SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation

16 October 2023

Papers citing "SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation"

9 / 9 papers shown

Title
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods Tan-Hanh Pham Ovidiu C. Andronesi Xianqi Li Kim-Doang Nguyen 16 0 0 11 May 2025
Predicting Space Tourism Demand Using Explainable AI Tan-Hanh Pham Jingchen Bi Rodrigo Mesa-Arangom Kim-Doang Nguyen 50 0 0 05 Mar 2025
MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation Xiaoxian Yang Qi Wang Kaiqi Zhang Ke Wei Jun Lyu Lingchao Chen Mamba 32 0 0 13 Jan 2025
Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning Tan-Hanh Pham Godwyll Aikins Tri Truong Kim-Doang Nguyen 11 4 0 22 Sep 2024
Enhanced Droplet Analysis Using Generative Adversarial Networks Tan-Hanh Pham Kim-Doang Nguyen 25 2 0 24 Feb 2024
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 869 0 16 Feb 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015