Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Hong, Xin, Shi, Ying, Li, Yinhao, Chen, Yen-Wei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Long-Term Alzheimers Disease Prediction: A Novel Image Generation Method Using Temporal Parameter Estimation with Normal Inverse Gamma Distribution on Uneven Time Series
por: Hong, Xin, et al.
Publicado: (2025)
por: Hong, Xin, et al.
Publicado: (2025)
The Age-specific Alzheimer 's Disease Prediction with Characteristic Constraints in Nonuniform Time Span
por: Hong, Xin, et al.
Publicado: (2025)
por: Hong, Xin, et al.
Publicado: (2025)
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
por: Liu, Chen, et al.
Publicado: (2024)
por: Liu, Chen, et al.
Publicado: (2024)
AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder
por: Das, Ayantika, et al.
Publicado: (2025)
por: Das, Ayantika, et al.
Publicado: (2025)
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences
por: Moghaddami, Mahdi, et al.
Publicado: (2025)
por: Moghaddami, Mahdi, et al.
Publicado: (2025)
Alzheimer's Disease Prediction Using EffNetViTLoRA and BiLSTM with Multimodal Longitudinal MRI Data
por: Khatooni, Mahdieh Behjat, et al.
Publicado: (2025)
por: Khatooni, Mahdieh Behjat, et al.
Publicado: (2025)
ODG: Occupancy Prediction Using Dual Gaussians
por: Shi, Yunxiao, et al.
Publicado: (2025)
por: Shi, Yunxiao, et al.
Publicado: (2025)
BePo: Dual Representation for 3D Occupancy Prediction
por: Shi, Yunxiao, et al.
Publicado: (2025)
por: Shi, Yunxiao, et al.
Publicado: (2025)
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
por: Kang, Mengtian, et al.
Publicado: (2024)
por: Kang, Mengtian, et al.
Publicado: (2024)
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
por: Chen, Qiuhui, et al.
Publicado: (2025)
por: Chen, Qiuhui, et al.
Publicado: (2025)
Efficient Diffusion Distillation via Embedding Loss
por: Ying, Jincheng, et al.
Publicado: (2026)
por: Ying, Jincheng, et al.
Publicado: (2026)
Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Alzheimer's Prediction
por: Moayedikia, Alireza, et al.
Publicado: (2026)
por: Moayedikia, Alireza, et al.
Publicado: (2026)
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
por: Shi, Xiaoyu, et al.
Publicado: (2023)
por: Shi, Xiaoyu, et al.
Publicado: (2023)
Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences
por: Zhao, Zhihao, et al.
Publicado: (2024)
por: Zhao, Zhihao, et al.
Publicado: (2024)
Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm
por: Song, Yu, et al.
Publicado: (2025)
por: Song, Yu, et al.
Publicado: (2025)
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
por: Yasarla, Rajeev, et al.
Publicado: (2024)
por: Yasarla, Rajeev, et al.
Publicado: (2024)
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
por: Emre, Taha, et al.
Publicado: (2023)
por: Emre, Taha, et al.
Publicado: (2023)
Deformation-aware Temporal Generation for Early Prediction of Alzheimers Disease
por: Honga, Xin, et al.
Publicado: (2025)
por: Honga, Xin, et al.
Publicado: (2025)
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
por: Chen, Xuhui, et al.
Publicado: (2025)
por: Chen, Xuhui, et al.
Publicado: (2025)
Mapping Urban Villages in China: Progress and Challenges
por: Cao, Rui, et al.
Publicado: (2025)
por: Cao, Rui, et al.
Publicado: (2025)
AD-Reasoning: Multimodal Guideline-Guided Reasoning for Alzheimer's Disease Diagnosis
por: Chen, Qiuhui, et al.
Publicado: (2026)
por: Chen, Qiuhui, et al.
Publicado: (2026)
EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease
por: Chen, Qiuhui, et al.
Publicado: (2026)
por: Chen, Qiuhui, et al.
Publicado: (2026)
PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis
por: Wang, Jinhong, et al.
Publicado: (2024)
por: Wang, Jinhong, et al.
Publicado: (2024)
GLOMIA-Pro: A Generalizable Longitudinal Medical Image Analysis Framework for Disease Progression Prediction
por: Zhang, Shuaitong, et al.
Publicado: (2025)
por: Zhang, Shuaitong, et al.
Publicado: (2025)
Progressively Exploring and Exploiting Inference Data to Break Fine-Grained Classification Barrier
por: Zhao, Li-Jun, et al.
Publicado: (2024)
por: Zhao, Li-Jun, et al.
Publicado: (2024)
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
por: Liu, Xiaodong, et al.
Publicado: (2024)
por: Liu, Xiaodong, et al.
Publicado: (2024)
Affective Behaviour Analysis via Progressive Learning
por: Liu, Chen, et al.
Publicado: (2024)
por: Liu, Chen, et al.
Publicado: (2024)
ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression
por: Lee, Juneyong, et al.
Publicado: (2026)
por: Lee, Juneyong, et al.
Publicado: (2026)
Score Distillation Sampling with Learned Manifold Corrective
por: Alldieck, Thiemo, et al.
Publicado: (2024)
por: Alldieck, Thiemo, et al.
Publicado: (2024)
Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration
por: Baek, Geonwoo, et al.
Publicado: (2026)
por: Baek, Geonwoo, et al.
Publicado: (2026)
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
por: Zanjani, Farhad G., et al.
Publicado: (2024)
por: Zanjani, Farhad G., et al.
Publicado: (2024)
A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
por: Liu, Yuxiao, et al.
Publicado: (2024)
por: Liu, Yuxiao, et al.
Publicado: (2024)
Align-cDAE: Alzheimer's Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
por: Das, Ayantika, et al.
Publicado: (2026)
por: Das, Ayantika, et al.
Publicado: (2026)
oculomix: Hierarchical Sampling for Retinal-Based Systemic Disease Prediction
por: Kim, Hyunmin, et al.
Publicado: (2026)
por: Kim, Hyunmin, et al.
Publicado: (2026)
Semantically Structured Image Compression via Irregular Group-Based Decoupling
por: Feng, Ruoyu, et al.
Publicado: (2023)
por: Feng, Ruoyu, et al.
Publicado: (2023)
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
por: Emre, Taha, et al.
Publicado: (2024)
por: Emre, Taha, et al.
Publicado: (2024)
A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification
por: Tam, Thomas Yu Chow, et al.
Publicado: (2024)
por: Tam, Thomas Yu Chow, et al.
Publicado: (2024)
Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
por: Mantegna, Massimiliano, et al.
Publicado: (2026)
por: Mantegna, Massimiliano, et al.
Publicado: (2026)
PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors
por: Wang, Rongxuan, et al.
Publicado: (2024)
por: Wang, Rongxuan, et al.
Publicado: (2024)
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
por: Chakravarty, Arunava, et al.
Publicado: (2024)
por: Chakravarty, Arunava, et al.
Publicado: (2024)
Ejemplares similares
-
Long-Term Alzheimers Disease Prediction: A Novel Image Generation Method Using Temporal Parameter Estimation with Normal Inverse Gamma Distribution on Uneven Time Series
por: Hong, Xin, et al.
Publicado: (2025) -
The Age-specific Alzheimer 's Disease Prediction with Characteristic Constraints in Nonuniform Time Span
por: Hong, Xin, et al.
Publicado: (2025) -
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
por: Liu, Chen, et al.
Publicado: (2024) -
AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder
por: Das, Ayantika, et al.
Publicado: (2025) -
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences
por: Moghaddami, Mahdi, et al.
Publicado: (2025)