Hongzhi Wang
Affiliations:- IBM Almaden Research Center, San Jose, CA, USA
- University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA (2008 - 2013)
- Stevens Institute of Technology, Hoboken, NJ, USA (PhD 2008)
According to our database1,
Hongzhi Wang
authored at least 69 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion.
CoRR, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning.
Comput. Medical Imaging Graph., 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
NeuroImage, 2017
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2015
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
NeuroImage, 2015
Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry.
Medical Image Anal., 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial modeling.
Medical Image Anal., 2014
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation.
Frontiers Neuroinformatics, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI.
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Reconstruction of the human hippocampus in 3D from histology and high-resolution ex-vivo MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation.
NeuroImage, 2011
Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2011
Multiscale analysis revisited: Detection of drusen and vessel in digital retinal images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities.
Proceedings of the Information Processing in Medical Imaging, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI.
NeuroImage, 2010
Comput. Vis. Image Underst., 2010
<i>Standing on the Shoulders of Giants</i>: Improving Medical Image Segmentation via Bias Correction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Shape-based semi-automatic hippocampal subfield segmentation with learning-based bias removal.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2008
2006
J. Real Time Image Process., 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006