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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

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Cover of 'Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures'

Table of Contents

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    Book Overview
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    Chapter 1 Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws
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    Chapter 2 Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records
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    Chapter 3 A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography
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    Chapter 4 Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement
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    Chapter 5 3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research
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    Chapter 6 Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision
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    Chapter 7 Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality
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    Chapter 8 A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge
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    Chapter 9 Adversarial Prediction of Radiotherapy Treatment Machine Parameters
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    Chapter 10 Soft Tissue Sarcoma Co-segmentation in Combined MRI and PET/CT Data
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    Chapter 11 Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays
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    Chapter 12 LUCAS: LUng CAncer Screening with Multimodal Biomarkers
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    Chapter 13 Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Attention for Chapter 4: Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement
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