MedFILIP: Medical Fine-grained Language-Image Pre-training
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Xinjie, Li, Xiangyu, Li, Fanding, Jiang, Jie, Dong, Qing, Wang, Wei, Wang, Kuanquan, Dong, Suyu, Luo, Gongning, Li, Shuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025)
by: Li, Fanding, et al.
Published: (2025)
PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)
by: Qiu, Xingyu, et al.
Published: (2026)
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
by: Liang, Dong, et al.
Published: (2025)
by: Liang, Dong, et al.
Published: (2025)
Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
by: Qiu, Xingyu, et al.
Published: (2025)
by: Qiu, Xingyu, et al.
Published: (2025)
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network
by: Qiu, Xingyu, et al.
Published: (2025)
by: Qiu, Xingyu, et al.
Published: (2025)
MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining
by: Chu, Yuetan, et al.
Published: (2026)
by: Chu, Yuetan, et al.
Published: (2026)
Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
by: Deng, Ziye, et al.
Published: (2025)
by: Deng, Ziye, et al.
Published: (2025)
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation
by: Lv, Yunhao, et al.
Published: (2025)
by: Lv, Yunhao, et al.
Published: (2025)
In Pursuit of Pixel Supervision for Visual Pre-training
by: Yang, Lihe, et al.
Published: (2025)
by: Yang, Lihe, et al.
Published: (2025)
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
by: Liu, Jiarun, et al.
Published: (2024)
by: Liu, Jiarun, et al.
Published: (2024)
Thinking Augmented Pre-training
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
by: He, Xiaoxuan, et al.
Published: (2023)
by: He, Xiaoxuan, et al.
Published: (2023)
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training
by: Li, Yiming, et al.
Published: (2024)
by: Li, Yiming, et al.
Published: (2024)
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
by: Shui, Zhongyi, et al.
Published: (2025)
by: Shui, Zhongyi, et al.
Published: (2025)
Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)
by: Chu, Yuetan, et al.
Published: (2025)
Multimodal Medical Image Classification via Synergistic Learning Pre-training
by: Lin, Qinghua, et al.
Published: (2025)
by: Lin, Qinghua, et al.
Published: (2025)
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
by: Luo, Gongning, et al.
Published: (2023)
by: Luo, Gongning, et al.
Published: (2023)
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
by: Wang, Jin, et al.
Published: (2024)
by: Wang, Jin, et al.
Published: (2024)
Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
by: Li, Yibo, et al.
Published: (2024)
by: Li, Yibo, et al.
Published: (2024)
FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training
by: Huang, Jiale, et al.
Published: (2024)
by: Huang, Jiale, et al.
Published: (2024)
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
by: Jiang, Chao, et al.
Published: (2024)
by: Jiang, Chao, et al.
Published: (2024)
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)
by: Tang, Yiwen, et al.
Published: (2023)
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
by: Lei, Xingliang, et al.
Published: (2024)
by: Lei, Xingliang, et al.
Published: (2024)
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models
by: Chen, Jiawei, et al.
Published: (2024)
by: Chen, Jiawei, et al.
Published: (2024)
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning
by: Wu, Lingyan, et al.
Published: (2026)
by: Wu, Lingyan, et al.
Published: (2026)
A Closer Look at the Explainability of Contrastive Language-Image Pre-training
by: Li, Yi, et al.
Published: (2023)
by: Li, Yi, et al.
Published: (2023)
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
by: He, Jinlong, et al.
Published: (2024)
by: He, Jinlong, et al.
Published: (2024)
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model
by: Chen, Zhonglong, et al.
Published: (2024)
by: Chen, Zhonglong, et al.
Published: (2024)
Anatomical Structure-Guided Medical Vision-Language Pre-training
by: Li, Qingqiu, et al.
Published: (2024)
by: Li, Qingqiu, et al.
Published: (2024)
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
by: Tang, Fenghe, et al.
Published: (2024)
by: Tang, Fenghe, et al.
Published: (2024)
VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
by: Kong, Shufeng, et al.
Published: (2025)
by: Kong, Shufeng, et al.
Published: (2025)
MedMamba: Vision Mamba for Medical Image Classification
by: Yue, Yubiao, et al.
Published: (2024)
by: Yue, Yubiao, et al.
Published: (2024)
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
by: Li, Guanchen, et al.
Published: (2024)
by: Li, Guanchen, et al.
Published: (2024)
Split Adaptation for Pre-trained Vision Transformers
by: Wang, Lixu, et al.
Published: (2025)
by: Wang, Lixu, et al.
Published: (2025)
Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained Reflection
by: Yang, Zongxian, et al.
Published: (2025)
by: Yang, Zongxian, et al.
Published: (2025)
Multi-modal Vision Pre-training for Medical Image Analysis
by: Rui, Shaohao, et al.
Published: (2024)
by: Rui, Shaohao, et al.
Published: (2024)
Similar Items
-
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025) -
PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation
by: Li, Xiangyu, et al.
Published: (2026) -
Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026) -
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
by: Liang, Dong, et al.
Published: (2025) -
Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
by: Qiu, Xingyu, et al.
Published: (2025)