How to Fool Radiologists with Generative Adversarial Networks? A Visual
Turing Test for Lung Cancer Diagnosis

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How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

26 October 2017

Maria M. J. Chuquicusma

Sarfaraz Hussein

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Papers citing "How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis"

6 / 6 papers shown

Title
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction Andrew Zhang Hao Wang Shuchang Ye M. Fulham Jinman Kim MedIm 82 0 0 07 May 2025
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning Sarfaraz Hussein K. Cao Qi Song Ulas Bagci 47 158 0 28 Apr 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 108 2,230 0 17 Mar 2017
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process Sarfaraz Hussein R. Gillies K. Cao Qi Song Ulas Bagci 44 102 0 02 Mar 2017
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks Konstantinos Kamnitsas Christian F. Baumgartner C. Ledig Virginia Newcombe Joanna P. Simpson ... David Menon A. Nori A. Criminisi Daniel Rueckert Ben Glocker OOD MedIm 79 478 0 28 Dec 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 266 14,012 0 19 Nov 2015