| A Minimally Interactive Method for Labeling Respiratory Phases in Free-Breathing Thoracic Dynamic MRI for Constructing 4D Images | 0 | 0.34 | 2022 |
| Segmentation Of 4d Images Via Space-Time Neural Networks | 0 | 0.34 | 2020 |
| Automatic Labeling Of Respiratory Phases And Detection Of Abnormal Respiratory Signals In Free-Breathing Thoracic Dynamic Mr Image Acquisitions Based On Deep Learning | 0 | 0.34 | 2020 |
| Obtaining The Potential Number Of Object Models/Atlases Needed In Medical Image Analysis | 0 | 0.34 | 2020 |
| Anatomy Segmentation Evaluation With Sparse Ground Truth Data | 0 | 0.34 | 2020 |
| Localization And Segmentation Of Optimal Slices For Chest Fat Quantification In Ct Via Deep Learning | 0 | 0.34 | 2020 |
| LinSEM: Linearizing segmentation evaluation metrics for medical images. | 0 | 0.34 | 2020 |
| Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction. | 0 | 0.34 | 2019 |
| Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. | 0 | 0.34 | 2019 |
| Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning. | 0 | 0.34 | 2019 |
| Disease quantification on PET/CT images without explicit object delineation. | 2 | 0.36 | 2019 |
| Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks. | 0 | 0.34 | 2018 |
| Image quality and segmentation. | 0 | 0.34 | 2018 |
| Quantitative dynamic MRI (QdMRI) Volumetric Analysis of Pediatric Patients with Thoracic Insufficiency Syndrome. | 0 | 0.34 | 2018 |
| Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images. | 0 | 0.34 | 2018 |
| Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach. | 0 | 0.34 | 2018 |
| Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention. | 0 | 0.34 | 2018 |
| Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome. | 0 | 0.34 | 2018 |
| Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach. | 0 | 0.34 | 2018 |
| Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning. | 1 | 0.43 | 2018 |
| Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy. | 0 | 0.34 | 2018 |
| Disease quantification on PET/CT images without object delineation | 1 | 0.35 | 2017 |
| Virtual landmarks. | 0 | 0.34 | 2017 |
| Automatic thoracic body region localization. | 0 | 0.34 | 2017 |
| Interactive iterative relative fuzzy connectedness lung segmentation on thoracic 4D dynamic MR images. | 1 | 0.35 | 2017 |
| Automatic anatomy recognition on CT images with pathology. | 0 | 0.34 | 2016 |
| Quantitative normal thoracic anatomy at CT. | 1 | 0.36 | 2016 |
| Lymph node detection in IASLC-defined zones on PET/CT images. | 0 | 0.34 | 2016 |
| Fat segmentation on chest CT images via fuzzy models. | 0 | 0.34 | 2016 |
| Definition and automatic anatomy recognition of lymph node zones in the pelvis on CT images | 0 | 0.34 | 2016 |
| Optimal atlas construction through hierarchical image registration. | 0 | 0.34 | 2016 |
| A general approach to liver lesion segmentation in CT images. | 0 | 0.34 | 2016 |
| Fat quantification and analysis of lung transplant patients on unenhanced chest CT images based on standardized anatomic space | 0 | 0.34 | 2016 |
| Body-wide anatomy recognition in PET/CT images | 1 | 0.37 | 2015 |
| MR image analytics to characterize upper airway architecture in children with OSAS | 0 | 0.34 | 2015 |
| Automatic anatomy recognition of sparse objects | 0 | 0.34 | 2015 |
| Interactive non-uniformity correction and intensity standardization of MR images | 2 | 0.40 | 2015 |
| Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition | 1 | 0.35 | 2014 |
| Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models | 0 | 0.34 | 2014 |
| Standardized anatomic space for abdominal fat quantification | 0 | 0.34 | 2014 |
| Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration | 2 | 0.41 | 2014 |
| Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images. | 21 | 2.30 | 2014 |
| Fuzzy model-based body-wide anatomy recognition in medical images | 4 | 0.48 | 2013 |
| GC-ASM: Synergistic Integration of Graph-Cut and Active Shape Model Strategies for Medical Image Segmentation. | 11 | 0.57 | 2013 |
| Automatic anatomy recognition via fuzzy object models | 11 | 1.05 | 2012 |
| Fuzzy object modeling | 11 | 1.10 | 2011 |
| 3D automatic anatomy recognition based on iterative graph-cut-ASM | 2 | 0.39 | 2010 |
| GC-ASM: synergistic integration of active shape modeling and graph-cut methods | 2 | 0.36 | 2009 |
| Computational analysis of HRCT images for characterization and differentiation of ILD and COPD | 1 | 0.40 | 2009 |
| Automatic anatomy recognition via multi-object-oriented active shape models | 5 | 0.44 | 2009 |
