STD-Net: a spatio-temporal decoupling network for multiphasic liver lesion segmentation and characterization - Top-Institutions - MDSpire

STD-Net: a spatio-temporal decoupling network for multiphasic liver lesion segmentation and characterization

By
Shaoliang Zhu
Mengjie Zou
Qijun Wu
Zheng Gong
Zhangnan Huang
Yan Zou
Tingting Tan
Yanwu You
Xiaofeng Dong
Honglin Luo
December 8, 2025
0 min

Npj Digital Medicine

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

#1

Massachusetts General Hospital

Boston, MA
Key Differentiators
- Radiology
- Oncology
- Biomedical Informatics
#2

Stanford University Medical Center

Stanford, CA
Key Differentiators
- Radiology
- Biomedical Engineering
- Oncology
#3

Johns Hopkins Hospital

Baltimore, MD
Key Differentiators
- Radiology
- Oncology
- Computer Science
#4

University of California, San Francisco (UCSF)

San Francisco, CA
Key Differentiators
- Radiology
- Hepatology
- Biomedical Informatics
#5

Mayo Clinic

Rochester, MN
Key Differentiators
- Radiology
- Oncology
- Medical Informatics

Original Source(s)

Npj Digital Medicine

STD-Net: a spatio-temporal decoupling network for multiphasic liver lesion segmentation and characterization

by Shaoliang Zhu, Mengjie Zou, Qijun Wu, Zheng Gong, Zhangnan Huang, Yan Zou, Tingting Tan, Yanwu You, Xiaofeng Dong, Honglin Luo
December 8, 2025

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