Clinical Image-Based Procedures. 11th Workshop, CLIP 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18, 2022 Proceedings

Description

Preface Organization Contents Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging 1 Introduction 2 Methods 2.1 DRR Generation 2.2 Siddon's Method and Its GPU Extensions 2.3 Vectorizing Siddon's Method 2.4 Differentiating DRRs with Respect to Imaging Parameters 3 Experiments 3.1 Performance Analysis 3.2 DRR-Based Gradient Descent for Slice-to-Volume Registration 4 Discussion References Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis 1 Introduction 2 Methodology 2.1 Multi-channel Residual Network Module 2.2 Squeeze-Excitation Attention Unit 2.3 Classification Block 3 Experimental Results 3.1 Datasets and Preprocessing 3.2 Experiment Setup 3.3 Results 4 Conclusion References Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging 1 Introduction and Motivation 2 Background 2.1 Related Work 2.2 Participants 2.3 Data 3 Method 3.1 Before FI 3.2 After FI 4 Results 5 Discussion and Future Work References Automatic Landmark Identification on IntraOralScans 1 Introduction 2 Related Work 3 Method 3.1 Data 3.2 Pre-processing 3.3 Rendering 2D Views 3.4 Training 3.5 Prediction 4 Results 5 Discussion 6 Conclusion References STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation 1 Introduction 2 Methods 2.1 STAU-Net 2.2 Structure Attention Fusion Block 3 Experiments and Results 3.1 Dataset 3.2 Implementation Details 3.3 Evaluation Metrics 3.4 Result 4 Conclusion References Convolutional Redistribution Network for Multi-view Medical Image Diagnosis 1 Introduction 2 Related Work 3 Method 3.1 The Workflow of Convolutional Redistribute Network 3.2 Convolutional Redistribute Network 3.3 Loss Function 4 Experiment 4.1 Experiment on Pancreatic Tumor Classification 4.2 Experiment on Standard Datasets 5 Conclusion References Feature Patch Based Attention Model for Dental Caries Classification 1 Introduction 2 Related Work 3 Methodology 3.1 Feature Patch Extraction 3.2 Feature Patch Attention 3.3 Loss Function 4 Experiments and Analysis 4.1 Dataset and Settings 4.2 Experimental Results 5 Conclusion References Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition 1 Introduction 2 Materials 3 Methods 4 Results 4.1 The Best Distribution Difference Metric 4.2 Source Domain Selection Strategy 4.3 Verifying the Source Domain Selection Strategy 5 Discussion 6 Conclusion References Automated Cone and Vessel Analysis in Adaptive Optics Like Retinal Images for Clinical Diagnostics Support 1 Introduction 2 Methods 2.1 Requirements and Data Specifics 2.2 Vessel Segmentation and Analysis 2.3 Cone Analysis 3 Evaluation and Results 4 Discussion and Conclusion References Author Index