Computational Methods and Clinical Applications in Musculoskeletal Imaging

Chapter 1 Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images

Chapter 2 Fully Automatic Teeth Segmentation in Adult OPG Images

Chapter 3 Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach

Chapter 4 Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images

Chapter 5 Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation

Chapter 6 Bone Adaptation as Level Set Motion

Chapter 7 Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting

Chapter 8 Perthes Disease Classification Using Shape and Appearance Modelling

Chapter 9 Deep Learning Based Rib Centerline Extraction and Labeling

Chapter 10 Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach

Chapter 11 Bone Reconstruction and Depth Control During Laser Ablation

Chapter 12 Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip