A Trustworthy Framework for Medical Image Analysis with Deep Learning

A Trustworthy Framework for Medical Image Analysis with Deep Learning

6 December 2022

Pengcheng Xi

Stéphane Tremblay

Alexander Wong

Papers citing "A Trustworthy Framework for Medical Image Analysis with Deep Learning"

5 / 5 papers shown

Title
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review Hazrat Ali Zubair Shah MedIm 10 16 0 15 May 2022
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications Siyuan He Pengcheng Xi Ashkan Ebadi Stéphane Tremblay Alexander Wong OOD 33 6 0 14 Dec 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis Hossein Aboutalebi Maya Pavlova Hayden Gunraj M. Shafiee A. Sabri Amer Alaref Alexander Wong 20 17 0 12 Oct 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 128 64 0 13 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016