Huiling Lu

According to our database, Huiling Lu authored at least 23 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Vision transformer: To discover the "four secrets" of image patches.

Tao Zhou, Yuxia Niu, Huiling Lu, Caiyue Peng, Yujie Guo, Huiyu Zhou

Inf. Fusion, May, 2024

M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection.

Tao Zhou, Hongwei Wang, Yuhu Du, Fengzhen Liu, Yujie Guo, Huiling Lu

Comput. Biol. Medicine, 2024

UCP2-ACGAN: An adaptive condition GAN guided by U-shaped context perceptual processor for PET/CT images fusion.

Tao Zhou, Qi Li, Huiling Lu, Long Liu, Xiangxiang Zhang

Biomed. Signal Process. Control., 2024

2023

GMRE-iUnet: Isomorphic Unet fusion model for PET and CT lung tumor images.

Tao Zhou, Xiangxiang Zhang, Huiling Lu, Qi Li, Long Liu, Huiyu Zhou

Comput. Biol. Medicine, November, 2023

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model.

Tao Zhou, Fengzhen Liu, Xinyu Ye, Hongwei Wang, Huiling Lu

Comput. Biol. Medicine, October, 2023

Deep learning methods for medical image fusion: A review.

Tao Zhou, Qianru Cheng, Huiling Lu, Qi Li, XiangXiang Zhang, Shi Qiu

Comput. Biol. Medicine, June, 2023

Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors.

Tao Zhou, Shan Liu, Huiling Lu, Jing Bai, Lijia Zhi, Shi Qiu

Comput. Methods Programs Biomed., April, 2023

GAN review: Models and medical image fusion applications.

Tao Zhou, Qi Li, Huiling Lu, Qianru Cheng, Xiangxiang Zhang

Inf. Fusion, 2023

Teeth U-Net: A segmentation model of dental panoramic X-ray images for context semantics and contrast enhancement.

Senbao Hou, Tao Zhou, Yuncan Liu, Pei Dang, Huiling Lu, Hongbin Shi

Comput. Biol. Medicine, 2023

2021

The ensemble deep learning model for novel COVID-19 on CT images.

Tao Zhou, Huiling Lu, Zaoli Yang, Shi Qiu, Bingqiang Huo, Yali Dong

Appl. Soft Comput., 2021

2019

GA-SVM based feature selection and parameter optimization in hospitalization expense modeling.

Tao Zhou, Huiling Lu, Wenwen Wang, Yong Xia

Appl. Soft Comput., 2019

2017

CAD Model Based on NN and PCA in Prostate Tumor MRI.

Huiling Lu, Tao Zhou, Hongbin Shi

Proceedings of the Intelligence Science and Big Data Engineering, 2017

Analysis of film data based on Neo4j.

Huiling Lu, Zhiguo Hong, Minyong Shi

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016

Predictive Model Based on the Evidence Theory for Assessing Critical Micelle Concentration Property.

Ahmed Samet, Théophile Gaudin, Huiling Lu, Anne Wadouachi, Gwladys Pourceau, Elisabeth Van Hecke, Isabelle Pezron, Karim El Kirat, Tien-Tuan Dao

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

2015

A Self-adaption Fusion Algorithm of PET/CT Based on DTCWT and Combination Membership Function.

Tao Zhou, Xingyu Wei, Huiling Lu, Pengfei Yang

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2013

Multi-features prostate tumor aided diagnoses based on ensemble-svm.

Tao Zhou, Huiling Lu

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012

A new classification algorithm based on ensemble PSO_SVM and clustering analysis.

Tao Zhou, Huiling Lu, Lihua Liu, Longquan Yong, Shouheng Tuo

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011

Rough Kernel Clustering Algorithm with Adaptive Parameters.

Tao Zhou, Huiling Lu, Deren Yang, Jingxian Ma, Shouheng Tuo

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2008

Rough Cluster Algorithm Based on Kernel Function.

Tao Zhou, Yanning Zhang, Huiling Lu, Fang'an Deng, Fengxiao Wang

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

2007

A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis.

Cuiru Wang, Hejin Yuan, Jun Liu, Tao Zhou, Huiling Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Multi-stage Competitive Neural Networks Approach for Motion Trajectory Pattern Learning.

Hejin Yuan, Yanning Zhang, Tao Zhou, Fang'an Deng, Xiuxiu Li, Huiling Lu

Proceedings of the Advances in Neural Networks, 2007

A Novel High Level Synthesis Approach.

Haijun Li, Yanhong Jia, Tao Zhou, Huiling Lu

Proceedings of the 10th International Conference on Computer-Aided Design and Computer Graphics, 2007

2006

Temporal Rough Neural Network.

Tao Zhou, Fang'an Deng, Huiling Lu, Wenbin Zhao, Fuzeng Yang

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006