Publications (6)
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration
Runshi Zhang, Hao Mo, Junchen Wang +4
Complicated image registration is a key issue in medical image analysis, and deep learning-based methods have achieved better results than traditional methods. The methods include…
TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network
Runshi Zhang, Bimeng Jie, Yang He +1
Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformations is significant. The tradit…
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos
Xiaoyang Zou, Wenyong Liu, Junchen Wang +2
Phase recognition plays an essential role for surgical workflow analysis in computer assisted intervention. Transformer, originally proposed for sequential data modeling in natural…
Tracking spatial temporal details in ultrasound long video via wavelet analysis and memory bank
Chenxiao Zhang, Runshi Zhang, Junchen Wang
Medical ultrasound videos are widely used for medical inspections, disease diagnosis and surgical planning. High-fidelity lesion area and target organ segmentation constitutes a ke…
Give me scissors: Collision-Free Dual-Arm Surgical Assistive Robot for Instrument Delivery
Xuejin Luo, Shiquan Sun, Runshi Zhang +2
During surgery, scrub nurses are required to frequently deliver surgical instruments to surgeons, which can lead to physical fatigue and decreased focus. Robotic scrub nurses provi…
A low dead time, resource efficient encoding method for FPGA based high-resolution TDL TDCs
Wenhao Dong, Changqing Feng, Junchen Wang +3
This paper presents a novel encoding method for fine time data of a tapped delay line (TDL) time-to-digital Converter (TDC). It is based on divide-and-conquer strategy, and has the…