research
∙
08/09/2023
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives
A Point Distribution Model (PDM) is the basis of a Statistical Shape Mod...
share
research
∙
12/12/2020
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation
Gross tumor volume (GTV) delineation on tomography medical imaging is cr...
research
∙
08/29/2020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Determining the spread of GTV_LN is essential in defining the respective...
research
∙
08/27/2020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Finding, identifying and segmenting suspicious cancer metastasized lymph...
research
∙
05/27/2020
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification
Finding and identifying scatteredly-distributed, small, and critically i...
research
∙
04/17/2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
OAR segmentation is a critical step in radiotherapy of head and neck (H ...
research
∙
04/05/2019
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network
Tomography medical imaging is essential in the clinical workflow of mode...
research
∙
06/04/2018