26 citations · 53 across the 28 of their papers we have counts for
5 papers · 1 filter
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…
Topology-Aware Exploration of Circle of Willis for CTA and MRA: Segmentation, Detection, and Classification
Minghui Zhang, Xin You, Hanxiao Zhang +1
The Circle of Willis (CoW) vessels is critical to connecting major circulations of the brain. The topology of the vascular structure is clinical significance to evaluate the risk,…
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Chenyu Li, Minghui Zhang, Chuyan Zhang +1
Accurate airway anatomical labeling is crucial for clinicians to identify and navigate complex bronchial structures during bronchoscopy. Automatic airway anatomical labeling is cha…
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…
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
Xin You, Yixin Lou, Minghui Zhang +2
Automatic and precise multi-class vertebrae segmentation from CT images is crucial for various clinical applications. However, due to similar appearances between adjacent vertebrae…