| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Predictive intelligence in medicine/ edited by Islem Rekik ... [et al.]. |
| Reminder of title: |
7th International Workshop, PRIME 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024 : proceedings / |
| remainder title: |
PRIME 2024 |
| other author: |
Rekik, Islem. |
| corporate name: |
PRIME (Workshop) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xii, 208 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Modelling the Neonatal Brain Development Using Implicit Neural Representations -- Attention Based Features Fusion Emotion Guided fNIRS Classification Network for Prenatal Depression Recognition -- Spectral Graph Sample Weighting for Interpretable Sub cohort Analysis in Predictive Models for Neuroimaging -- RCT Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence -- Gene to Image Decoding Brain Images from Genetics via Latent Diffusion Models -- Physics Guided Multi View Graph Neural Network for Schizophrenia Classification via Structural Functional Coupling -- Automated Patient Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy -- MNA net Multimodal Neuroimaging Attention based Architecture for Cognitive Decline Prediction -- Improving Brain MRI Segmentation with Multi Stage Deep Domain Unlearning -- DynGNN Dynamic Memory enhanced Generative GNNs for Predicting Temporal Brain Connectivity -- Strongly Topology preserving GNNs for Brain Graph Super resolution -- Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion -- Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia related risk factors -- Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction -- Self-Supervised Contrastive Learning for Consistent Few Shot Image Representations -- Neurocognitive Latent Space Regularization for Multi Label Diagnosis from MRI -- Segmentation of Brain Metastases in MRI A Two Stage Deep Learning Approach with Modality Impact Study. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Medical applications - |
| Online resource: |
https://doi.org/10.1007/978-3-031-74561-4 |
| ISBN: |
9783031745614 |