no code implementations • 6 Jul 2023 • Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang, Jun Gong
In this study, a reconstruction-based method using the noise-to-norm paradigm is proposed, which avoids the invariant reconstruction of anomalous regions.
1 code implementation • 26 Mar 2019 • Stephen Baek, Yusen He, Bryan G. Allen, John M. Buatti, Brian J. Smith, Ling Tong, Zhiyu Sun, Jia Wu, Maximilian Diehn, Billy W. Loo, Kristin A. Plichta, Steven N. Seyedin, Maggie Gannon, Katherine R. Cabel, Yusung Kim, Xiaodong Wu
Here we show that CNN trained to perform the tumor segmentation task, with no other information than physician contours, identify a rich set of survival-related image features with remarkable prognostic value.
1 code implementation • 3 Dec 2018 • Zhiyu Sun, Ethan Rooke, Jerome Charton, Yusen He, Jia Lu, Stephen Baek
In this paper, we propose a novel formulation to extend CNNs to two-dimensional (2D) manifolds using orthogonal basis functions, called Zernike polynomials.
no code implementations • 20 Jun 2018 • Zhiyu Sun, Jia Lu, Stephen Baek
The problem is well-known to be of a paramount clinical importance, but yet, traditional ConvNets cannot be applied due to the manifold structure of the data, neither does the state-of-the-art geometric ConvNets perform well.
no code implementations • 17 Oct 2017 • Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
In this paper, it is proposed a method to improve the similarity metric of spectral descriptors for correspondence matching problems.