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

91 citations

10 papers

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…

physics.med-ph2025★ 3 cited

3D Single-shot CEST imaging at 3T Based on True FISP Readout

Yupeng Wu, Qifan Pang, Zhichao Wang +9

To simultaneously fit multiple-pool effects, spectrally selective 3D CEST imaging typically requires single-shot readouts to save time. However, to date, FLASH and EPI have been th…

eess.IV2024

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

Ruige Zong, Tao Wang, Chunwang Li +8

Familial cerebral cavernous malformation (FCCM) is a hereditary disorder characterized by abnormal vascular structures within the central nervous system. The FCCM lesions are often…

q-bio.PE2022★ 5 cited

An age-structured epidemic model with vaccination

Ruiyang Zhou, Fengying Wei

In this article, we construct an age-structured model for COVID-19 with vaccination and analyze it from multiple perspectives. We derive the unique disease-free equilibrium point a…

eess.IV2021★ 30 cited

Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation

Shaohua Zheng, Zhiqiang Shen, Chenhao Peia +6

Background and Objective:Computer-aided diagnosis (CAD) systems promote diagnosis effectiveness and alleviate pressure of radiologists. A CAD system for lung cancer diagnosis inclu…

cs.NI2020★ 4 cited

Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT

Guofa Cai, Yi Fang, Pingping Chen +3

Code index modulated multi-carrier M-ary differential chaos shift keying (CIM-MC-M-DCSK) system not only inherits low-power and low-complexity advantages of the conventional DCSK s…

eess.IV2019★ 91 cited

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks

Yuhua Chen, Dan Ruan, Jiayu Xiao +6

Segmentation of multiple organs-at-risk (OARs) is essential for radiation therapy treatment planning and other clinical applications. We developed an Automated deep Learning-based…

cs.LG2019★ 81 cited

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Yi Zhong, Xueyu Chen, Yu Zhao +3

We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks. And this is implemented by combining graph CNN with an…

eess.IV2019★ 13 cited

Stain Style Transfer using Transitive Adversarial Networks

Shaojin Cai, Yuyang Xue3 Qinquan Gao, Min Du +3

Digitized pathological diagnosis has been in increasing demand recently. It is well known that color information is critical to the automatic and visual analysis of pathological sl…

eess.IV2019★ 52 cited

pISTA-SENSE-ResNet for Parallel MRI Reconstruction

Tieyuan Lu, Xinlin Zhang, Yihui Huang +6

Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time. Although imaging can be accelerated by sparse sampl…