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Information Processing in Medical Imaging [[electronic resource] ] : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings / / edited by Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab
| Information Processing in Medical Imaging [[electronic resource] ] : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings / / edited by Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab |
| Autore | Frangi Alejandro |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (836 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
de BruijneMarleen
WassermannDemian NavabNassir |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Computer networks Computer science - Mathematics Application software Computer Vision Computer Communication Networks Mathematics of Computing Computer and Information Systems Applications |
| ISBN | 3-031-34048-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996538667203316 |
Frangi Alejandro
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Information Processing in Medical Imaging : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings / / edited by Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab
| Information Processing in Medical Imaging : 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings / / edited by Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab |
| Autore | Frangi Alejandro |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (836 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
de BruijneMarleen
WassermannDemian NavabNassir |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Computer networks Computer science - Mathematics Application software Computer Vision Computer Communication Networks Mathematics of Computing Computer and Information Systems Applications |
| ISBN | 3-031-34048-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910728934903321 |
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Frangi Alejandro
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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