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Cover image for Information Processing in Medical Imaging 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings
Title:
Information Processing in Medical Imaging 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings
Author:
Frangi, Alejandro. editor.
ISBN:
9783031340482
Edition:
1st ed. 2023.
Physical Description:
XXI, 839 p. 256 illus., 240 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 13939
Contents:
Biomarkers Resolving quantitative MRI model degeneracy with machine learning via training data distribution design -- Subtype and stage inference with timescales -- Brain connectomics HoloBrain: A Harmonic Holography for Self-organized Brain Function -- Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder -- mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds -- Computer-Aided Diagnosis/Surgery Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification -- Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease -- Filtered trajectory recovery: a continuous extension to event-based model for Alzheimer's disease progression modeling -- Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding -- Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT -- MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET -- Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-stage Breast Invasive Carcinoma from Whole-slide Pathological Images -- On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations -- Pixel-level explanation of multiple instance learning models in biomedical single cell images -- Marr Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model -- Weakly Semi-Supervised Detection in Lung Ultrasound Videos -- Optimization Differentiable Gamma Index-based loss functions: accelerating Monte-Carlo radiotherapy dose simulation -- Diversified stochastic orthonormal projective non-negative matrix factorization for big neuroimaging data -- Reconstruction Deep Physics-informed Super-resolution of Cardiac 4D-flow MRI -- Fast-MC-PET: A Novel Deep Learning-aid Motion Correction and Reconstruction Framework for Accelerated PET -- MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI -- Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.
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