Saved in:
| Main Authors: | Li, Gengliang, Chen, Rongyu, Li, Bin, Yang, Linlin, Ding, Guodong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.15154 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Condensing Action Segmentation Datasets via Generative Network Inversion
by: Ding, Guodong, et al.
Published: (2025)
by: Ding, Guodong, et al.
Published: (2025)
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
by: Lai, Yuxiang, et al.
Published: (2025)
by: Lai, Yuxiang, et al.
Published: (2025)
MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement
by: Ding, Meidan, et al.
Published: (2026)
by: Ding, Meidan, et al.
Published: (2026)
MedHorizon: Towards Long-context Medical Video Understanding in the Wild
by: Du, Bodong, et al.
Published: (2026)
by: Du, Bodong, et al.
Published: (2026)
MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)
by: Shao, Hao, et al.
Published: (2025)
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
by: Zhang, Fanrui, et al.
Published: (2025)
by: Zhang, Fanrui, et al.
Published: (2025)
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
by: Yang, Zhuoqin, et al.
Published: (2025)
by: Yang, Zhuoqin, et al.
Published: (2025)
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
by: Pan, Jiazhen, et al.
Published: (2025)
by: Pan, Jiazhen, et al.
Published: (2025)
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
by: Huang, Yu, et al.
Published: (2025)
by: Huang, Yu, et al.
Published: (2025)
MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization
by: Zhang, Haitao, et al.
Published: (2026)
by: Zhang, Haitao, et al.
Published: (2026)
MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
by: Liu, Zhaoshan, et al.
Published: (2023)
by: Liu, Zhaoshan, et al.
Published: (2023)
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
by: Li, Wangkai, et al.
Published: (2025)
by: Li, Wangkai, et al.
Published: (2025)
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)
by: Chen, Yuanbin, et al.
Published: (2023)
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs
by: Ma, Wen, et al.
Published: (2026)
by: Ma, Wen, et al.
Published: (2026)
Towards Cross-Platform Generalization: Domain Adaptive 3D Detection with Augmentation and Pseudo-Labeling
by: Feng, Xiyan, et al.
Published: (2026)
by: Feng, Xiyan, et al.
Published: (2026)
Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
by: Chen, Chao, et al.
Published: (2022)
by: Chen, Chao, et al.
Published: (2022)
M$^3$-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding
by: Liu, Shenxi, et al.
Published: (2025)
by: Liu, Shenxi, et al.
Published: (2025)
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
by: Jing, Linglin, et al.
Published: (2024)
by: Jing, Linglin, et al.
Published: (2024)
MedVAR: Towards Scalable and Efficient Medical Image Generation via Next-scale Autoregressive Prediction
by: He, Zhicheng, et al.
Published: (2026)
by: He, Zhicheng, et al.
Published: (2026)
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
by: Wang, Haoyu, et al.
Published: (2023)
by: Wang, Haoyu, et al.
Published: (2023)
Domain Adaptation Using Pseudo Labels
by: Chhabra, Sachin, et al.
Published: (2024)
by: Chhabra, Sachin, et al.
Published: (2024)
MedVLThinker: Simple Baselines for Multimodal Medical Reasoning
by: Huang, Xiaoke, et al.
Published: (2025)
by: Huang, Xiaoke, et al.
Published: (2025)
PRS-Med: Position Reasoning Segmentation in Medical Imaging
by: Trinh, Quoc-Huy, et al.
Published: (2025)
by: Trinh, Quoc-Huy, et al.
Published: (2025)
TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation
by: Zhang, Peilin, et al.
Published: (2025)
by: Zhang, Peilin, et al.
Published: (2025)
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
by: Han, Jiayi, et al.
Published: (2023)
by: Han, Jiayi, et al.
Published: (2023)
Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
by: Zhao, Qiaochu, et al.
Published: (2026)
by: Zhao, Qiaochu, et al.
Published: (2026)
Context-Aware Pseudo-Label Scoring for Zero-Shot Video Summarization
by: Wu, Yuanli, et al.
Published: (2025)
by: Wu, Yuanli, et al.
Published: (2025)
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
by: Zuo, Yuxin, et al.
Published: (2025)
by: Zuo, Yuxin, et al.
Published: (2025)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling
by: Li, Mei, et al.
Published: (2026)
by: Li, Mei, et al.
Published: (2026)
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
by: Schlachter, Pascal, et al.
Published: (2025)
by: Schlachter, Pascal, et al.
Published: (2025)
A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
by: Li, Ruili, et al.
Published: (2026)
by: Li, Ruili, et al.
Published: (2026)
MaskMed: Decoupled Mask and Class Prediction for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)
by: Xie, Bin, et al.
Published: (2025)
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
by: Xu, Huihui, et al.
Published: (2025)
by: Xu, Huihui, et al.
Published: (2025)
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
by: Wang, Zhisong, et al.
Published: (2024)
by: Wang, Zhisong, et al.
Published: (2024)
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
by: Chen, Junzhuo, et al.
Published: (2024)
by: Chen, Junzhuo, et al.
Published: (2024)
Med3D-R1: Incentivizing Clinical Reasoning in 3D Medical Vision-Language Models for Abnormality Diagnosis
by: Lai, Haoran, et al.
Published: (2026)
by: Lai, Haoran, et al.
Published: (2026)
MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
by: Wang, Langyu, et al.
Published: (2025)
by: Wang, Langyu, et al.
Published: (2025)
Similar Items
-
Condensing Action Segmentation Datasets via Generative Network Inversion
by: Ding, Guodong, et al.
Published: (2025) -
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
by: Lai, Yuxiang, et al.
Published: (2025) -
MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement
by: Ding, Meidan, et al.
Published: (2026) -
MedHorizon: Towards Long-context Medical Video Understanding in the Wild
by: Du, Bodong, et al.
Published: (2026) -
MedSeg-R: Medical Image Segmentation with Clinical Reasoning
by: Shao, Hao, et al.
Published: (2025)