Medical image computing and computer assisted intervention -- MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Part X / Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023....
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Other title: | MICCAI 2023 |
Format: | Electronic Conference Proceeding eBook |
Language: | English |
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Springer,
2023.
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Series: | Lecture notes in computer science ;
14229. |
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Table of Contents:
- Intro
- Preface
- Organization
- Contents - Part X
- Image Reconstruction
- CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
- 1 Introduction
- 2 Methodology
- 2.1 Model Components and Training
- 2.2 K-Space Conditioning Reverse Process
- 3 Experimental Results
- 3.1 Implementation Details and Evaluation Methods
- 3.2 Comparison and Ablation Studies
- 4 Discussion and Conclusion
- References
- Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
- 1 Introduction
- 2 Method
- 2.1 Intensity Field
- 2.2 DIF-Net: Deep Intensity Field Network
- 2.3 Network Training
- 2.4 Volume Reconstruction
- 3 Experiments
- 3.1 Experimental Settings
- 3.2 Results
- 4 Conclusion
- References
- Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
- 1 Introduction
- 2 Method
- 3 Experiments
- 3.1 Materials
- 3.2 Comparison with Other Methods
- 4 Conclusion
- References
- LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
- 1 Introduction
- 2 Methodology
- 2.1 Preliminaries
- 2.2 Proposed Methodology
- 3 Experiments
- 3.1 Dataset
- 3.2 Implementation Details
- 3.3 Results
- 4 Conclusion
- References
- An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
- 1 Introduction
- 2 Methods
- 2.1 Multi-sequence Fusion
- 2.2 Task-Specific Enhanced Map
- 3 Experiments
- 3.1 Dataset and Evaluation Metrics
- 3.2 Implementation Details
- 3.3 Quantitative Results
- 3.4 Ablation Study
- 3.5 Interpretability Visualization
- 4 Conclusion
- References
- Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
- 1 Introduction
- 2 Proposed Method
- 2.1 MaskGAN Architecture
- 2.2 CycleGAN Supervision
- 2.3 Mask and Cycle Shape Consistency Supervision
- 3 Experimental Results
- 3.1 Experimental Settings
- 3.2 Results and Discussions
- 4 Conclusion
- References
- Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images
- 1 Introduction
- 2 Methodology
- 2.1 Co-modulated Network
- 2.2 Alias-Free Generator
- 2.3 Optimization
- 3 Experiments
- 3.1 Experimental Settings
- 3.2 Comparative Experiments
- 4 Conclusion
- References
- Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
- 1 Introduction
- 2 Method
- 3 Experiments
- 4 Results
- 5 Discussion and Conclusion
- References
- Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising
- 1 Introduction
- 2 Method
- 3 Experimental Setting
- 4 Result and Discussion
- 5 Conclusion
- References
- Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication
- 1 Introduction
- 2 Method
- 2.1 Overall Architecture
- 2.2 Target Function
- 3 Experiments