no code implementations • 12 Jan 2024 • Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L Tran, Peter D Canoll, Kristin R Swanson, Jing Li
Cancer remains one of the most challenging diseases to treat in the medical field.
no code implementations • 30 Dec 2023 • Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugała, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li
The model was trained to predict the regional genetic alteration of three GBM driver genes (EGFR, PDGFRA, and PTEN) based on features extracted from the corresponding region of five MRI contrast images.
no code implementations • 15 Dec 2023 • Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li
This situation is quite common in health care datasets due to limitations of the diagnostic instrument, sparse clinical visits, or/and patient dropout.
1 code implementation • 3 Nov 2022 • Joshua Bruton, Hairong Wang
The effective receptive field of a fully convolutional neural network is an important consideration when designing an architecture, as it defines the portion of the input visible to each convolutional kernel.
no code implementations • 13 Oct 2022 • Mufhumudzi Muthivhi, Terence L. Van Zyl, Hairong Wang
Context-aware recommendation systems improve upon classical recommender systems by including, in the modelling, a user's behaviour.
1 code implementation • 2 Feb 2022 • Joshua Bruton, Hairong Wang
Dictionary learning and sparse coding have been widely studied as mechanisms for unsupervised feature learning.
no code implementations • 28 Feb 2020 • Licheng Xiao, Hairong Wang, Nam Ling
In this paper, we build autoencoder based pipelines for extreme end-to-end image compression based on Ball\'e's approach, which is the state-of-the-art open source implementation in image compression using deep learning.