Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, ProceedingsAlejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab This book constitutes the proceedings of the 28th International Conference on Information Processing in Medical Imaging, IPMI 2023, which took place in San Carlos de Bariloche, Argentina, in June 2023. The 63 full papers presented in this volume were carefully reviewed and selected from 169 submissions. They were organized in topical sections as follows: biomarkers; brain connectomics; computer-aided diagnosis/surgery; domain adaptation; geometric deep learning; groupwise atlasing; harmonization; federated learning; image synthesis; image enhancement; multimodal learning; registration; segmentation; self supervised learning; surface analysis and segmentation. |
Contents
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A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds | 53 |
ComputerAided DiagnosisSurgery | 66 |
Diffusion Model Based Semisupervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification | 67 |
SuperResolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge | 428 |
Multimodal Learning | 442 |
Improving Medical VQA via an Answer Querying Decoder | 443 |
Using Multiple Instance Learning to Build Multimodal Representations | 457 |
Improving Chest Xray Tasks with CrossModal Retrieval Augmentation | 471 |
Optimization | 483 |
Accelerating MonteCarlo Radiotherapy Dose Simulation | 485 |
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization | 497 |
Prototypical Additive Neural Network for Interpretable Classification of Alzheimers Disease | 82 |
A Continuous Extension to EventBased Model for Alzheimers Disease Progression Modeling | 95 |
Live ImageBased Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding4pt | 107 |
MetainformationAware Dualpath Transformer for Differential Diagnosis of Multitype Pancreatic Lesions in Multiphase CT | 119 |
MetabolismAware Vision Transformer for Differential Diagnosis of Parkinsonism with 18FFDG PET | 132 |
Multitask Multiinstance Learning for Jointly Diagnosis and Prognosis of EarlyStage Breast Invasive Carcinoma from WholeSlide Pathological Images | 145 |
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations | 158 |
PixelLevel Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images | 170 |
Transient Hemodynamics Prediction Using an Efficient OctreeBased Deep Learning Model | 183 |
Weakly Semisupervised Detection in Lung Ultrasound Videos | 195 |
Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering | 208 |
Domain Adaptation | 222 |
SourceFree Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher | 223 |
UncertaintyAware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation | 237 |
Unsupervised Adaptation of Polyp Segmentation Models via CoarsetoFine SelfSupervision | 250 |
Geometric Deep Learning | 263 |
EdgeBased Graph Neural Networks for CellGraph Modeling and Prediction | 265 |
Heterogeneous Graph Convolutional Neural Network via HodgeLaplacian for Brain Functional Data | 278 |
Modeling the Shape of the Brain Connectome via Deep Neural Networks | 291 |
Convolutional Neural Networks on Tetrahedral Meshes | 303 |
Groupwise Atlasing | 316 |
Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement | 319 |
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks4pt | 332 |
HarmonizationFederated Learning | 344 |
Unsupervised MR Harmonization Based on Normalizing Flows | 347 |
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation | 360 |
Image Synthesis | 372 |
Generating Dualenergy CT from Singleenergy CT for Realtime Determination of Intracerebral Hemorrhage | 375 |
SequenceAware Diffusion Model for Longitudinal Medical Image Generation | 388 |
Image Enhancement | 401 |
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal | 402 |
Where Optimal Transport Guided Unpaired ImagetoImage Translation Meets Regularization by Enhancing | 415 |
Reconstruction | 509 |
Deep PhysicsInformed SuperResolution of Cardiac 4DFlow MRI | 510 |
A Novel Deep LearningAided Motion Correction and Reconstruction Framework for Accelerated PET | 523 |
Surface Reconstruction of Subcortical Structures via Human Brain MRI | 536 |
Neural Implicit kSpace for BinningFree NonCartesian Cardiac MR Imaging | 548 |
Registration | 561 |
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images | 563 |
Learning Metamorphic Image Transformation with Appearance Changes | 576 |
Neural Operators to Predict Geodesics in Deformation Spaces | 588 |
Nonrigid Medical Image Registration using Physicsinformed Neural Networks | 601 |
Efficient FeatureBased Polyaffine Initialization for Improved Nonlinear Image Registration | 614 |
Segmentation | 626 |
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap | 629 |
Bootstrapping Semisupervised Medical Image Segmentation with AnatomicalAware Contrastive Distillation | 641 |
Learning Topological Similarity for Curvilinear Structure Segmentation | 654 |
HallucinationFree Organ Segmentation After Organ Resection Surgery | 667 |
HumanMachine Interactive Tissue Prototype Learning for LabelEfficient Histopathology Image Segmentation | 679 |
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplaces Equation | 692 |
Robust and Lightweight Segmentation with Neural Cellular Automata | 705 |
A Simple yet Effective Approach for PrivacyPreserving Segmentation | 717 |
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation | 730 |
Token Sparsification for Faster Medical Image Segmentation | 743 |
Instance Imbalance Aware Loss Functions for Semantic Segmentation | 755 |
Self Supervised Learning | 768 |
Multicontrast Fusion Enables Selfsupervised Tomographic Image Denoising | 771 |
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology | 783 |
Surface Analysis and Segmentation | 795 |
A SurfaceNormal Based Neural Framework for Colonoscopy Reconstruction | 796 |
Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape | 810 |
ModelInformed Deep Learning for Surface Segmentation in Medical Imaging | 822 |
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Common terms and phrases
accuracy algorithm Alzheimer's disease anatomical annotations approach arXiv arXiv preprint augmentation autoencoder baseline biomarkers brain Cham classification clinical cluster compared Computer Vision connectomes contrastive learning convolutional neural networks dataset decoder deep learning deformation denoising denotes detection diagnosis Dice diffeomorphic diffusion disease embedding encoder estimation evaluate framework Frangi geodesic global gradient graph ground truth IEEE Trans IEEE/CVF image registration image segmentation improve input IPMI iterative Laplacian Laplacian field layer lesion LNCS loss function machine learning matrix medical image medical image segmentation mesh metric MICCAI module multiple neural networks Neuroimage node normal optimal outperforms output parameters patches patients performance PINNs pre-trained prediction proposed method pseudo labels PSNR reconstruction regions representation learning retrieval samples scans self-supervised spatial structures subtype super-resolution supervised surface tion tissue tokens tractography trajectory transformation U-Net unsupervised updates vector visual voxel Wang Zhang
Bibliographic information
| Title | Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings Volume 13939 of Lecture Notes in Computer Science |
| Editors | Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab |
| Publisher | Springer Nature, 2023 |
| ISBN | 3031340485, 9783031340482 |
| Length | 839 pages |
| Subjects | › › Computers / Data Science / General Computers / General Computers / Networking / Hardware Computers / Optical Data Processing Computers / Software Development & Engineering / Computer Graphics Computers / Software Development & Engineering / General Mathematics / Discrete Mathematics |
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