Zongfang Li

According to our database, Zongfang Li authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation.

Duwei Dai, Caixia Dong, Qingsen Yan, Yongheng Sun, Chunyan Zhang, Zongfang Li, Songhua Xu

Medical Image Anal., 2024

A novel deep network with triangular-star spatial-spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation.

Caixia Dong, Duwei Dai, Zongfang Li, Songhua Xu

Inf. Fusion, 2024

2023

Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis.

Duwei Dai, Yongheng Sun, Caixia Dong, Qingsen Yan, Zongfang Li, Songhua Xu

Expert Syst. Appl., November, 2023

3D Medical image segmentation using parallel transformers.

Qingsen Yan, Shengqiang Liu, Songhua Xu, Caixia Dong, Zongfang Li, Javen Qinfeng Shi, Yanning Zhang, Duwei Dai

Pattern Recognit., June, 2023

A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation.

Caixia Dong, Songhua Xu, Duwei Dai, Yizhi Zhang, Chunyan Zhang, Zongfang Li

Medical Image Anal., April, 2023

Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification.

Caixia Dong, Duwei Dai, Yizhi Zhang, Chunyan Zhang, Zongfang Li, Songhua Xu

Comput. Biol. Medicine, 2023

2022

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.

Duwei Dai, Caixia Dong, Songhua Xu, Qingsen Yan, Zongfang Li, Chunyan Zhang, Nana Luo

Medical Image Anal., 2022

2020

ST-Net: Synthetic ECG tracings for diagnosing various cardiovascular diseases.

Yu Deng, Zhongquan Gao, Songhua Xu, Pengyu Ren, Yang Wen, Ying Mao, Zongfang Li

Biomed. Signal Process. Control., 2020

PanelNet: A Novel Deep Neural Network for Predicting Collective Diagnostic Ratings by a Panel of Radiologists for Pulmonary Nodules.

Chunyan Zhang, Songhua Xu, Zongfang Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020