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Information processing in medical im...
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International Conference on Information Processing in Medical Imaging (2023 :)
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Information processing in medical imaging = 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Information processing in medical imaging/ edited by Alejandro Frangi ... [et al.].
其他題名:
28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023 : proceedings /
其他題名:
IPMI 2023
其他作者:
Frangi, Alejandro F.
團體作者:
International Conference on Information Processing in Medical Imaging
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xxi, 839 p. :ill. (chiefly color), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Diagnostic imaging - Congresses. - Data processing -
電子資源:
https://doi.org/10.1007/978-3-031-34048-2
ISBN:
9783031340482
Information processing in medical imaging = 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023 : proceedings /
Information processing in medical imaging
28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023 : proceedings /[electronic resource] :IPMI 2023edited by Alejandro Frangi ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xxi, 839 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,139391611-3349 ;. - Lecture notes in computer science ;13939..
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.
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.
ISBN: 9783031340482
Standard No.: 10.1007/978-3-031-34048-2doiSubjects--Topical Terms:
893542
Diagnostic imaging
--Data processing--Congresses.
LC Class. No.: RC78.7.D53
Dewey Class. No.: 616.07540285
Information processing in medical imaging = 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023 : proceedings /
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