MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis

Frontiers in Medicine (Front. Med.), 2021

12 October 2021

Alexander Wong

Papers citing "MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis"

7 / 7 papers shown

DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks

Katarzyna Michalowska

231

03 Oct 2023

Study of Vision Transformers for Covid-19 Detection from Chest X-rays

S. Angara

S. Thirunagaru

ViT MedIm

154

17 Jul 2023

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images

Pengcheng Xi

Alexander Wong

161

04 Jan 2023

Diagnosis of COVID-19 based on Chest Radiography

Mei Gah Lim

H. Lee

26 Dec 2022

A Trustworthy Framework for Medical Image Analysis with Deep Learning

Pengcheng Xi

Alexander Wong

148

06 Dec 2022

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics

Alexander Wong

215

08 Jun 2022

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray ImagesFrontiers in Medicine (Front. Med.), 2021

Alexander Wong

155

14 May 2021