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,
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| Series: | Lecture notes in computer science ;
14229. |
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| 111 | 2 | |a International Conference on Medical Image Computing and Computer-Assisted Intervention |n (26th : |d 2023 : |c Vancouver, B.C. ; Online) | |
| 245 | 1 | 0 | |a Medical image computing and computer assisted intervention -- MICCAI 2023 : |b 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. |n Part X / |c Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors. |
| 246 | 3 | |a MICCAI 2023 | |
| 264 | 1 | |a Cham : |b Springer, |c 2023. | |
| 300 | |a 1 online resource (xxxviii, 795 pages) : |b illustrations (some color). | ||
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| 490 | 1 | |a Lecture notes in computer science, |x 1611-3349 ; |v 14229 | |
| 520 | |a 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. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning - transfer learning; Part II: Machine learning -- learning strategies; machine learning -- explainability, bias, and uncertainty; Part III: Machine learning -- explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications -- abdomen; clinical applications -- breast; clinical applications -- cardiac; clinical applications -- dermatology; clinical applications -- fetal imaging; clinical applications -- lung; clinical applications -- musculoskeletal; clinical applications -- oncology; clinical applications -- ophthalmology; clinical applications -- vascular; Part VIII: Clinical applications -- neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration. | ||
| 500 | |a Includes author index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed October 3, 2023). | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 650 | 0 | |a Diagnostic imaging |x Data processing |v Congresses. | |
| 700 | 1 | |a Greenspan, Hayit, |e editor. | |
| 700 | 1 | |a Madabhushi, Anant, |e editor. |1 https://orcid.org/0000-0002-5741-0399 | |
| 700 | 1 | |a Mousavi, Parvin, |e editor. | |
| 700 | 1 | |a Salcudean, Septimiu Edmund, |e editor. |1 https://orcid.org/0000-0001-8826-8025 | |
| 700 | 1 | |a Duncan, James, |d 1951- |e editor. |1 https://orcid.org/0000-0002-5167-9856 | |
| 700 | 1 | |a Syeda-Mahmood, Tanveer, |e editor. |1 https://orcid.org/0000-0003-0059-3208 | |
| 700 | 1 | |a Taylor, Russell, |e editor. |0 (orcid)0000-0001-6272-1100 |1 https://orcid.org/0000-0001-6272-1100 | |
| 830 | 0 | |a Lecture notes in computer science ; |v 14229. |x 1611-3349 | |
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