Attend and Decode: 4D fMRI Task State Decoding Using Attention Models

10 April 2020

Papers citing "Attend and Decode: 4D fMRI Task State Decoding Using Attention Models"

5 / 5 papers shown

Title
SwiFT: Swin 4D fMRI Transformer P. Y. Kim Junbeom Kwon Sunghwan Joo Sang-Peel Bae Donggyu Lee Yoonho Jung Shinjae Yoo Jiook Cha Taesup Moon MedIm 40 22 0 12 Jul 2023
BolT: Fused Window Transformers for fMRI Time Series Analysis H. Bedel Irmak Sivgin Onat Dalmaz S. Dar Tolga Çukur 64 54 0 23 May 2022
Attention module improves both performance and interpretability of 4D fMRI decoding neural network Zhoufan Jiang Yanming Wang Chenwei Shi Yueyang Wu Rongjie Hu Shishuo Chen Sheng Hu Xiaoxiao Wang B. Qiu 14 2 0 03 Oct 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 44 129 0 27 May 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 373 10,639 0 19 Feb 2017