Knowledge-based in silico models and dataset for the comparative
evaluation of mammography AI for a range of breast characteristics, lesion
conspicuities and doses

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

27 October 2023

Niloufar Saharkhiz

Jana G. Delfino

ArXiv (abs)PDF HTML

Papers citing "Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses"

14 / 14 papers shown

Title
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 53 11 0 20 Jan 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 283 1,232 0 10 Sep 2022
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction Elena Sizikova Xu Cao A. Lewis K. Moise Megan Coffee 75 3 0 23 Aug 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,103 0 01 Mar 2022
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio GAN MedIm 94 17 0 27 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 81 42 0 07 Jun 2021
GANs for Medical Image Synthesis: An Empirical Study Youssef Skandarani Pierre-Marc Jodoin A. Lalande MedIm 46 182 0 11 May 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang Ava Pun James Tu S. Manivasagam Abbas Sadat Sergio Casas Mengye Ren R. Urtasun 79 168 0 16 Jan 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 663 18,276 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 455 10,591 0 17 Feb 2020
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 97 1,871 0 02 Jan 2018
Adversarial Attacks Beyond the Image Space Fangyin Wei Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu-Wing Tai Chi-Keung Tang Alan Yuille AAML 83 149 0 20 Nov 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 72 418 0 18 Jul 2017
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015

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