10 citations · 22 across the 11 of their papers we have counts for
11 papers
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis
Minghui Zhang, Chenyu Li, Fangfang Xie +8
Accurate anatomical labeling and analysis of the pulmonary structure and its surrounding anatomy from thoracic CT is getting increasingly important for understanding the etilogy of…
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
Junyang Wu, Fangfang Xie, Jiayuan Sun +2
Domain adaptation, which bridges the distributions across different modalities, plays a crucial role in multimodal medical image analysis. In endoscopic imaging, combining pre-oper…
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent, Roya Khajavi, Tagwa Idris +24
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentati…
Sim2Real within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images
Junyang Wu, Yun Gu, Guang-Zhong Yang
Robot assisted endoluminal intervention is an emerging technique for both benign and malignant luminal lesions. With vision-based navigation, when combined with pre-operative imagi…
CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection
Jiasheng Xu, Tianyi Zhang, Yangqian Wu +3
Endobronchial intervention is increasingly used as a minimally invasive means for the treatment of pulmonary diseases. In order to reduce the difficulty of manipulation in complex…
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…
Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition
Yuxuan Shu, Xiao Gu, Guang-Zhong Yang +1
The success of most advanced facial expression recognition works relies heavily on large-scale annotated datasets. However, it poses great challenges in acquiring clean and consist…
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation
Minghui Zhang, Guang-Zhong Yang, Yun Gu
Detailed pulmonary airway segmentation is a clinically important task for endobronchial intervention and treatment of peripheral located lung cancer lesions. Convolutional Neural N…
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Hanxiao Zhang, Xiao Gu, Minghui Zhang +6
The LIDC-IDRI database is the most popular benchmark for lung cancer prediction. However, with subjective assessment from radiologists, nodules in LIDC may have entirely different…
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Ruiyang Zhao, Zhao He, Tao Wang +8
Interventional magnetic resonance imaging (i-MRI) for surgical guidance could help visualize the interventional process such as deep brain stimulation (DBS), improving the surgery…
Faithful learning with sure data for lung nodule diagnosis
Hanxiao Zhang, Liang Chen, Xiao Gu +6
Recent evolution in deep learning has proven its value for CT-based lung nodule classification. Most current techniques are intrinsically black-box systems, suffering from two gene…