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ORCIDHang Chang
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2020 – today
- 2024
[j20]Jianan Fan, Dongnan Liu, Hang Chang, Tom Weidong Cai
:
Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation. Int. J. Comput. Vis. 132(8): 2861-2884 (2024)- [c36]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CVPR 2024: 11524-11534 - [i5]Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai:
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation. CoRR abs/2401.09496 (2024) - [i4]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR abs/2403.01053 (2024) - [i3]Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai:
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. CoRR abs/2407.12870 (2024) - 2023
- [c35]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. ICCV 2023: 21117-21127 - [i2]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Tom Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. CoRR abs/2307.14709 (2023) - 2022
- [j19]Daniel Jiménez Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano:
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. Medical Image Anal. 78: 102384 (2022) - 2021
- [j18]Hong Yan, Xuanyu Mao, Xu Yang, Yongquan Xia, Chengbin Wang, Junjun Wang, Rui Xia, Xuejing Xu, Zhiqiang Wang, Zhiyang Li, Xie Zhao, Yan Li, Guoye Liu, Li He, Zhongyu Wang, Zhiqiong Wang, Zhiqiang Li, Weidong Cai, Han Shen, Hang Chang:
Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study. Int. J. Comput. Vis. 129(6): 1837-1856 (2021) - [i1]Daniel Jiménez Sánchez, Mikel Ariz, Hang Chang, Xavier Matias-Guiu, Carlos E. de Andrea, Carlos Ortiz-de-Solórzano:
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. CoRR abs/2103.05385 (2021) - 2020
- [j17]Xiaofei Qin, Chengzi Wu, Hang Chang, Hao Lu, Xuedian Zhang:
Match Feature U-Net: Dynamic Receptive Field Networks for Biomedical Image Segmentation. Symmetry 12(8): 1230 (2020)
2010 – 2019
- 2018
- [j16]Hang Chang, Ju Han, Cheng Zhong, Antoine Snijders, Jian-Hua Mao:
Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1182-1194 (2018) - [c34]Yang Song, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai:
Feature learning with component selective encoding for histopathology image classification. ISBI 2018: 257-260 - 2017
- [j15]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, Dagan Feng, Mei Chen:
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. Neurocomputing 221: 94-107 (2017) - [j14]Cheng Zhong, Ju Han, Alexander Borowsky, Bahram Parvin, Yunfu Wang, Hang Chang:
When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections. Medical Image Anal. 35: 530-543 (2017) - [c33]Yang Song, Ju Jia Zou, Hang Chang, Weidong Cai:
Adapting fisher vectors for histopathology image classification. ISBI 2017: 600-603 - [c32]Yang Song, Hang Chang, Heng Huang, Weidong Cai:
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. MICCAI (3) 2017: 99-106 - 2016
- [c31]Ju Han, Gerald V. Fontenay, Yunfu Wang, Jian-Hua Mao, Hang Chang:
Phenotypic characterization of breast invasive carcinoma via transferable tissue morphometric patterns learned from glioblastoma multiforme. ISBI 2016: 1025-1028 - [c30]Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chang:
Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. MICCAI (1) 2016: 72-80 - 2015
- [j13]Hang Chang, Yin Zhou, Alexander Borowsky, Kenneth E. Barner, Paul T. Spellman, Bahram Parvin:
Stacked Predictive Sparse Decomposition for Classification of Histology Sections. Int. J. Comput. Vis. 113(1): 3-18 (2015) - [j12]Hang Chang, Quan Wen, Bahram Parvin:
Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set. Pattern Recognit. 48(3): 882-893 (2015) - [c29]Hang Chang, Paul T. Spellman, Bahram Parvin:
Predictive sparse morphometric context for classification of histology sections. ISBI 2015: 1004-1007 - [c28]Yin Zhou, Hang Chang, Kenneth E. Barner, Bahram Parvin:
Nuclei segmentation via sparsity constrained convolutional regression. ISBI 2015: 1284-1287 - [c27]Hang Chang, Bahram Parvin:
Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets. WACV 2015: 436-441 - 2014
- [c26]Yin Zhou, Hang Chang, Kenneth E. Barner, Paul T. Spellman, Bahram Parvin:
Classification of Histology Sections via Multispectral Convolutional Sparse Coding. CVPR 2014: 3081-3088 - 2013
- [j11]Cemal Çagatay Bilgin, Sun Kim, Elle Leung, Hang Chang, Bahram Parvin:
Integrated profiling of three dimensional cell culture models and 3D microscopy. Bioinform. 29(23): 3087-3093 (2013) - [j10]Hang Chang, Ju Han, Alexander Borowsky, Leandro A. Loss, Joe W. Gray, Paul T. Spellman, Bahram Parvin:
Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association. IEEE Trans. Medical Imaging 32(4): 670-682 (2013) - [c25]Hang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin:
Classification of Tumor Histology via Morphometric Context. CVPR 2013: 2203-2210 - [c24]Hang Chang, Yin Zhou, Paul T. Spellman, Bahram Parvin:
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology. ICCV 2013: 169-176 - [c23]Nandita Nayak, Hang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin:
Classification of tumor histopathology via sparse feature learning. ISBI 2013: 410-413 - [c22]Nandita Nayak, Hang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin:
Classification of tumor histopathology via sparse feature learning. ISBI 2013: 1348-1351 - [c21]Hang Chang, Nandita Nayak, Paul T. Spellman, Bahram Parvin:
Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching. MICCAI (2) 2013: 91-98 - 2012
- [j9]Hang Chang, Ju Han, Paul T. Spellman, Bahram Parvin:
Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme. IEEE Trans. Biomed. Eng. 59(12): 3460-3467 (2012) - [c20]Leandro A. Loss, George Bebis, Hang Chang, Manfred Auer, Purbasha Sarkar, Bahram Parvin:
Automatic segmentation and quantification of filamentous structures in electron tomography. BCB 2012: 170-177 - [c19]Hang Chang, Leandro A. Loss, Paul T. Spellman, Alexander Borowsky, Bahram Parvin:
Batch-invariant nuclear segmentation in whole mount histology sections. ISBI 2012: 856-859 - [c18]Leandro A. Loss, Hang Chang, Purbasha Sarkar, Manfred Auer, Bahram Parvin:
Detection of 3D filamentous networks from tomographic electron microscopy. ISBI 2012: 1385-1388 - [c17]Ju Han, Hang Chang, Gerald Fontenay, Paul T. Spellman, Alexander Borowsky, Bahram Parvin:
Molecular bases of morphometric composition in Glioblastoma multiforme. ISBI 2012: 1631-1634 - 2011
- [j8]Hang Chang, Gerald Fontenay, Ju Han, Ge Cong, Frederick L. Baehner, Joe W. Gray, Paul T. Spellman, Bahram Parvin:
Morphometic analysis of TCGA glioblastoma multiforme. BMC Bioinform. 12: 484 (2011) - [c16]Ju Han, Hang Chang, Leandro A. Loss, Kai Zhang, Frederick L. Baehner, Joe W. Gray, Paul T. Spellman, Bahram Parvin:
Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. ISBI 2011: 711-714 - 2010
- [j7]Ju Han, Hang Chang, Orsi Giricz, Genee Y. Lee, Frederick L. Baehner, Joe W. Gray, Mina J. Bissell, Paraic A. Kenny, Bahram Parvin:
Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture. PLoS Comput. Biol. 6(2) (2010) - [j6]Katarzyna A. Rejniak, Shizhen E. Wang, Nicole S. Bryce, Hang Chang, Bahram Parvin, Jerome Jourquin, Lourdes Estrada, Joe W. Gray, Carlos L. Arteaga, Alissa M. Weaver, Vito Quaranta, Alexander R. A. Anderson:
