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

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

12 October 2021

Hossein Aboutalebi

Alexander Wong

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

7 / 7 papers shown

Title
DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks Katarzyna Michalowska S. Goswami George Karniadakis S. Riemer-Sørensen AI4TS 34 1 0 03 Oct 2023
Study of Vision Transformers for Covid-19 Detection from Chest X-rays S. Angara S. Thirunagaru ViT MedIm 21 1 0 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 Jessy Song Ashkan Ebadi A. Florea Pengcheng Xi Stéphane Tremblay Alexander Wong 30 0 0 04 Jan 2023
Diagnosis of COVID-19 based on Chest Radiography Mei Gah Lim H. Lee 11 0 0 26 Dec 2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning Kai Ma Siyuan He Pengcheng Xi Ashkan Ebadi Stéphane Tremblay Alexander Wong MedIm 22 1 0 06 Dec 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics Maya Pavlova Tia Tuinstra Hossein Aboutalebi Andy Zhao Hayden Gunraj Alexander Wong 21 12 0 08 Jun 2022
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images Maya Pavlova Naomi Terhljan A. Chung Andy Zhao Siddharth Surana Hossein Aboutalebi Hayden Gunraj A. Sabri Amer Alaref Alexander Wong 25 46 0 14 May 2021