no code implementations • 4 Jan 2024 • Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I Sánchez, Keelin Murphy
To address this, we organized a public research challenge, NODE21, aimed at the detection and generation of lung nodules in chest X-rays.
no code implementations • 31 Oct 2023 • Di Xu, Qihui Lyu, Dan Ruan, Ke Sheng
Deep learning (DL) methods have shown promise to improve the MMD performance, but typical approaches of conducing DL-MMD in the image domain fail to fully utilize projection information or under iterative setup are computationally inefficient in both training and prediction.
no code implementations • 19 Sep 2023 • Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng
Dynamic magnetic resonance imaging (DMRI) is an effective imaging tool for diagnosis tasks that require motion tracking of a certain anatomy.
no code implementations • 19 Feb 2023 • Di Xu, Qifan Xu, Kevin Nhieu, Dan Ruan, Ke Sheng
Suppression of thoracic bone shadows on chest X-rays (CXRs) has been indicated to improve the diagnosis of pulmonary disease.
no code implementations • 15 Feb 2022 • Qifan Xu, Qihui Lyu, Dan Ruan, Ke Sheng
The Plug-and-Play (PnP) framework was recently introduced for low-dose CT reconstruction to leverage the interpretability and the flexibility of model-based methods to incorporate various plugins, such as trained deep learning (DL) neural networks.
no code implementations • 5 Jun 2019 • Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng
Motivated by the superior performance reported by renowned region based CNN, in the second stage, another 3D U-Net is trained on the candidate region generated in the first stage.
1 code implementation • 22 Jul 2017 • Ningning Zhao, Daniel O'Connor, Adrian Basarab, Dan Ruan, Peng Hu, Ke Sheng
This paper proposes a novel framework to reconstruct the dynamic magnetic resonance images (DMRI) with motion compensation (MC).