Linking Changes in Epithelial Morphogenesis to Cancer Mutations Using Computational Modeling. PLoS Comput. Biol. 6(8) (2010) - [j5]Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yaswen, Mary Helen Barcellos-Hoff, Bahram Parvin:
Multidimensional Profiling of Cell Surface Proteins and Nuclear Markers. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 80-90 (2010) - [c15]Hang Chang, Bahram Parvin:
Multiphase level set for automated delineation of membrane-bound macromolecules. ISBI 2010: 165-168
2000 – 2009
- 2009
- [j4]Hang Chang, Rosa Anna DeFilippis, Thea D. Tlsty, Bahram Parvin:
Graphical methods for quantifying macromolecules through bright field imaging. Bioinform. 25(8): 1070-1075 (2009) - [c14]Quan Wen, Hang Chang, Bahram Parvin:
A Delaunay Triangulation Approach for Segmenting Clumps of Nuclei. ISBI 2009: 9-12 - [c13]Ju Han, Hang Chang, Gerald Fontenay, Nicholas J. Wang, Joe W. Gray, Bahram Parvin:
Morphometric Subtyping for a Panel of Breast Cancer Cell Lines. ISBI 2009: 791-794 - [c12]Hang Chang, Manfred Auer, Bahram Parvin:
Structural Annotation of EM Images by Graph Cut. ISBI 2009: 1103-1106 - 2008
- [c11]Hang Chang, Qing Yang, Bahram Parvin:
A Bayesian approach for image segmentation with shape priors. CVPR 2008 - [c10]Hang Chang, Rosa Anna DeFilippis, Thea D. Tlsty, Bahrain Parvin:
Scoring histological sections through immunohistochemistry. ISBI 2008: 344-347 - [c9]Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yaswen, Mary Helen Barcellos-Hoff, Bahram Parvin:
Integrated profiling of cell surface protein and nuclear marker for discriminant analysis. ISBI 2008: 1342-1346 - 2007
- [j3]Yen-Cheng Chen, Hou-Chang Chiu, Ming-Dar Tsai, Hang Chang, Chee-Fah Chong:
Development of a personal digital assistant-based wireless application in clinical practice. Comput. Methods Programs Biomed. 85(2): 181-184 (2007) - [j2]Hang Chang, Qing Yang, Bahram Parvin:
Segmentation of heterogeneous blob objects through voting and level set formulation. Pattern Recognit. Lett. 28(13): 1781-1787 (2007) - [j1]Bahram Parvin, Qing Yang, Ju Han, Hang Chang, Bjorn Rydberg, Mary Helen Barcellos-Hoff:
Iterative Voting for Inference of Structural Saliency and Characterization of Subcellular Events. IEEE Trans. Image Process. 16(3): 615-623 (2007) - [c8]Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin:
Modeling of Front Evolution with Graph Cut Optimization. ICIP (1) 2007: 241-244 - [c7]Hang Chang, Catherine Park, Bahram Parvin:
Quantitative Representation of Three-dimensional Cell Culture Models. ISBI 2007: 89-92 - [c6]Ju Han, Hang Chang, Qing Yang, Mary Helen Barcellos-Hoff, Bahram Parvin:
Segmentation of Mammosphere Structures from Volumetric Data. ISBI 2007: 524-527 - [c5]Hang Chang, Kumari L. Andarawewa, Ju Han, Mary Helen Barcellos-Hoff, Bahram Parvin:
Perceptual Grouping of Membrane Signals in Cell-Based Assays. ISBI 2007: 532-535 - 2006
- [c4]Hang Chang, Qing Yang, Chunhong Pan:
An Iterative Bayesian Approach for Digital Matting. ICPR (2) 2006: 122-125 - [c3]Ju Han, Hang Chang, Qing Yang, Mary Helen Barcellos-Hoff, Bahram Parvin:
3D Segmentation of Mammospheres for Localization Studies. ISVC (1) 2006: 518-527 - [c2]Hang Chang, Bahram Parvin:
Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane. ISVC (2) 2006: 586-595 - 2003
- [c1]Chee-Fah Chong, Yu-Chuan Li, Tzong-Luen Wang, Hang Chang:
Stratification of Adverse Outcomes by Preoperative Risk Factors in Coronary Artery Bypass Graft Patients: An Artificial Neural Network Prediction Model. AMIA 2003
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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