Multimodal learning for clinical decision support and clinical image-based procedures : 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings /: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. (2020)
- Record Type:
- Book
- Title:
- Multimodal learning for clinical decision support and clinical image-based procedures : 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings /: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. (2020)
- Main Title:
- Multimodal learning for clinical decision support and clinical image-based procedures : 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
- Other Titles:
- ML-CDS 2020
CLIP 2020 - Further Information:
- Note: Tanveer Syeda-Mahmood, Klaus Drechsler et al. (eds.).
- Other Names:
- Syeda-Mahmood, Tanveer
Drechsler, Klaus
Greenspan, Hayit
Madabhushi, Anant
Karargyris, Alexandros
Linguraru, Marius George
Oyarzun Laura, Cristina
(Biomedical engineer), Shekhar, Raj
Wesarg, Stefan
González Ballester, Miguel Ángel
ML-CDS (Workshop), 10th
CLIP (Workshop), 9th
International Conference on Medical Image Computing and Computer-Assisted Intervention, 23rd - Contents:
- Intro -- Additional Workshop Editors -- Preface ML-CDS 2020 -- Organization -- Preface CLIP 2020 -- Organization -- Contents -- CLIP 2020 -- Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records -- 1 Introduction -- 2 Method -- 2.1 Data of T2DM Studies -- 2.2 Abdominal Segmentations -- 2.3 EMR Feature Extraction -- 3 Experiments -- 3.1 Experimental Design 3.2 Implementation Details and Metric -- 3.3 Results and Analyses -- 4 Discussion and Conclusion -- References -- A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography -- 1 Introduction -- 2 Materials and Methods -- 2.1 Scanning Protocols -- 2.2 Ground Truth Labels -- 2.3 Mapping of ASPECTS Regions -- 2.4 Pre-processing -- 2.5 Image Features -- 2.6 Classification of Collaterals -- 3 Results -- 4 Discussion -- References Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 MER Acquisition and Preprocessing -- 2.3 MRI Data Processing -- 2.4 Active Contours Fitting -- 2.5 MER-based Fitting -- 2.6 Evaluation Procedure -- 3 Results and Discussions -- 3.1 STN Segmentation -- 3.2 MER-based Fitting -- 4 Conclusion -- References -- 3D SlicerIntro -- Additional Workshop Editors -- Preface ML-CDS 2020 -- Organization -- Preface CLIP 2020 -- Organization -- Contents -- CLIP 2020 -- Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records -- 1 Introduction -- 2 Method -- 2.1 Data of T2DM Studies -- 2.2 Abdominal Segmentations -- 2.3 EMR Feature Extraction -- 3 Experiments -- 3.1 Experimental Design 3.2 Implementation Details and Metric -- 3.3 Results and Analyses -- 4 Discussion and Conclusion -- References -- A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography -- 1 Introduction -- 2 Materials and Methods -- 2.1 Scanning Protocols -- 2.2 Ground Truth Labels -- 2.3 Mapping of ASPECTS Regions -- 2.4 Pre-processing -- 2.5 Image Features -- 2.6 Classification of Collaterals -- 3 Results -- 4 Discussion -- References Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 MER Acquisition and Preprocessing -- 2.3 MRI Data Processing -- 2.4 Active Contours Fitting -- 2.5 MER-based Fitting -- 2.6 Evaluation Procedure -- 3 Results and Discussions -- 3.1 STN Segmentation -- 3.2 MER-based Fitting -- 4 Conclusion -- References -- 3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research -- 1 Introduction -- 2 Methods 3 Results and User Studies Applications -- 4 Conclusion -- References -- Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision -- 1 Introduction -- 2 Prior Work -- 3 Method -- 3.1 Dataset -- 3.2 Variational Autoencoder -- 3.3 Training -- 3.4 Model Evaluation -- 4 Results -- 5 Conclusion and Future Work -- References -- Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Preprocessing -- 2.2 Android Application -- 2.3 Server Backend -- 3 Results 3.1 Quantitative Evaluation -- 3.2 Qualitative Evaluation -- 4 Discussion -- 5 Conclusion -- References -- A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge -- 1 Introduction -- 2 Dataset -- 3 Method -- 4 Experiments and Results -- 5 Conclusion and Future Improvement -- References -- Adversarial Prediction of Radiotherapy Treatment Machine Parameters -- 1 Introduction -- 2 Methods -- 2.1 Patient Data Preparation and Treatment Planning -- 2.2 Data Reformatting for Supervised Learning -- 2.3 Deep Learning Network and Training -- 3 Results … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (147 p.)
- Subjects:
- 616.07/57
Diagnostic imaging -- Data processing -- Congresses
Computer-assisted surgery -- Congresses
Application software
Artificial intelligence
Bioinformatics
Database management
Optical data processing
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9783030609467
3030609464 - Related ISBNs:
- 9783030609450
3030609456 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed December 2, 2020).
- 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.562142
- Ingest File:
- 03_190.xml