RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jieru, Chen, Matthew, Nnamdi, Micky C., Tamo, J. Ben, Marteau, Benoit L., Wang, May D. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
by: Nnamdi, Micky C., et al.
Published: (2025)
by: Nnamdi, Micky C., et al.
Published: (2025)
Tree-of-Evidence: Efficient "System 2" Search for Faithful Multimodal Grounding
by: Nnamdi, Micky C., et al.
Published: (2026)
by: Nnamdi, Micky C., et al.
Published: (2026)
EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
by: Tamo, J. Ben, et al.
Published: (2026)
by: Tamo, J. Ben, et al.
Published: (2026)
RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024)
by: Chen, Wei-Ting, et al.
Published: (2024)
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2023)
by: Zeng, Shuang, et al.
Published: (2023)
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)
by: Wei, Xiaobao, et al.
Published: (2023)
Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring
by: Shukla, Aditya, et al.
Published: (2026)
by: Shukla, Aditya, et al.
Published: (2026)
MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
by: Cui, Xiangxiang, et al.
Published: (2026)
by: Cui, Xiangxiang, et al.
Published: (2026)
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)
by: Xie, Bin, et al.
Published: (2025)
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
by: Zeng, Shuang, et al.
Published: (2025)
by: Zeng, Shuang, et al.
Published: (2025)
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)
by: Huang, Yuhao, et al.
Published: (2024)
MedicoSAM: Robust Improvement of SAM for Medical Imaging
by: Archit, Anwai, et al.
Published: (2025)
by: Archit, Anwai, et al.
Published: (2025)
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
by: Koleilat, Taha, et al.
Published: (2024)
by: Koleilat, Taha, et al.
Published: (2024)
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
by: Wu, Jianghao, et al.
Published: (2025)
by: Wu, Jianghao, et al.
Published: (2025)
SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
by: Yang, Yeqing, et al.
Published: (2025)
by: Yang, Yeqing, et al.
Published: (2025)
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)
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)
by: Rahman, Md Mostafijur, et al.
Published: (2024)
MedSAM3: Delving into Segment Anything with Medical Concepts
by: Liu, Anglin, et al.
Published: (2025)
by: Liu, Anglin, et al.
Published: (2025)
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
by: Zhou, Nan, et al.
Published: (2024)
by: Zhou, Nan, et al.
Published: (2024)
Assessing Foundational Medical 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE MRI
by: Mehrnia, Mehri, et al.
Published: (2024)
by: Mehrnia, Mehri, et al.
Published: (2024)
SSL-MedSAM2: A Semi-supervised Medical Image Segmentation Framework Powered by Few-shot Learning of SAM2
by: Gong, Zhendi, et al.
Published: (2025)
by: Gong, Zhendi, et al.
Published: (2025)
MedSAM2: Segment Anything in 3D Medical Images and Videos
by: Ma, Jun, et al.
Published: (2025)
by: Ma, Jun, et al.
Published: (2025)
DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
by: Zhang, Wenjie, et al.
Published: (2025)
by: Zhang, Wenjie, et al.
Published: (2025)
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
by: Ayzenberg, Lev, et al.
Published: (2024)
by: Ayzenberg, Lev, et al.
Published: (2024)
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
by: Long, Jiahuan, et al.
Published: (2025)
by: Long, Jiahuan, et al.
Published: (2025)
BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
by: Liu, Zelin, et al.
Published: (2025)
by: Liu, Zelin, et al.
Published: (2025)
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)
by: Wang, Jiayi, et al.
Published: (2025)
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
by: Wang, Jia, et al.
Published: (2025)
by: Wang, Jia, et al.
Published: (2025)
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
by: Liu, Shengyuan, et al.
Published: (2026)
by: Liu, Shengyuan, et al.
Published: (2026)
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
by: Huang, Shuangping, et al.
Published: (2024)
by: Huang, Shuangping, et al.
Published: (2024)
Medical Image Segmentation with SAM-generated Annotations
by: Häkkinen, Iira, et al.
Published: (2024)
by: Häkkinen, Iira, et al.
Published: (2024)
Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
by: Zhang, Ziqi, et al.
Published: (2025)
by: Zhang, Ziqi, et al.
Published: (2025)
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
by: Jiang, Chongcong, et al.
Published: (2026)
by: Jiang, Chongcong, et al.
Published: (2026)
MENDR: Manifold Explainable Neural Data Representations
by: Chen, Matthew, et al.
Published: (2025)
by: Chen, Matthew, et al.
Published: (2025)
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM
by: Mahla, Navyansh, et al.
Published: (2024)
by: Mahla, Navyansh, et al.
Published: (2024)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
by: Chen, Tianrun, et al.
Published: (2025)
by: Chen, Tianrun, et al.
Published: (2025)
Similar Items
-
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
by: Nnamdi, Micky C., et al.
Published: (2025) -
Tree-of-Evidence: Efficient "System 2" Search for Faithful Multimodal Grounding
by: Nnamdi, Micky C., et al.
Published: (2026) -
EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
by: Tamo, J. Ben, et al.
Published: (2026) -
RobustSAM: Segment Anything Robustly on Degraded Images
by: Chen, Wei-Ting, et al.
Published: (2024) -
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2023)