Hongzhi Wang - RankMe

87 papers A* 3B 4C 2Journal 26Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. IEEE Trans. Medical Imaging Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	—	`conf`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. UniReps Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond. Medical Image Anal. Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. CoRR Satyananda Kashyap, Niharika Shimona D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2024	—	`conf`	Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan
2024	J	`jnl`	Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan
2024	B	`conf`	Vector Quantization with Sorting Transformation. IEEE Big Data Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	C	`conf`	Comparison of Biome-Specific AI Models to Estimate Biomass. IGARSS Ademir Ferreira da Silva, Maciel Zortea, Alexandre Alkmim Chamon, Levente J. Klein, Ken C. L. Wong, Hongzhi Wang, Jitendra Singh
2023	—	`conf`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	C	`conf`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. CoRR Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2023	—	`conf`	MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2022	—	`ed.`	Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings EPIMI/ML-CDS@MICCAI John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij
2022	—	`conf`	Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. MICCAI (8) Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2022	J	`jnl`	Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. CoRR Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2022	B	`conf`	NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. IEEE Big Data Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
2021	J	`jnl`	Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR Ken C. L. Wong, Hongzhi Wang, Etienne Eben Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
2021	—	`conf`	Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood
2021	—	`ed.`	Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings ML-CDS@MICCAI Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang
2020	—	`ed.`	Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings MLCN/RNO-AI@MICCAI Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar
2020	—	`conf`	Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
2020	J	`jnl`	Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
2019	—	`conf`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer
2019	—	`ed.`	OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings OR/MLCN@MICCAI Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel A. Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
2018	—	`conf`	Atlas Propagation Through Template Selection. MICCAI (1) Hongzhi Wang, Rui Zhang
2018	J	`jnl`	Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Comput. Medical Imaging Graph. Hongzhi Wang, Deepika Kakrania, Hui Tang, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
2018	—	`conf`	Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab
2018	—	`conf`	Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. ISBI Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2018	B	`conf`	Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Image Processing Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	—	`conf`	A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	—	`conf`	An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic detection of aortic dissection in contrast-enhanced CT. ISBI Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. ISBI Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	J	`jnl`	Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. NeuroImage 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
2016	—	`conf`	A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2016	—	`conf`	Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. MICCAI (2) Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Hongzhi Wang, David A. Wolk, José V. Manjón, Paul A. Yushkevich
2016	—	`conf`	Big Data for Medical Image Analysis: A Performance Study. IPDPS Workshops Rui Zhang, Hongzhi Wang, Renu Tewari, Gero Schmidt, Deepika Kakrania
2016	—	`conf`	Globally Optimal Label Fusion with Shape Priors. MICCAI (2) Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka
2016	—	`conf`	Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 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
2016	—	`conf`	Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation. Patch-MI@MICCAI Ning Yu, Hongzhi Wang, Paul A. Yushkevich
2015	—	`conf`	An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation. ISBI Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
2015	J	`jnl`	Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 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
2015	—	`conf`	Finding a Path for Segmentation Through Sequential Learning. IPMI Hongzhi Wang, Yu Cao, Tanveer Fathima Syeda-Mahmood
2015	—	`conf`	Fracture detection in x-ray images through stacked random forests feature fusion. ISBI Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
2015	J	`jnl`	Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry. Medical Image Anal. 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
