Cover Image

Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yanwu, Chen, Hairui, Hu, Jiesi, Guo, Xutao, Ma, Ting
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuroverse3D: Developing In-Context Learning Universal Model for Neuroimaging in 3D
by: Hu, Jiesi, et al.
Published: (2025)

Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis
by: Hu, Jiesi, et al.
Published: (2025)

Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
by: Hu, Jiesi, et al.
Published: (2025)

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
by: Hu, Jiesi, et al.
Published: (2025)

MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
by: Yang, Yanwu, et al.
Published: (2025)

Centerline Boundary Dice Loss for Vascular Segmentation
by: Shi, Pengcheng, et al.
Published: (2024)

Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
by: Hu, Yupeng, et al.
Published: (2023)

SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation
by: Luan, Wuyang, et al.
Published: (2026)

Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation
by: Ma, Juncheng, et al.
Published: (2024)

Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data
by: Yu, Chengzhou, et al.
Published: (2024)

VideoGen-of-Thought: Step-by-step generating multi-shot video with minimal manual intervention
by: Zheng, Mingzhe, et al.
Published: (2024)

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
by: Li, Changlin, et al.
Published: (2024)

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion
by: Puglisi, Lemuel, et al.
Published: (2025)

Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
by: Baharoon, Mohammed, et al.
Published: (2023)

Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization
by: Yang, Yanwu, et al.
Published: (2025)

Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images
by: Yang, Qishun, et al.
Published: (2026)

FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories
by: Ke, Lei, et al.
Published: (2025)

BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance
by: Wang, Ling, et al.
Published: (2024)

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
by: Thrasher, Jacob, et al.
Published: (2024)

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
by: Chen, Yang, et al.
Published: (2024)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
by: Chen, Zhimin, et al.
Published: (2023)

Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment
by: Feng, Zhanbo, et al.
Published: (2023)

Advancing Complex Video Object Segmentation via Progressive Concept Construction
by: Zhang, Zhixiong, et al.
Published: (2025)

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining
by: Guo, Qingpei, et al.
Published: (2024)

From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment
by: Suo, Yucheng, et al.
Published: (2025)

BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction
by: Fu, Honghao, et al.
Published: (2023)

Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning
by: Lai, Yinyi, et al.
Published: (2024)

Learning to Manipulate Artistic Images
by: Guo, Wei, et al.
Published: (2024)

On Multi-Step Theorem Prediction via Non-Parametric Structural Priors
by: Zhao, Junbo, et al.
Published: (2026)

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
by: Chen, Liuqing, et al.
Published: (2025)

PMG: Progressive Motion Generation via Sparse Anchor Postures Curriculum Learning
by: Xi, Yingjie, et al.
Published: (2025)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
by: Jin, Cheng, et al.
Published: (2023)

Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
by: Song, Weinan, et al.
Published: (2023)

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records
by: He, Yili, et al.
Published: (2025)

Progressive Image Restoration via Text-Conditioned Video Generation
by: Kang, Peng, et al.
Published: (2025)

Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
by: Liang, Wei, et al.
Published: (2026)

Self-Evaluation Unlocks Any-Step Text-to-Image Generation
by: Yu, Xin, et al.
Published: (2025)

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
by: Kang, Mengtian, et al.
Published: (2024)

Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
by: Chen, Guanjie, et al.
Published: (2025)

Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
by: Yang, Tao, et al.
Published: (2025)