Zongfang Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Lesion Segmentation

Image Segmentation

Coronary Artery

Top Venues

Medical Image Anal.

Pattern Recognit.

Biomed. Signal Process. Control.

Publications

Duwei Dai, Caixia Dong, Qingsen Yan, Yongheng Sun, Chunyan Zhang, Zongfang Li, Songhua Xu
I2U-Net: A dual-path U-Net with rich information interaction for medical image segmentation. Medical Image Anal. 97 (2024)
Caixia Dong, Duwei Dai, Zongfang Li, Songhua Xu
A novel deep network with triangular-star spatial-spectral fusion encoding and entropy-aware double decoding for coronary artery segmentation. Inf. Fusion 112 (2024)
Caixia Dong, Songhua Xu, Duwei Dai, Yizhi Zhang, Chunyan Zhang, Zongfang Li
A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation. Medical Image Anal. 85 (2023)
Qingsen Yan, Shengqiang Liu, Songhua Xu, Caixia Dong, Zongfang Li, Javen Qinfeng Shi, Yanning Zhang, Duwei Dai
3D Medical image segmentation using parallel transformers. Pattern Recognit. 138 (2023)
Duwei Dai, Yongheng Sun, Caixia Dong, Qingsen Yan, Zongfang Li, Songhua Xu
Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis. Expert Syst. Appl. 230 (2023)
Caixia Dong, Duwei Dai, Yizhi Zhang, Chunyan Zhang, Zongfang Li, Songhua Xu
Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification. Comput. Biol. Medicine 152 (2023)
Duwei Dai, Caixia Dong, Songhua Xu, Qingsen Yan, Zongfang Li, Chunyan Zhang, Nana Luo
Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation. Medical Image Anal. 75 (2022)
Yu Deng, Zhongquan Gao, Songhua Xu, Pengyu Ren, Yang Wen, Ying Mao, Zongfang Li
ST-Net: Synthetic ECG tracings for diagnosing various cardiovascular diseases. Biomed. Signal Process. Control. 61 (2020)
Chunyan Zhang, Songhua Xu, Zongfang Li
PanelNet: A Novel Deep Neural Network for Predicting Collective Diagnostic Ratings by a Panel of Radiologists for Pulmonary Nodules. ACM Multimedia (2020)