82 citations · 109 across the 8 of their papers we have counts for
9 papers
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation
Lei Shi, Xi Fang, Naiyu Wang +1
Automatic medical image segmentation plays a crucial role in computer aided diagnosis. However, fully supervised learning approaches often require extensive and labor-intensive ann…
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics
Shuai Yang, Zhifei Chen, Pengguang Chen +4
Defect inspection is paramount within the closed-loop manufacturing system. However, existing datasets for defect inspection often lack precision and semantic granularity required…
Soft-tissue Driven Craniomaxillofacial Surgical Planning
Xi Fang, Daeseung Kim, Xuanang Xu +8
In CMF surgery, the planning of bony movement to achieve a desired facial outcome is a challenging task. Current bone driven approaches focus on normalizing the bone with the expec…
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
Xi Fang, Daeseung Kim, Xuanang Xu +8
Simulating facial appearance change following bony movement is a critical step in orthognathic surgical planning for patients with jaw deformities. Conventional biomechanics-based…
KL-divergence Based Deep Learning for Discrete Time Model
Li Liu, Xiangeng Fang, Di Wang +2
Neural Network (Deep Learning) is a modern model in Artificial Intelligence and it has been exploited in Survival Analysis. Although several improvements have been shown by previou…
Integrative Analysis for COVID-19 Patient Outcome Prediction
Hanqing Chao, Xi Fang, Jiajin Zhang +13
While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome predictio…
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang, Pingkun Yan
Shortage of fully annotated datasets has been a limiting factor in developing deep learning based image segmentation algorithms and the problem becomes more pronounced in multi-org…
Unified Multi-scale Feature Abstraction for Medical Image Segmentation
Xi Fang, Bo Du, Sheng Xu +2
Automatic medical image segmentation, an essential component of medical image analysis, plays an importantrole in computer-aided diagnosis. For example, locating and segmenting the…
A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing
Zhao Peng, Xi Fang, Pingkun Yan +7
Purpose: This paper describes a new method to apply deep-learning algorithms for automatic segmentation of radiosensitive organs from 3D tomographic CT images before computing orga…