Learning stochastic object models from medical imaging measurements by
use of advanced ambient generative adversarial networks

Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

27 June 2021

Sayantan Bhadra

Papers citing "Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks"

10 / 10 papers shown

Title
Synthetic Data in Radiological Imaging: Current State and Future Outlook E. Sizikova A. Badal Jana G. Delfino Miguel Lago Brandon Nelson Niloufar Saharkhiz B. Sahiner Ghada Zamzmi Aldo Badano MedIm 42 5 0 08 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics Rucha Deshpande Varun A. Kelkar Dimitrios S. Gotsis Prabhat Kc Rongping Zeng Kyle J. Myers F. Brooks M. Anastasio MedIm 21 4 0 03 May 2024
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data Wentao Chen Xichen Xu Jie Luo Weimin Zhou MedIm 19 3 0 02 Feb 2024
AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements Xichen Xu Wentao Chen Weimin Zhou MedIm DiffM 16 2 0 02 Feb 2024
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses E. Sizikova Niloufar Saharkhiz D. Sharma Miguel Lago B. Sahiner Jana G. Delfino Aldo Badano 22 4 0 27 Oct 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 35 6 0 09 Sep 2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks Weimin Zhou Umberto Villa M. Anastasio 22 7 0 02 Apr 2023
The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts Aldo Badano Miguel Lago E. Sizikova JG Delfino S. Guan M. Anastasio B. Sahiner 27 11 0 20 Jan 2023
Assessing the ability of generative adversarial networks to learn canonical medical image statistics Varun A. Kelkar Dimitrios S. Gotsis F. Brooks K. Prabhat Kyle J. Myers R. Zeng M. Anastasio MedIm GAN LM&MA 18 25 0 26 Apr 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018