:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Luo, Lingxiao, Chen, Xuanzhong, Tang, Bingda, Chen, Xinsheng, Han, Rong, Hu, Chengpeng, Li, Yujiang, Chen, Ting
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2312.07630
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
by: Luo, Lingxiao, et al.
Published: (2024)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis
by: Tang, Bingda, et al.
Published: (2025)

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
by: Ye, Yiwen, et al.
Published: (2025)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
by: Zhao, Lin, et al.
Published: (2024)

Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation
by: Mishra, Suraj, et al.
Published: (2024)

Adapting a Segmentation Foundation Model for Medical Image Classification
by: Gu, Pengfei, et al.
Published: (2025)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)

Concept-to-Pixel: Prompt-Free Universal Medical Image Segmentation
by: Chen, Haoyun, et al.
Published: (2026)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
by: Jin, Ruinan, et al.
Published: (2024)

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
by: Zhang, Han, et al.
Published: (2025)

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)

Improved Focus on Hard Samples for Lung Nodule Detection
by: Chen, Yujiang, et al.
Published: (2024)

Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring
by: Gao, Hu, et al.
Published: (2025)

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
by: Lin, Yuxiang, et al.
Published: (2024)

Improving Generalization of Medical Image Registration Foundation Model
by: Hu, Jing, et al.
Published: (2025)

A Foundation Model for General Moving Object Segmentation in Medical Images
by: Yan, Zhongnuo, et al.
Published: (2023)

GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation
by: Liang, Zhuonan, et al.
Published: (2026)

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning
by: Han, Xu, et al.
Published: (2024)

DEAP-3DSAM: Decoder Enhanced and Auto Prompt SAM for 3D Medical Image Segmentation
by: Chen, Fangda, et al.
Published: (2025)

Boosting Medical Image Classification with Segmentation Foundation Model
by: Gu, Pengfei, et al.
Published: (2024)

UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
by: Wu, Linshan, et al.
Published: (2025)

Lossless Copyright Protection via Intrinsic Model Fingerprinting
by: Chen, Lingxiao, et al.
Published: (2026)

CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
by: Chen, Zixuan, et al.
Published: (2023)

Out-of-distribution Detection in Medical Image Analysis: A survey
by: Hong, Zesheng, et al.
Published: (2024)

Forging a Dynamic Memory: Retrieval-Guided Continual Learning for Generalist Medical Foundation Models
by: Chen, Zizhi, et al.
Published: (2025)

VAMamba: An Efficient Visual Adaptive Mamba for Image Restoration
by: Hu, Han, et al.
Published: (2025)

MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
by: Luo, Di, et al.
Published: (2025)

Foundation Models in Medical Image Analysis: A Systematic Review and Meta-Analysis
by: Rajendran, Praveenbalaji, et al.
Published: (2025)

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

Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels
by: Qian, Chengxuan, et al.
Published: (2025)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
by: Liang, Pengchen, et al.
Published: (2025)

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation
by: Tang, Jiaqi, et al.
Published: (2026)

Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
by: Luo, Luyang, et al.
Published: (2024)

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
by: Qu, Jingguo, et al.
Published: (2025)

Downstream Analysis of Foundational Medical Vision Models for Disease Progression
by: Demir, Basar, et al.
Published: (2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation
by: Wu, Rong, et al.
Published: (2025)

CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement
by: Liu, Yun, et al.
Published: (2024)

Aligning Medical Images with General Knowledge from Large Language Models
by: Fang, Xiao, et al.
Published: (2024)

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think
by: Tang, Bingda, et al.
Published: (2026)

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?
by: Peng, Haosong, et al.
Published: (2026)