30 citations · 67 across the 18 of their papers we have counts for
6 papers · 1 filter
Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery
Baoru Huang, Yicheng Hu, Anh Nguyen +2
In surgical oncology, it is challenging for surgeons to identify lymph nodes and completely resect cancer even with pre-operative imaging systems like PET and CT, because of the la…
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching
Jingxuan Kang, Tudor Jianu, Baoru Huang +4
Endovascular intervention training is increasingly being conducted in virtual simulators. However, transferring the experience from endovascular simulators to the real world remain…
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
Ziyang Wang, Tianze Li, Jian-Qing Zheng +1
Due to the lack of quality annotation in medical imaging community, semi-supervised learning methods are highly valued in image semantic segmentation tasks. In this paper, an advan…
Residual Aligner Network
Jian-Qing Zheng, Ziyang Wang, Baoru Huang +2
Image registration is important for medical imaging, the estimation of the spatial transformation between different images. Many previous studies have used learning-based methods f…
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Baoru Huang, Jianqing Zheng, Anh Nguyen +4
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo images pa…
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Ziyang Wang
Applying machine learning technologies, especially deep learning, into medical image segmentation is being widely studied because of its state-of-the-art performance and results. I…