output
20192025
most citedFully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks

91 citations

12 papers

q-bio.OT2025★ 2 cited

Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins

Marc Ryhiner, Yangmeihui Song, Babak Saboury +3

This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…

cs.CV2025

Endoscopic Depth Estimation Based on Deep Learning: A Survey

Ke Niu, Zeyun Liu, Xue Feng +5

Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…

cond-mat.soft2025★ 9 cited

Electroactive differential growth and delayed instability in accelerated healing tissues

Yafei Wang, Zhanfeng Li, Xingmei Chen +9

Guided by experiments contrasting electrically accelerated recovery with natural healing, this study formulates a model to investigate the importance of electroactive differential…

eess.IV2023★ 72 cited

Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks

Xin Yang, Yi Lin, Zhiwei Wang +2

In this paper, we propose a bi-modality medical image synthesis approach based on sequential generative adversarial network (GAN) and semi-supervised learning. Our approach consist…

eess.IV2023★ 21 cited

Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History

Bo Yu, Hechang Chen, Chengyou Jia +5

Raman spectroscopy (RS) has been widely used for disease diagnosis, e.g., cardiovascular disease (CVD), owing to its efficiency and component-specific testing capabilities. A serie…

cs.CV2023★ 7 cited

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

Bo Yu, Hechang Chen, Yunke Zhang +5

Artificial intelligence-enabled histopathological data analysis has become a valuable assistant to the pathologist. However, existing models lack representation and inference abili…