Similar Items
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023)
by: Xu, Jing
Published: (2023)
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)
by: Xu, Jiashu
Published: (2024)
ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation
by: Sun, Hongkun, et al.
Published: (2024)
by: Sun, Hongkun, et al.
Published: (2024)
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)
by: Wang, Zhongxuan, et al.
Published: (2024)
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
by: Liu, Zihang, et al.
Published: (2022)
by: Liu, Zihang, et al.
Published: (2022)
Optimizing Medical Image Segmentation with Advanced Decoder Design
by: Yang, Weibin, et al.
Published: (2024)
by: Yang, Weibin, et al.
Published: (2024)
Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)
by: Ma, Jun, et al.
Published: (2023)
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
by: Sengupta, Sourya, et al.
Published: (2025)
by: Sengupta, Sourya, et al.
Published: (2025)
Generative Medical Segmentation
by: Huo, Jiayu, et al.
Published: (2024)
by: Huo, Jiayu, et al.
Published: (2024)
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation
by: Syahmi, Amir, et al.
Published: (2024)
by: Syahmi, Amir, et al.
Published: (2024)
Conformal Lesion Segmentation for 3D Medical Images
by: Tan, Binyu, et al.
Published: (2025)
by: Tan, Binyu, et al.
Published: (2025)
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
by: Li, Chenxin, et al.
Published: (2024)
by: Li, Chenxin, et al.
Published: (2024)
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)
by: Xu, Jiashu
Published: (2024)
Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)
by: Liua, Zhaoshan, et al.
Published: (2024)
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)
by: Javed, Syed, et al.
Published: (2024)
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
by: Zhang, Li, et al.
Published: (2024)
by: Zhang, Li, et al.
Published: (2024)
Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
by: Bonazzi, Pietro, et al.
Published: (2023)
by: Bonazzi, Pietro, et al.
Published: (2023)
HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)
by: Xu, Qing, et al.
Published: (2025)
Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
by: Xu, Guoping, et al.
Published: (2026)
by: Xu, Guoping, et al.
Published: (2026)
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
by: Jiang, Yufeng, et al.
Published: (2024)
by: Jiang, Yufeng, et al.
Published: (2024)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)
by: Zhu, Guanghao, et al.
Published: (2024)
Large-Vocabulary Segmentation for Medical Images with Text Prompts
by: Zhao, Ziheng, et al.
Published: (2023)
by: Zhao, Ziheng, et al.
Published: (2023)
Learnable Weight Initialization for Volumetric Medical Image Segmentation
by: Kunhimon, Shahina, et al.
Published: (2023)
by: Kunhimon, Shahina, et al.
Published: (2023)
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Color-Quality Invariance for Robust Medical Image Segmentation
by: Shah, Ravi, et al.
Published: (2025)
by: Shah, Ravi, et al.
Published: (2025)
Medical Image Segmentation Using Directional Window Attention
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2024)
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2024)
Structure Unbiased Adversarial Model for Medical Image Segmentation
by: Zhang, Tianyang, et al.
Published: (2022)
by: Zhang, Tianyang, et al.
Published: (2022)
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
by: Rakic, Marianne, et al.
Published: (2024)
by: Rakic, Marianne, et al.
Published: (2024)
Deconver: A Deconvolutional Network for Medical Image Segmentation
by: Ashtari, Pooya, et al.
Published: (2025)
by: Ashtari, Pooya, et al.
Published: (2025)
Scribble-Based Interactive Segmentation of Medical Hyperspectral Images
by: Wang, Zhonghao, et al.
Published: (2024)
by: Wang, Zhonghao, et al.
Published: (2024)
Segment Anything in Medical Images and Videos: Benchmark and Deployment
by: Ma, Jun, et al.
Published: (2024)
by: Ma, Jun, et al.
Published: (2024)
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
by: Lin, Haoneng, et al.
Published: (2025)
by: Lin, Haoneng, et al.
Published: (2025)
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
by: Bougourzi, Fares, et al.
Published: (2024)
by: Bougourzi, Fares, et al.
Published: (2024)
Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation
by: Jiang, Mingzhou, et al.
Published: (2024)
by: Jiang, Mingzhou, et al.
Published: (2024)
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
by: Zhao, Haoyu, et al.
Published: (2024)
by: Zhao, Haoyu, et al.
Published: (2024)
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)
by: Zhou, Feng, et al.
Published: (2024)
Similar Items
-
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023) -
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024) -
ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation
by: Sun, Hongkun, et al.
Published: (2024) -
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023) -
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)