no code implementations • 15 Sep 2023 • Yuda Bi, Anees Abrol, Jing Sui, Vince Calhoun
The cross-modal synthesis between structural magnetic resonance imaging (sMRI) and functional network connectivity (FNC) is a relatively unexplored area in medical imaging, especially with respect to schizophrenia.
no code implementations • 16 Mar 2023 • Yuda Bi
This research comprehensively analyzes the different deep-learning methods used for image-to-image translation and reconstruction in the natural and medical imaging domains.
no code implementations • 12 Nov 2022 • Yuda Bi, Anees Abrol, Zening Fu, Vince Calhoun
Vision Transformer (ViT) is a pioneering deep learning framework that can address real-world computer vision issues, such as image classification and object recognition.
no code implementations • 15 Sep 2022 • Yuda Bi, Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince Calhoun
Prior work has demonstrated that deep learning models that take advantage of the data's 3D structure can outperform standard machine learning on several learning tasks.