Hongzhi Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Fully Automatic

Outcome Prediction

Top Venues

Medical Image Anal.

Publications

Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR (2024)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond. Medical Image Anal. 93 (2024)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR (2023)
Ademir Ferreira da Silva, Maciel Zortea, Alexandre Alkmim Chamon, Levente J. Klein, Ken C. L. Wong, Hongzhi Wang, Jitendra Singh
Comparison of Biome-Specific AI Models to Estimate Biomass. IGARSS (2023)
Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS (2023)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. CoRR (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI (2023)
Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR (2023)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR (2023)
Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. Big Data (2022)
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. MICCAI (8) (2022)
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. CoRR (2022)
Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood
Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI (2021)
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR (2021)
John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI (2020)
John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR (2020)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) (2019)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR (2019)
Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI (2019)
Hongzhi Wang, Rui Zhang
Atlas Propagation Through Template Selection. MICCAI (1) (2018)
Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth Clarkson, Nassir Navab
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) (2018)
Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Medical Imaging: Image Processing (2018)
Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. ISBI (2018)
Hongzhi Wang, Deepika Kakrania, Hui Tang, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Comput. Medical Imaging Graph. 68 (2018)
Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood
Automatic detection of aortic dissection in contrast-enhanced CT. ISBI (2017)
Long Xie, John Pluta, Sandhitsu R. Das, Laura E. M. Wisse, Hongzhi Wang, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, José V. Manjón, David A. Wolk, Paul A. Yushkevich
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. NeuroImage 144 (2017)
Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) (2017)
Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. ISBI (2017)
Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood
An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI (2017)
Rui Zhang, Hongzhi Wang, Renu Tewari, Gero Schmidt, Deepika Kakrania
Big Data for Medical Image Analysis: A Performance Study. IPDPS Workshops (2016)
Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. MICCAI (2) (2016)
Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka
Globally Optimal Label Fusion with Shape Priors. MICCAI (2) (2016)
Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis (2016)
Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI (2016)
Ning Yu, Hongzhi Wang, Paul A. Yushkevich
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation. Patch-MI@MICCAI (2016)
Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation. ISBI (2015)
Xi Liang, Suman Sedai, Hongzhi Wang, Sisi Liang, Naveed Hashmi, Patrick McNeillie, Sharbell Y. Hashoul
Multi-atlas based segmentation of multiple organs in breast MRI. Medical Imaging: Image Processing (2015)
Long Xie, Suman Sedai, Xi Liang, Colin B. Compas, Hongzhi Wang, Paul A. Yushkevich, Tanveer F. Syeda-Mahmood
Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. ISBI (2015)
Hongzhi Wang, Yu Cao, Tanveer Fathima Syeda-Mahmood
Finding a Path for Segmentation Through Sequential Learning. IPMI (2015)
David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123 (2015)
Alison M. Pouch, Sijie Tian, Manabu Takabe, Jiefu Yuan, Robert C. Gorman Jr., Albert T. Cheung, Hongzhi Wang, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry. Medical Image Anal. 26 (1) (2015)
Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
Fracture detection in x-ray images through stacked random forests feature fusion. ISBI (2015)
Long Xie, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, David A. Wolk, Paul A. Yushkevich
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. MICCAI (3) (2014)
Alison M. Pouch, Sijie Tian, Manabu Takabe, Hongzhi Wang, Jiefu Yuan, Albert T. Cheung, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure. STACOM (2014)
Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich, Chandra M. Sehgal
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. 18 (1) (2014)
Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
Multi-atlas Segmentation with Learning-Based Label Fusion. MLMI (2014)
Yu Cao, Colin B. Compas, Hongzhi Wang, Tanveer F. Syeda-Mahmood
Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images. CinC (2014)
Hongzhi Wang, Paul A. Yushkevich
Multi-atlas Segmentation without Registration: A Supervoxel-Based Approach. MICCAI (3) (2013)
Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Chandra M. Sehgal, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images. MICCAI (1) (2013)
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, John Pluta, Caryne Craige, Paul A. Yushkevich
Multi-Atlas Segmentation with Joint Label Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 35 (3) (2013)
Hongzhi Wang, Paul A. Yushkevich
Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation. Frontiers Neuroinformatics 7 (2013)
Hongzhi Wang, Paul A. Yushkevich
Groupwise Segmentation with Multi-atlas Joint Label Fusion. MICCAI (1) (2013)
Hongzhi Wang, Alison M. Pouch, Manabu Takabe, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
Multi-atlas Segmentation with Robust Label Transfer and Label Fusion. IPMI (2013)
Hongzhi Wang, Paul A. Yushkevich
Guiding Automatic Segmentation with Multiple Manual Segmentations. MICCAI (2) (2012)
Daniel H. Adler, Alex Yang Liu, John Pluta, Salmon Kadivar, Sylvia Orozco, Hongzhi Wang, James C. Gee, Brian B. Avants, Paul A. Yushkevich
Reconstruction of the human hippocampus in 3D from histology and high-resolution ex-vivo MRI. ISBI (2012)
Hongzhi Wang, Paul A. Yushkevich
Spatial bias in multi-atlas based segmentation. CVPR (2012)
Paul A. Yushkevich, Hongzhi Wang, John Pluta, Brian B. Avants
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration. CVPR (2012)
Sandhitsu R. Das, Brian B. Avants, John Pluta, Hongzhi Wang, Jung Wook Suh, Michael W. Weiner, Susanne G. Mueller, Paul A. Yushkevich
Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI. NeuroImage 60 (2) (2012)
Hongzhi Wang, Paul A. Yushkevich
Dependency prior for multi-atlas label fusion. ISBI (2012)
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, John Pluta, Murat Altinay, Paul A. Yushkevich
Regression-based label fusion for multi-atlas segmentation. CVPR (2011)
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul A. Yushkevich
Optimal Weights for Multi-atlas Label Fusion. IPMI (2011)
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Murat Altinay, John Pluta, Paul A. Yushkevich
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm. ISBI (2011)
Jue Wu, Kathryn A. Davis, Allan Azarion, Yuanjie Zheng, Hongzhi Wang, Brian Litt, James C. Gee
Brain Parcellation Aids in Electrode Localization in Epileptic Patients. AE-CAI (2011)
Yuanjie Zheng, Hongzhi Wang, Jue Wu, Jianbin Gao, James C. Gee
Multiscale analysis revisited: Detection of drusen and vessel in digital retinal images. ISBI (2011)
Yuanjie Zheng, Allan A. Hunter III, Jue Wu, Hongzhi Wang, Jianbin Gao, Maureen G. Maguire, James C. Gee
Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities. IPMI (2011)
Hongzhi Wang, Sandhitsu R. Das, Jung Wook Suh, Murat Altinay, John Pluta, Caryne Craige, Brian B. Avants, Paul A. Yushkevich
A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation. NeuroImage 55 (3) (2011)
Hongzhi Wang, John Oliensis
Generalizing edge detection to contour detection for image segmentation. Comput. Vis. Image Underst. 114 (7) (2010)
Hongzhi Wang, John Oliensis
Rigid Shape Matching by Segmentation Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 32 (4) (2010)
Paul A. Yushkevich, Hongzhi Wang, John Pluta, Sandhitsu R. Das, Caryne Craige, Brian B. Avants, Michael W. Weiner, Susanne G. Mueller
Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI. NeuroImage 53 (4) (2010)
Hui Sun, Alejandro F. Frangi, Hongzhi Wang, Federico Sukno, Catalina Tobon-Gomez, Paul A. Yushkevich
Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model. MICCAI (1) (2010)
Hongzhi Wang, Sandhitsu R. Das, John Pluta, Caryne Craige, Murat Altinay, Brian B. Avants, Michael Weiner, Susanne G. Mueller, Paul A. Yushkevich
: Improving Medical Image Segmentation via Bias Correction. MICCAI (3) (2010)
Hongzhi Wang, Sandhitsu R. Das, John Pluta, Caryne Craige, Murat Altinay, Michael Weiner, Susanne G. Mueller, Paul A. Yushkevich
Shape-based semi-automatic hippocampal subfield segmentation with learning-based bias removal. ISBI (2010)
Hongzhi Wang, John Oliensis
Shape Matching by Segmentation Averaging. ECCV (1) (2008)
Hongzhi Wang, Elli Angelopoulou
Sensor band selection for multispectral imaging via average normalized information. J. Real Time Image Process. 1 (2) (2006)
Hongzhi Wang, John Oliensis
Salient Contour Detection using a Global Contour Discontinuity Measurement. CVPR Workshops (2006)