11 citations · 14 across the 10 of their papers we have counts for
7 papers · 1 filter
NeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation
Shihan Zhao, Jianru Zhang, Yanan Wu +6
Fluorescence Molecular Tomography (FMT) is a promising technique for non-invasive 3D visualization of fluorescent probes, but its reconstruction remains challenging due to the inhe…
A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
Shuiqing Zhao, Meihuan Wang, Jiaxuan Xu +6
Background: It is fundamental for accurate segmentation and quantification of the pulmonary vessel, particularly smaller vessels, from computed tomography (CT) images in chronic ob…
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis
Yanguang Zhao, Long Bai, Zhaoxi Zhang +3
Glioma, a common and deadly brain tumor, requires early diagnosis for improved prognosis. However, low-quality Magnetic Resonance Imaging (MRI) technology in Sub-Saharan Africa (SS…
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Tianhang Liu, Hechen Li, Long Bai +4
Robot-assisted airway intubation application needs high accuracy in locating targets and organs. Two vital landmarks, nostrils and glottis, can be detected during the intubation to…
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
Long Bai, Tong Chen, Yanan Wu +3
Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnostic tool for gastrointestinal (GI) diseases. However, due to GI anatomical constraints and hardware manufactu…
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Minghui Zhang, Yangqian Wu, Hanxiao Zhang +33
Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach o…
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Yanan Wu, Shuiqing Zhao, Shouliang Qi +8
Accurate airway extraction from computed tomography (CT) images is a critical step for planning navigation bronchoscopy and quantitative assessment of airway-related chronic obstru…