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1. Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution NSTL国家科技图书文献中心

Pragya Singh | Islem Rekik - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 124～136 - 共13页

摘要：Brain graph super-resolution is an under | -explored yet highly relevant task in network neuroscience | . It circumvents the need for costly and time | -consuming medical imaging data collection, preparation | , and processing. Current super-resolution methods

关键词： Topology-preserving GNNs | Super-resolution | Primal-dual formulation

2. Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study NSTL国家科技图书文献中心

Yousef Sadegheih | Dorit Merhof - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 196～206 - 共11页

摘要：Brain metastasis segmentation poses a | significant challenge in medical imaging due to the complex | presentation and variability in size and location of | metastases. In this study, we first investigate the impact | of different imaging modalities on segmentation

关键词： Deep learning | Detection and segmentation | Brain metastasis

3. Identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors NSTL国家科技图书文献中心

Berta Calm Salvans | Irene Cumplido Mayor...... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 149～160 - 共12页

摘要：Neuroimaging-derived brain age has been | identified as a promising biomarker for accelerated brain | age; however, the ageing process is highly | heterogeneous and there is a need to further study the | different brain ageing trajectories. In this study, we

关键词： Neurodegenerative disease | Brain age model | Ageing trajectories | Variational autoencoder | Latent space disentanglement

4. RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence NSTL国家科技图书文献中心

Mohammad Arafat Huss... | Ellen Grant ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 35～47 - 共13页

摘要：This paper introduces the Relational | Connectivity Transformer (RCT), a novel Graph-Transformer | model designed for predicting absolute and residual | full-scale intelligence quotient (FSIQ), performance | IQ (PIQ), and verbal IQ (VIQ) scores from resting

关键词： FMRI | Graph | Transformer | Neurocognition | Intelligence

5. Improving Brain MRI Segmentation with Multi-Stage Deep Domain Unlearning NSTL国家科技图书文献中心

Domen Preloznik | Ziga Spiclin - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 99～110 - 共12页

摘要：Inter-scanner variability of magnetic | resonance imaging has an adverse impact on the diagnostic | and prognostic quality of the scans and necessitates | the development of models robust to domain shift | inflicted by the unseen scanner data. Review of recent

关键词： Scanner variability | Image segmentation | Domain adaptation | Domain unlearning | Lesion segmentation | Brain parcellation

6. Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models NSTL国家科技图书文献中心

Sooyeon Jeon | Yujee Song ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 48～60 - 共13页

摘要：Imaging genetics, discovering associations | between imaging and genetic variations, has emerged as a | promising avenue to advance the understanding of | neurological disorders. However, the majority of existing | studies focus on selecting disease-related features to

关键词： Imaging genetics | Diffusion models | Alzheimer's disease

7. MNA-net: Multimodal Neuroimaging Attention-Based Architecture for Cognitive Decline Prediction NSTL国家科技图书文献中心

Jamie Vo | Naeha Sharif ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 86～98 - 共13页

摘要：Early detection of Alzheimer's Disease (AD) is | imperative for timely intervention and improving patient | prognosis. Predicting whether a Cognitively Normal (CN | ) patient will develop Mild Cognitive Impairment (MCI) or | AD is particularly beneficial. Recently, several

关键词： Alzheimer's prediction | Attention mechanisms | Multimodal | Neuroimaging | Deep learning | Cognitive decline

8. Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction NSTL国家科技图书文献中心

Cynthia Maldonado-Ga... | Arezoo Zakeri ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 161～172 - 共12页

摘要：Early identification of patients at risk of | cardiovascular diseases (CVD) is crucial for effective | preventive care, reducing healthcare burden, and improving | patients' quality of life. This study demonstrates the | potential of retinal optical coherence tomography (OCT

关键词： Multi-modal data | Cardiovascular diseases | Retinal imaging

9. Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion NSTL国家科技图书文献中心

Mayssa Soussia | Mohamed Ali Mahjoub ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 137～148 - 共12页

