2 code implementations • 16 Nov 2023 • Ricardo Montoya-del-Angel, Karla Sam-Millan, Joan C Vilanova, Robert Martí
Additionally, we propose using stable diffusion models for the inpainting of synthetic lesions on healthy mammograms.
1 code implementation • 27 Jul 2023 • Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li
Existing federated methods under highly imbalanced datasets primarily focus on optimizing a global model without incorporating the intra-class variations that can arise in medical imaging due to different populations, findings, and scanners.
1 code implementation • 27 May 2023 • Marawan Elbatel, Robert Martí, Xiaomeng Li
Representational transfer from publicly available models is a promising technique for improving medical image classification, especially in long-tailed datasets with rare diseases.
no code implementations • 23 Feb 2018 • Joel Vidal, Chyi-Yeu Lin, Robert Martí
The Point Pair Feature (Drost et al. 2010) has been one of the most successful 6D pose estimation method among model-based approaches as an efficient, integrated and compromise alternative to the traditional local and global pipelines.
no code implementations • 11 Dec 2017 • Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó
We present an extensive literature review of CNN techniques applied in brain magnetic resonance imaging (MRI) analysis, focusing on the architectures, pre-processing, data-preparation and post-processing strategies available in these works.