Helen Hong
Orcid: 0000-0001-5044-7909
According to our database1,
Helen Hong
authored at least 88 papers
between 1998 and 2023.
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Bibliography
2023
Inter-Slice Resolution Improvement Using Convolutional Neural Network with Orbital Bone Edge-Aware in Facial CT Images.
J. Digit. Imaging, February, 2023
Deep regression model with ordinal and triplet loss for the prediction of prostate cancer aggressiveness in multi-parametric MR images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification.
CoRR, 2022
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Deep ensemble models with multiscale lung-focused patches for pneumonia classification on chest x-ray.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Improvement of inter-slice resolution based on 2D CNN with thin bone structure-aware on head-and-neck CT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Renal parenchyma segmentation in abdominal MR images based on cascaded deep convolutional neural network with signal intensity correction.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Two-stage meniscus segmentation framework integrating multiclass localization network and adversarial learning-based segmentation network in knee MR images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Prediction of prostate cancer aggressiveness using quantitative radiomic features using multi-parametric MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Automatic liver segmentation in abdominal CT images using combined 2.5D and 3D segmentation networks with high-score shape prior for radiotherapy treatment planning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networks.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
MGB-NET: Orbital Bone Segmentation from Head and Neck CT Images Using Multi-Graylevel-Bone Convolutional Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Ground-glass nodule segmentation in chest CT images using asymmetric multi-phase deformable model and pulmonary vessel removal.
Comput. Biol. Medicine, 2018
Quantitative analysis and automatic classification of skull deformity based on combined two- and three-dimensional shape indices.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Growing Teamwork Competency: A Mixed Methods Study of an Iterative Digital Formative Assessment Approach.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
2017
Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classification.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Developing Professional Competency in a CSCL Environment for Teamwork: Two TPACK Case Studies of Teachers as Co-Designers.
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017
2016
Fusion of cone-beam CT and 3D photographic images for soft tissue simulation in maxillofacial surgery.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A pedagogical framework for learning analytics in collaborative inquiry tasks: an example from a teamwork competency awareness program.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
Teamwork in the Balance: Exploratory Findings of Teamwork Competency Patterns in Effective Learning Teams.
Proceedings of the Transforming Learning, 2016
2015
Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015
2014
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement.
Comput. Biol. Medicine, 2014
Pulmonary nodule registration in serial CT scans using global rib matching and nodule template matching.
Comput. Biol. Medicine, 2014
Automatic segmentation of vertebral arteries in CT angiography using combined circular and cylindrical model fitting.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Detection of the nipple in automated 3D breast ultrasound using coronal slab-average-projection and cumulative probability map.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014
2013
Automatic vessel extraction of lower extremity CT angiography using multi-segmented volume and regional vessel tracking.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Automatic segmentation of the liver using multi-planar anatomy and deformable surface model in abdominal contrast-enhanced CT images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Automatic contour and centerline extractions of single and bifurcated vessels in coronary angiogram.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Automatic segmentation of ground-glass opacity nodule on chest CT images by histogram modeling and local contrast.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints.
Proceedings of the Computer Vision, 2012
2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2009
Comput. Biol. Medicine, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2008
Summation or Axial Slab Average Intensity Projection of Abdominal Thin-section CT Datasets: Can They Substitute for the Primary Reconstruction from Raw Projection Data?
J. Digit. Imaging, 2008
Correction of segmented lung boundary for inclusion of pleural nodules and pulmonary vessels in chest CT images.
Comput. Biol. Medicine, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Interactive segmentation and visualization of large volume datasets using graphics hardware-based level set method.
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007
Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Visualization, 2006
Fast 2D-3D marker-based registration of CT and x-ray fluoroscopy images for image-guided surgery.
Proceedings of the Medical Imaging 2006: Visualization, 2006
Proceedings of the Medical Imaging and Augmented Reality, 2006
Proceedings of the Progress in Pattern Recognition, 2006
Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for Image-Guided Surgery.
Proceedings of the Progress in Pattern Recognition, 2006
2005
Managing the CT Data Explosion: Initial Experiences of Archiving Volumetric Datasets in a Mini-PACS.
J. Digit. Imaging, 2005
Automatic segmentation and registration for the lung nodule matching in temporal chest CT scans.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Imaging 2005: Visualization, 2005
Cerebral vessel visualization by patient motion correction in three-dimensional CT angiography.
Proceedings of the Medical Imaging 2005: Visualization, 2005
Proceedings of the Medical Imaging 2005: Visualization, 2005
Proceedings of the Image Analysis and Processing, 2005
Interactive Fluid Animation Using Particle Dynamics Simulation and Pre-integrated Volume Rendering.
Proceedings of the Computational Science and Its Applications, 2005
Proceedings of the Computational Science, 2005
Proceedings of the Computational Science, 2005
Proceedings of the Computational Science, 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005
Proceedings of the Progress in Pattern Recognition, 2005
Proceedings of the Progress in Pattern Recognition, 2005
Robust Surface Registration Using a Gaussian-Weighted Distance Map in PET-CT Brain Images.
Proceedings of the Progress in Pattern Recognition, 2005
Proceedings of the Progress in Pattern Recognition, 2005
2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Proceedings of the Medical Imaging 2004: Visualization, 2004
Automatic Lung Surface Registration Using Selective Distance Measure in Temporal CT Scans.
Proceedings of the Progress in Pattern Recognition, 2004
Cerebral Vessel Enhancement Using Rigid Registration in Three-Dimensional CT Angiography.
Proceedings of the Progress in Pattern Recognition, 2004
Proceedings of the Systems Modeling and Simulation: Theory and Applications, 2004
Three-Dimensional Brain CT-DSA Using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning.
Proceedings of the Systems Modeling and Simulation: Theory and Applications, 2004
2003
Intensity-based registration and combined visualization of multimodal brain images for noninvasive epilepsy surgery planning.
Proceedings of the Medical Imaging 2003: Visualization, 2003
2001
Ventricular shape visualization using selective volume rendering of cardiac datasets.
Comput. Biol. Medicine, 2001
2000
Modelling, visualization, and interaction techniques for diagnosis and treatment planning in cardiology.
Comput. Graph., 2000
1998
Building a Teleconference System for Medical Image Processing and Orthopedic Surgical Simulation.
Simul., 1998