1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Artificial intelligence for diagnosing and predicting survival of patients with renal cell carcinoma: Retrospective multi-center study
Siteng Chen, Xiyue Wang, Jun Zhang +8
Background: Clear cell renal cell carcinoma (ccRCC) is the most common renal-related tumor with high heterogeneity. There is still an urgent need for novel diagnostic and prognosti…
A Deep Learning Framework for Nuclear Segmentation and Classification in Histopathological Images
Sen Yang, Jinxi Xiang, Xiyue Wang
Nucleus segmentation and classification are the prerequisites in the workflow of digital pathology processing. However, it is very challenging due to its high-level heterogeneity a…
MMV-Net: A Multiple Measurement Vector Network for Multi-frequency Electrical Impedance Tomography
Zhou Chen, Jinxi Xiang, Pierre Bagnaninchi +1
Multi-frequency Electrical Impedance Tomography (mfEIT) is an emerging biomedical imaging modality to reveal frequency-dependent conductivity distributions in biomedical applicatio…
FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
Inverse problems are essential to imaging applications. In this paper, we propose a model-based deep learning network, named FISTA-Net, by combining the merits of interpretability…