摘要：A connectional brain template (CBT) is a | fingerprint graph-based representation of a population of | brain networks, serving as an 'average' connectome | . CBTs are essential for creating representative maps | of brain connectivity in both typical and atypical

关键词： Hypergraph neural network | Connectional brain template | Brain network integration

10. Modeling the Neonatal Brain Development Using Implicit Neural Representations NSTL国家科技图书文献中心

Florentin Bieder | Paul Friedrich ... - 《Predictive Intelligence in Medicine》 - International Conference on Medical Image Computing and Computer Assisted Intervention | International Workshop on Predictive Intelligence in Medicine - 2025, - 1～11 - 共11页

摘要：The human brain undergoes rapid development | during the third trimester of pregnancy. In this work | , we model the neonatal development of the infant | brain in this age range. As a basis, we use MR images | of preterm- and term-birth neonates from the

摘要：Brain graph super-resolution is an under | -explored yet highly relevant task in network neuroscience | . It circumvents the need for costly and time | -consuming medical imaging data collection, preparation | , and processing. Current super-resolution methods

关键词： Topology-preserving GNNs | Super-resolution | Primal-dual formulation

摘要：Brain metastasis segmentation poses a | significant challenge in medical imaging due to the complex | presentation and variability in size and location of | metastases. In this study, we first investigate the impact | of different imaging modalities on segmentation

关键词： Deep learning | Detection and segmentation | Brain metastasis

摘要：Neuroimaging-derived brain age has been | identified as a promising biomarker for accelerated brain | age; however, the ageing process is highly | heterogeneous and there is a need to further study the | different brain ageing trajectories. In this study, we

关键词： Neurodegenerative disease | Brain age model | Ageing trajectories | Variational autoencoder | Latent space disentanglement

摘要：This paper introduces the Relational | Connectivity Transformer (RCT), a novel Graph-Transformer | model designed for predicting absolute and residual | full-scale intelligence quotient (FSIQ), performance | IQ (PIQ), and verbal IQ (VIQ) scores from resting

关键词： FMRI | Graph | Transformer | Neurocognition | Intelligence

摘要：Inter-scanner variability of magnetic | resonance imaging has an adverse impact on the diagnostic | and prognostic quality of the scans and necessitates | the development of models robust to domain shift | inflicted by the unseen scanner data. Review of recent

关键词： Scanner variability | Image segmentation | Domain adaptation | Domain unlearning | Lesion segmentation | Brain parcellation

摘要：Imaging genetics, discovering associations | between imaging and genetic variations, has emerged as a | promising avenue to advance the understanding of | neurological disorders. However, the majority of existing | studies focus on selecting disease-related features to

关键词： Imaging genetics | Diffusion models | Alzheimer's disease

摘要：Early detection of Alzheimer's Disease (AD) is | imperative for timely intervention and improving patient | prognosis. Predicting whether a Cognitively Normal (CN | ) patient will develop Mild Cognitive Impairment (MCI) or | AD is particularly beneficial. Recently, several

关键词： Alzheimer's prediction | Attention mechanisms | Multimodal | Neuroimaging | Deep learning | Cognitive decline

摘要：Early identification of patients at risk of | cardiovascular diseases (CVD) is crucial for effective | preventive care, reducing healthcare burden, and improving | patients' quality of life. This study demonstrates the | potential of retinal optical coherence tomography (OCT

关键词： Multi-modal data | Cardiovascular diseases | Retinal imaging

摘要：A connectional brain template (CBT) is a | fingerprint graph-based representation of a population of | brain networks, serving as an 'average' connectome | . CBTs are essential for creating representative maps | of brain connectivity in both typical and atypical

关键词： Hypergraph neural network | Connectional brain template | Brain network integration

摘要：The human brain undergoes rapid development | during the third trimester of pregnancy. In this work | , we model the neonatal development of the infant | brain in this age range. As a basis, we use MR images | of preterm- and term-birth neonates from the

关键词： Implicit neural representations | Neonatal development | MRI

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