2015	B	`conf`	Multi-atlas based segmentation of multiple organs in breast MRI. Image Processing Xi Liang, Suman Sedai, Hongzhi Wang, Sisi Liang, Naveed Hashmi, Patrick McNeillie, Sharbell Y. Hashoul
2015	—	`conf`	Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. ISBI Long Xie, Suman Sedai, Xi Liang, Colin B. Compas, Hongzhi Wang, Paul A. Yushkevich, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images. CinC Yu Cao, Colin B. Compas, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex. MICCAI (3) 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
2014	J	`jnl`	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. Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich, Chandra M. Sehgal
2014	—	`conf`	Multi-atlas Segmentation with Learning-Based Label Fusion. MLMI Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure. STACOM 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
2013	—	`conf`	Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images. MICCAI (1) Alison M. Pouch, Hongzhi Wang, Manabu Takabe, Benjamin M. Jackson, Chandra M. Sehgal, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
2013	—	`conf`	Groupwise Segmentation with Multi-atlas Joint Label Fusion. MICCAI (1) Hongzhi Wang, Paul A. Yushkevich
2013	J	`jnl`	Multi-Atlas Segmentation with Joint Label Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, John Pluta, Caryne Craige, Paul A. Yushkevich
2013	—	`conf`	Multi-atlas Segmentation with Robust Label Transfer and Label Fusion. IPMI Hongzhi Wang, Alison M. Pouch, Manabu Takabe, Benjamin M. Jackson, Joseph H. Gorman III, Robert C. Gorman, Paul A. Yushkevich
2013	—	`conf`	Multi-atlas Segmentation without Registration: A Supervoxel-Based Approach. MICCAI (3) Hongzhi Wang, Paul A. Yushkevich
2013	J	`jnl`	Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation. Frontiers Neuroinformatics Hongzhi Wang, Paul A. Yushkevich
2012	—	`conf`	Dependency prior for multi-atlas label fusion. ISBI Hongzhi Wang, Paul A. Yushkevich
2012	A*	`conf`	From label fusion to correspondence fusion: A new approach to unbiased groupwise registration. CVPR Paul A. Yushkevich, Hongzhi Wang, John Pluta, Brian B. Avants
2012	—	`conf`	Guiding Automatic Segmentation with Multiple Manual Segmentations. MICCAI (2) Hongzhi Wang, Paul A. Yushkevich
2012	J	`jnl`	Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI. NeuroImage Sandhitsu R. Das, Brian B. Avants, John Pluta, Hongzhi Wang, Jung Wook Suh, Michael W. Weiner, Susanne G. Mueller, Paul A. Yushkevich
2012	—	`conf`	Reconstruction of the human hippocampus in 3D from histology and high-resolution ex-vivo MRI. ISBI Daniel H. Adler, Alex Yang Liu, John Pluta, Salmon Kadivar, Sylvia Orozco, Hongzhi Wang, James C. Gee, Brian B. Avants, Paul A. Yushkevich
2012	A*	`conf`	Spatial bias in multi-atlas based segmentation. CVPR Hongzhi Wang, Paul A. Yushkevich
2011	J	`jnl`	A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation. NeuroImage Hongzhi Wang, Sandhitsu R. Das, Jung Wook Suh, Murat Altinay, John Pluta, Caryne Craige, Brian B. Avants, Paul A. Yushkevich
2011	—	`conf`	Brain Parcellation Aids in Electrode Localization in Epileptic Patients. AE-CAI Jue Wu, Kathryn A. Davis, Allan Azarion, Yuanjie Zheng, Hongzhi Wang, Brian Litt, James C. Gee
2011	—	`conf`	Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm. ISBI Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Murat Altinay, John Pluta, Paul A. Yushkevich
2011	—	`conf`	Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities. IPMI Yuanjie Zheng, Allan A. Hunter III, Jue Wu, Hongzhi Wang, Jianbin Gao, Maureen G. Maguire, James C. Gee
2011	—	`conf`	Multiscale analysis revisited: Detection of drusen and vessel in digital retinal images. ISBI Yuanjie Zheng, Hongzhi Wang, Jue Wu, Jianbin Gao, James C. Gee
2011	—	`conf`	Optimal Weights for Multi-atlas Label Fusion. IPMI Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul A. Yushkevich
2011	A*	`conf`	Regression-based label fusion for multi-atlas segmentation. CVPR Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, John Pluta, Murat Altinay, Paul A. Yushkevich
2010	—	`conf`	Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model. MICCAI (1) Hui Sun, Alejandro F. Frangi, Hongzhi Wang, Federico Sukno, Catalina Tobon-Gomez, Paul A. Yushkevich
2010	J	`jnl`	Generalizing edge detection to contour detection for image segmentation. Comput. Vis. Image Underst. Hongzhi Wang, John Oliensis
2010	J	`jnl`	Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI. NeuroImage Paul A. Yushkevich, Hongzhi Wang, John Pluta, Sandhitsu R. Das, Caryne Craige, Brian B. Avants, Michael W. Weiner, Susanne G. Mueller
2010	J	`jnl`	Rigid Shape Matching by Segmentation Averaging. IEEE Trans. Pattern Anal. Mach. Intell. Hongzhi Wang, John Oliensis
2010	—	`conf`	Shape-based semi-automatic hippocampal subfield segmentation with learning-based bias removal. ISBI Hongzhi Wang, Sandhitsu R. Das, John Pluta, Caryne Craige, Murat Altinay, Michael Weiner, Susanne G. Mueller, Paul A. Yushkevich
2008	—	`conf`	Shape Matching by Segmentation Averaging. ECCV (1) Hongzhi Wang, John Oliensis
2006	—	`conf`	Salient Contour Detection using a Global Contour Discontinuity Measurement. CVPR Workshops Hongzhi Wang, John Oliensis
2006	J	`jnl`	Sensor band selection for multispectral imaging via average normalized information. J. Real Time Image Process. Hongzhi Wang, Elli Angelopoulou