RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis
Lesion Segmentation

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation

27 February 2020

Hang Zhang

P. Spincemaille

Thanh D. Nguyen

Yi Wang

Papers citing "RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation"

5 / 5 papers shown

Title
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation A. Hung Haoxin Zheng Kai Zhao Xiaoxi Du Kaifeng Pang Qi Miao Steven S. Raman D. Terzopoulos Kyunghyun Sung 3DPC 36 4 0 08 Nov 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 47 7 0 19 Jan 2023
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review A. Shoeibi Marjane Khodatars M. Jafari Parisa Moridian Mitra Rezaei ... Juan M Gorriz Jónathan Heras M. Panahiazar S. Nahavandi U. Acharya 46 125 0 11 May 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods H. Zhang I. Oguz 30 14 0 12 Dec 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015