Correlation via synthesis: end-to-end nodule image generation and
radiogenomic map learning based on generative adversarial network

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

8 July 2019

Ziyue Xu

Xiaosong Wang

Fausto Milletari

Papers citing "Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network"

4 / 4 papers shown

Title
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19 Siqi Liu Bogdan Georgescu Zhoubing Xu Y. Yoo G. Chabin ... Brian Teixeira A. Balachandran R. Vishwanath Thomas J. Re Dorin Comaniciu 41 18 0 05 May 2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems Changhee Han L. Rundo K. Murao T. Nemoto Hideki Nakayama MedIm 30 27 0 12 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 297 10,368 0 12 Dec 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 57 185 0 11 Jun 2018