Cover Image

Forecasting Future Anatomies: Longitudinal Brain Mri-to-Mri Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Farki, Ali, Moradi, Elaheh, Koundal, Deepika, Tohka, Jussi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting Whole-Brain Neuronal Activity from Volumetric Video
by: Immer, Alexander, et al.
Published: (2025)

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
by: Lueckmann, Jan-Matthis, et al.
Published: (2025)

Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
by: Eren, Semih, et al.
Published: (2025)

Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
by: Gijsen, Sam, et al.
Published: (2025)

Exploring Theory-Laden Observations in the Brain Basis of Emotional Experience
by: Westlin, Christiana, et al.
Published: (2025)

Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
by: Birnbaum, Andrew M, et al.
Published: (2025)

Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI
by: Caselles-Dupré, Hugo, et al.
Published: (2024)

Higher-Order Convolution Improves Neural Predictivity in the Retina
by: Azeglio, Simone, et al.
Published: (2025)

Image Statistics Predict the Sensitivity of Perceptual Quality Metrics
by: Hepburn, Alexander, et al.
Published: (2023)

Voxel-Level Brain States Prediction Using Swin Transformer
by: Sun, Yifei, et al.
Published: (2025)

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI
by: Styll, Patrick, et al.
Published: (2024)

Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
by: Pistos, Michalis, et al.
Published: (2024)

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury
by: Bao, Rina, et al.
Published: (2024)

Kuramoto Orientation Diffusion Models
by: Song, Yue, et al.
Published: (2025)

Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
by: Wang, Yule, et al.
Published: (2025)

Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception
by: Garcia, Kathy, et al.
Published: (2025)

Automatic Screening of Parkinson's Disease from Visual Explorations
by: Alcala-Durand, Maria F., et al.
Published: (2025)

Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
by: McNeal, Nikolas, et al.
Published: (2025)

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
by: Greco, Antonino, et al.
Published: (2025)

Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
by: Anthes, Daniel, et al.
Published: (2023)

Visual representations in the human brain are aligned with large language models
by: Doerig, Adrien, et al.
Published: (2022)

Characterizing Universal Object Representations Across Vision Models
by: Mahner, Florian P., et al.
Published: (2026)

Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
by: Schaeffer, Rylan, et al.
Published: (2024)

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
by: Wang, Yule, et al.
Published: (2024)

Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Models
by: Duan, Sunny, et al.
Published: (2024)

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
by: Rabbi, Jakaria, et al.
Published: (2024)

Multi-modal MRI-Based Alzheimer's Disease Diagnosis with Transformer-based Image Synthesis and Transfer Learning
by: Qiu, Jason
Published: (2026)

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
by: Gokce, Abdulkadir, et al.
Published: (2024)

Discriminating image representations with principal distortions
by: Feather, Jenelle, et al.
Published: (2024)

Convolution goes higher-order: a biologically inspired mechanism empowers image classification
by: Azeglio, Simone, et al.
Published: (2024)

Layerwise complexity-matched learning yields an improved model of cortical area V2
by: Parthasarathy, Nikhil, et al.
Published: (2023)

Online Multi-spectral Neuron Tracing
by: Duan, Bin, et al.
Published: (2024)

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention
by: Qian, Kuanren, et al.
Published: (2024)

Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting
by: Stoyanov, Ivan, et al.
Published: (2025)

A Multimodal Seq2Seq Transformer for Predicting Brain Responses to Naturalistic Stimuli
by: He, Qianyi, et al.
Published: (2025)

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
by: Xiao, Yang, et al.
Published: (2025)

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
by: Dong, Zijian, et al.
Published: (2024)

Predictive Attractor Models
by: Mounir, Ramy, et al.
Published: (2024)

BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification
by: Hou, Jiacheng, et al.
Published: (2025)

Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
by: Lu, Zitong, et al.
Published: (2024)