May 3, 2024 · The goal of this challenge was to promote the development of deep generative models (DGMs) for medical imaging and to emphasize the need for their domain- ...

This Challenge invites participants to develop or refine generative models that can accurately reproduce image statistics important and relevant to medical ...

May 3, 2024 · The goal of this challenge was to promote the development of deep generative models for medical imaging and to emphasize the need for their domain-relevant ...

Considering organizing a Challenge? A yearly call for Grand Challenge proposals is circulated to AAPM members in May.

Aug 4, 2024 · Purpose The goal of this challenge was to promote the development of deep generative models for medical imaging and to emphasize the need for ...

This repository contains the training dataset associated with the 2023 Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics (DGM- ...

Nov 14, 2023 · This repository contains the training dataset associated with the 2023 Grand Challenge on Deep Generative Modeling for Learning Medical ...

May 5, 2024 · The paper introduces the DGM-Image Statistics Challenge, a new benchmark for evaluating the performance of generative models on capturing the statistical ...

3 days ago · Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. Rucha Deshpande, Varun A. Kelkar ...

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. R Deshpande, VA Kelkar, D Gotsis, P Kc, R Zeng, KJ Myers, ...