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

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