Adaptation1 Introduction; 2 Related Work; 3 Methods; 3.1 Knowledge Distillation for Domain Adaptation; 4 Experiments and Results; 4.1 Databases; 4.2 Experimental Setup; 4.3 Results; 5 Discussion; References; Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors; 1 Introduction; 2 Data; 2.1 Data Pre-processing and Feature Extraction; 3 The Relevance Vector Machine for Data Harmonization; 4 Results; 4.1 Verification of Observable Correlations in Data; 4.2 Harmonization of Healthy Population Data Based on RVM
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (xvi, 114 pages), illustrations (some color)
• Subjects: 617.00285; Computer-assisted surgery -- Congresses; Surgical robots -- Congresses; Diagnostic imaging -- Digital techniques -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030326951; 3030326950
• Related ISBNs: 9783030326944
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.