scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

H-vmunet: High-order Vision Mamba UNet for medical image segmentation.

Laparoscopic stereo matching using 3-Dimensional Fourier transform with full multi-scale features.

SK-VM++: Mamba assists skip-connections for medical image segmentation.

Automatic Segmentation of Hemorrhages in the Ultra-Wide Field Retina: Multi-Scale Attention Subtraction Networks and an Ultra-Wide Field Retinal Hemorrhage Dataset.

MHorUNet: High-order spatial interaction UNet for skin lesion segmentation.

HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation.

Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots.

UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation.

MCF-SMSIS: Multi-tasking with complementary functions for stereo matching and surgical instrument segmentation.

Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification.