Pengchen Liang

Orcid: 0000-0002-7475-373X

According to our database1, Pengchen Liang authored at least 14 papers between 2022 and 2025.

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Bibliography

2025
Divide and augment: Supervised domain adaptation via sample-wise feature fusion.
Inf. Fusion, 2025

H-vmunet: High-order Vision Mamba UNet for medical image segmentation.
Neurocomputing, 2025

Laparoscopic stereo matching using 3-Dimensional Fourier transform with full multi-scale features.
Eng. Appl. Artif. Intell., 2025

2024
Automatic Segmentation of Hemorrhages in the Ultra-Wide Field Retina: Multi-Scale Attention Subtraction Networks and an Ultra-Wide Field Retinal Hemorrhage Dataset.
IEEE J. Biomed. Health Informatics, December, 2024

DSCU-Net: MEMS Defect Detection Using Dense Skip-Connection U-Net.
Symmetry, March, 2024

MHorUNet: High-order spatial interaction UNet for skin lesion segmentation.
Biomed. Signal Process. Control., February, 2024

HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation.
Comput. Biol. Medicine, January, 2024

RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models.
Knowl. Based Syst., 2024

Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots.
CoRR, 2024

UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation.
CoRR, 2024

MCF-SMSIS: Multi-tasking with complementary functions for stereo matching and surgical instrument segmentation.
Comput. Biol. Medicine, 2024

2023
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification.
CoRR, 2023

2022
Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs.
BMC Bioinform., December, 2022

ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


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