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ORCIDHongzhi Wang 0002
Person information
- affiliation: IBM Almaden Research Center, San Jose, CA, USA
- affiliation (2008 - 2013): University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
- affiliation (PhD 2008): Stevens Institute of Technology, Hoboken, NJ, USA
Other persons with the same name
- Hongzhi Wang (aka: Hong-Zhi Wang) — disambiguation page
- Hongzhi Wang 0001
![[0000-0002-7521-2871]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7521-2871")
— Harbin Institute of Technology, China - Hongzhi Wang 0003 — Supélec/IETR, Cesson Sévigné, France
- Hongzhi Wang 0004 — Changchun University of Technology, College of Computer Science and Engineering, Chang Chun, China
- Hongzhi Wang 0005 — Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China
- Hongzhi Wang 0006 — Qingdao Agricultural University, School of Management, Qingdao, China
- Hongzhi Wang 0007 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, Anhui Province Key Laboratory of Medical Physics and Technology, Hefei, China (and 1 more)
- Hongzhi Wang 0008 — Dalian Jiaotong University, Network & Information Center, Dalian, China
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2020 – today
- 2023
[c55]Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood:
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS 2023: 1305-1308- [c54]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: 1313-1316 - [c53]Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI 2023: 1-5 - [c52]Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) 2023: 364-373 - [c51]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: 141-154 - [i8]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 abs/2307.07093 (2023) - [i7]Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR abs/2310.03872 (2023) - [i6]Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR abs/2310.04466 (2023) - [i5]Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood:
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR abs/2311.13016 (2023) - 2022
- [c50]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. IEEE Big Data 2022: 4881-4887 - [c49]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 in Tuberculosis. MICCAI (8) 2022: 287-297 - [e4]John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij:
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. Lecture Notes in Computer Science 13755, Springer 2022, ISBN 978-3-031-23222-0 [contents] - [i4]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 in Tuberculosis. CoRR abs/2210.14377 (2022) - 2021
- [c48]Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood:
Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI 2021: 1169-1172 - [e3]Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i3]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 abs/2112.05254 (2021) - 2020
- [c47]John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI 2020: 1183-1187 - [e2]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:
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. Lecture Notes in Computer Science 12449, Springer 2020, ISBN 978-3-030-66842-6 [contents] - [i2]John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR abs/2004.09673 (2020)
2010 – 2019
- 2019
- [c46]Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer:
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI 2019: 6-10 - [c45]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: 522-530 - [e1]Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel A. Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang:
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. Lecture Notes in Computer Science 11796, Springer 2019, ISBN 978-3-030-32694-4 [contents] - [i1]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 abs/1907.01656 (2019) - 2018
- [j13]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: 16-24 (2018) - [c44]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: 1340-1343 - [c43]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: 377-384 - [c42]Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) 2018: 543-551 - [c41]Hongzhi Wang, Rui Zhang:
Atlas Propagation Through Template Selection. MICCAI (1) 2018: 711-719 - [c40]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: 1057407 - 2017
- [j12]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: 183-202 (2017) - [c39]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: 223-226 - [c38]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: 265-269 - [c37]Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Automatic detection of aortic dissection in contrast-enhanced CT. ISBI 2017: 557-560 - [c36]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: 168-176 - 2016
- [c35]Rui Zhang, Hongzhi Wang, Renu Tewari, Gero Schmidt, Deepika Kakrania:
Big Data for Medical Image Analysis: A Performance Study. IPDPS Workshops 2016: 1660-1664 - [c34]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: 1418-1421 - [c33]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: 97850A - [c32]Ning Yu, Hongzhi Wang, Paul A. Yushkevich:
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation. Patch-MI@MICCAI 2016: 100-108 - [c31]Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka:
Globally Optimal Label Fusion with Shape Priors. MICCAI (2) 2016: 538-546 - [c30]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: 564-571 - 2015
- [j11]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): 217-231 (2015) - [j10]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: 149-164 (2015) - [c29]Hongzhi Wang, Yu Cao, Tanveer Fathima Syeda-Mahmood:
Finding a Path for Segmentation Through Sequential Learning. IPMI 2015: 488-500 - [c28]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: 376-379 - [c27]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: 801-805 - [c26]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: 1106-1109 - [c25]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: 94133R - 2014
- [j9]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): 118-129 (2014) - [c24]Yu Cao, Colin B. Compas, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images. CinC 2014: 317-320 - [c23]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: 81-88 - [c22]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: 196-203 - [c21]Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood:
Multi-atlas Segmentation with Learning-Based Label Fusion. MLMI 2014: 256-263 - 2013
- [j8]Hongzhi Wang, Paul A. Yushkevich:
Multi-atlas segmentation with joint label fusion and corrective learning - an open source implementation. Frontiers Neuroinformatics 7: 27 (2013) - [j7]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): 611-623 (2013) - [c20]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: 548-559 - [c19]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: 485-492 - [c18]Hongzhi Wang, Paul A. Yushkevich:
Multi-atlas Segmentation without Registration: A Supervoxel-Based Approach. MICCAI (3) 2013: 535-542 - [c17]Hongzhi Wang, Paul A. Yushkevich:
Groupwise Segmentation with Multi-atlas Joint Label Fusion. MICCAI (1) 2013: 711-718 - 2012
- [j6]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): 1266-1279 (2012) - [c16]Hongzhi Wang, Paul A. Yushkevich:
Spatial bias in multi-atlas based segmentation. CVPR 2012: 909-916 - [c15]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: 956-963 - [c14]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: 294-297 - [c13]Hongzhi Wang, Paul A. Yushkevich:
Dependency prior for multi-atlas label fusion. ISBI 2012: 892-895 - [c12]Hongzhi Wang, Paul A. Yushkevich:
Guiding Automatic Segmentation with Multiple Manual Segmentations. MICCAI (2) 2012: 429-436 - 2011
- [j5]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): 968-985 (2011) - [c11]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: 1113-1120 - [c10]Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul A. Yushkevich:
Optimal Weights for Multi-atlas Label Fusion. IPMI 2011: 73-84 - [c9]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: 674-685 - [c8]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: 689-692 - [c7]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: 2036-2040 - [c6]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: 130-137 - 2010
- [j4]Hongzhi Wang, John Oliensis:
Generalizing edge detection to contour detection for image segmentation. Comput. Vis. Image Underst. 114(7): 731-744 (2010) - [j3]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): 1208-1224 (2010) - [j2]Hongzhi Wang, John Oliensis:
Rigid Shape Matching by Segmentation Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 619-635 (2010) - [c5]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: 424-427 - [c4]Hongzhi Wang, Sandhitsu R. Das, John Pluta, Caryne Craige, Murat Altinay, Brian B. Avants, Michael Weiner, Susanne G. Mueller, Paul A. Yushkevich:
Standing on the Shoulders of Giants: Improving Medical Image Segmentation via Bias Correction. MICCAI (3) 2010: 105-112 - [c3]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: 468-475
2000 – 2009
- 2008
- [c2]Hongzhi Wang, John Oliensis:
Shape Matching by Segmentation Averaging. ECCV (1) 2008: 562-575 - 2006
- [j1]Hongzhi Wang, Elli Angelopoulou:
Sensor band selection for multispectral imaging via average normalized information. J. Real Time Image Process. 1(2): 109-121 (2006) - [c1]Hongzhi Wang, John Oliensis:
Salient Contour Detection using a Global Contour Discontinuity Measurement. CVPR Workshops 2006: 190
Coauthor Index
Tanveer F. Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
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