Copertina

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Träuble, Jakob, Hiscox, Lucy, Johnson, Curtis, Schönlieb, Carola-Bibiane, Schierle, Gabriele Kaminski, Aviles-Rivero, Angelica
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors
di: Cheng, Yanqi, et al.
Pubblicazione: (2024)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
di: Zhang, Lipei, et al.
Pubblicazione: (2024)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
di: Deng, Zhongying, et al.
Pubblicazione: (2022)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
di: Kennerley, Mikhail, et al.
Pubblicazione: (2025)

SpectraKAN: Conditioning Spectral Operators
di: Cheng, Chun-Wun, et al.
Pubblicazione: (2026)

PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
di: Cheng, Chun-Wun, et al.
Pubblicazione: (2025)

Optimised ProPainter for Video Diminished Reality Inpainting
di: Li, Pengze, et al.
Pubblicazione: (2024)

CATO: Charted Attention for Neural PDE Operators
di: Cheng, Chun-Wun, et al.
Pubblicazione: (2026)

HIBMatch: Hypergraph Information Bottleneck for Semi-supervised Alzheimer's Progression
di: Deng, Zhongying, et al.
Pubblicazione: (2023)

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
di: Zhang, Lipei, et al.
Pubblicazione: (2025)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
di: Bryutkin, Andrey, et al.
Pubblicazione: (2024)

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
di: Aviles-Rivero, Angelica I., et al.
Pubblicazione: (2024)

Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes
di: Peaslee, Wallace, et al.
Pubblicazione: (2025)

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
di: Deng, Zhongying, et al.
Pubblicazione: (2025)

Deep Spectral Prior
di: Cheng, Yanqi, et al.
Pubblicazione: (2025)

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
di: Huang, Chaoyan, et al.
Pubblicazione: (2024)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
di: Yang, Liutao, et al.
Pubblicazione: (2024)

Data-driven approaches to inverse problems
di: Schönlieb, Carola-Bibiane, et al.
Pubblicazione: (2025)

Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
di: Iske, Meira, et al.
Pubblicazione: (2026)

Proximal Langevin Sampling With Inexact Proximal Mapping
di: Ehrhardt, Matthias J., et al.
Pubblicazione: (2023)

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
di: Zhang, Yi, et al.
Pubblicazione: (2024)

Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
di: Cheng, Chun-Wun, et al.
Pubblicazione: (2024)

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
di: Zhang, Yi, et al.
Pubblicazione: (2024)

Continuous Learned Primal Dual
di: Runkel, Christina, et al.
Pubblicazione: (2024)

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
di: Eliasof, Moshe, et al.
Pubblicazione: (2025)

GRANOLA: Adaptive Normalization for Graph Neural Networks
di: Eliasof, Moshe, et al.
Pubblicazione: (2024)

HypeR Adaptivity: Joint $hr$-Adaptive Meshing via Hypergraph Multi-Agent Deep Reinforcement Learning
di: Grillo, Niccolò, et al.
Pubblicazione: (2025)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
di: Cheng, Chun-Wun, et al.
Pubblicazione: (2025)

The Missing U for Efficient Diffusion Models
di: Calvo-Ordonez, Sergio, et al.
Pubblicazione: (2023)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
di: Huang, Jiahao, et al.
Pubblicazione: (2024)

Spatiotemporal Graph Neural Network Modelling Perfusion MRI
di: Yan, Ruodan, et al.
Pubblicazione: (2024)

Inverse Evolution Data Augmentation for Neural PDE Solvers
di: Liu, Chaoyu, et al.
Pubblicazione: (2025)

Generative Unordered Flow for Set-Structured Data Generation
di: Li, Yangming, et al.
Pubblicazione: (2025)

Deep Network Trainability via Persistent Subspace Orthogonality
di: Massucco, Alex, et al.
Pubblicazione: (2025)

Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
di: Khelifa, Naïl, et al.
Pubblicazione: (2025)

Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
di: Tang, Junqi, et al.
Pubblicazione: (2022)

Approximation Theory for Lipschitz Continuous Transformers
di: Furuya, Takashi, et al.
Pubblicazione: (2026)

Approximation theory for 1-Lipschitz ResNets
di: Murari, Davide, et al.
Pubblicazione: (2025)

FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
di: Feldman, Or, et al.
Pubblicazione: (2025)

Single-Shot Plug-and-Play Methods for Inverse Problems
di: Cheng, Yanqi, et al.
Pubblicazione: (2023)