Stratification of Adverse Outcomes by Preoperative Risk Factors in Coronary Artery Bypass Graft Patients: An Artificial Neural Network Prediction Model. - Chee-Fah Chong; Yu-Chuan Li; Tzong-Luen Wang; Hang Chang (AMIA, 2003)

An Iterative Bayesian Approach for Digital Matting. - Hang Chang; Qing Yang 002; Chunhong Pan (ICPR (2), 2006)

Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane. - Hang Chang; Bahram Parvin (ISVC (2), 2006)

3D Segmentation of Mammospheres for Localization Studies. - Ju Han; Hang Chang; Qing Yang 002; Mary Helen Barcellos-Hoff; Bahram Parvin (ISVC (1), 2006)

Modeling of Front Evolution with Graph Cut Optimization. - Hang Chang; Qing Yang 002; Manfred Auer; Bahram Parvin (ICIP (1), 2007)

Perceptual Grouping of Membrane Signals in Cell-Based Assays. - Hang Chang; Kumari L. Andarawewa; Ju Han; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2007)

Quantitative Representation of Three-dimensional Cell Culture Models. - Hang Chang; Catherine Park; Bahram Parvin (ISBI, 2007)

Segmentation of Mammosphere Structures from Volumetric Data. - Ju Han; Hang Chang; Qing Yang 002; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2007)

Development of a personal digital assistant-based wireless application in clinical practice. - Yen-Cheng Chen; Hou-Chang Chiu; Ming-Dar Tsai; Hang Chang; Chee-Fah Chong (Comput. Methods Programs Biomed., 2007)

Segmentation of heterogeneous blob objects through voting and level set formulation. - Hang Chang; Qing Yang 002; Bahram Parvin (Pattern Recognit. Lett., 2007)

Iterative Voting for Inference of Structural Saliency and Characterization of Subcellular Events. - Bahram Parvin; Qing Yang 002; Ju Han; Hang Chang; Bjorn Rydberg; Mary Helen Barcellos-Hoff (IEEE Trans. Image Process., 2007)

A Bayesian approach for image segmentation with shape priors. - Hang Chang; Qing Yang 002; Bahram Parvin (CVPR, 2008)

Scoring histological sections through immunohistochemistry. - Hang Chang; Rosa Anna DeFilippis; Thea D. Tlsty; Bahrain Parvin (ISBI, 2008)

Integrated profiling of cell surface protein and nuclear marker for discriminant analysis. - Ju Han; Hang Chang; Kumari L. Andarawewa; Paul Yaswen; Mary Helen Barcellos-Hoff; Bahram Parvin (ISBI, 2008)

Structural Annotation of EM Images by Graph Cut. - Hang Chang; Manfred Auer; Bahram Parvin (ISBI, 2009)

Morphometric Subtyping for a Panel of Breast Cancer Cell Lines. - Ju Han; Hang Chang; Gerald Fontenay; Nicholas J. Wang; Joe W. Gray; Bahram Parvin (ISBI, 2009)

A Delaunay Triangulation Approach for Segmenting Clumps of Nuclei. - Quan Wen; Hang Chang; Bahram Parvin (ISBI, 2009)

Graphical methods for quantifying macromolecules through bright field imaging. - Hang Chang; Rosa Anna DeFilippis; Thea D. Tlsty; Bahram Parvin (Bioinform., 2009)

Multiphase level set for automated delineation of membrane-bound macromolecules. - Hang Chang; Bahram Parvin (ISBI, 2010)

Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture. - Ju Han; Hang Chang; Orsi Giricz; Genee Y. Lee; Frederick L. Baehner; Joe W. Gray; Mina J. Bissell; Paraic A. Kenny; Bahram Parvin (PLoS Comput. Biol., 2010)

Linking Changes in Epithelial Morphogenesis to Cancer Mutations Using Computational Modeling. - 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 (PLoS Comput. Biol., 2010)

Multidimensional Profiling of Cell Surface Proteins and Nuclear Markers. - Ju Han; Hang Chang; Kumari L. Andarawewa; Paul Yaswen; Mary Helen Barcellos-Hoff; Bahram Parvin (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. - Ju Han; Hang Chang; Leandro A. Loss; Kai Zhang 001; Frederick L. Baehner; Joe W. Gray; Paul T. Spellman; Bahram Parvin (ISBI, 2011)

Morphometic analysis of TCGA glioblastoma multiforme. - Hang Chang; Gerald Fontenay; Ju Han; Ge Cong; Frederick L. Baehner; Joe W. Gray; Paul T. Spellman; Bahram Parvin (BMC Bioinform., 2011)

Automatic segmentation and quantification of filamentous structures in electron tomography. - Leandro A. Loss; George Bebis; Hang Chang; Manfred Auer; Purbasha Sarkar; Bahram Parvin (BCB, 2012)

Batch-invariant nuclear segmentation in whole mount histology sections. - Hang Chang; Leandro A. Loss; Paul T. Spellman; Alexander Borowsky; Bahram Parvin (ISBI, 2012)

Molecular bases of morphometric composition in Glioblastoma multiforme. - Ju Han; Hang Chang; Gerald Fontenay; Paul T. Spellman; Alexander Borowsky; Bahram Parvin (ISBI, 2012)

Detection of 3D filamentous networks from tomographic electron microscopy. - Leandro A. Loss; Hang Chang; Purbasha Sarkar; Manfred Auer; Bahram Parvin (ISBI, 2012)

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme. - Hang Chang; Ju Han; Paul T. Spellman; Bahram Parvin (IEEE Trans. Biomed. Eng., 2012)

Classification of Tumor Histology via Morphometric Context. - Hang Chang; Alexander Borowsky; Paul T. Spellman; Bahram Parvin (CVPR, 2013)

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology. - Hang Chang; Yin Zhou; Paul T. Spellman; Bahram Parvin (ICCV, 2013)

Classification of tumor histopathology via sparse feature learning. - Nandita Nayak; Hang Chang; Alexander Borowsky; Paul T. Spellman; Bahram Parvin (ISBI, 2013)

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching. - Hang Chang; Nandita Nayak; Paul T. Spellman; Bahram Parvin (MICCAI (2), 2013)

Integrated profiling of three dimensional cell culture models and 3D microscopy. - Cemal Çagatay Bilgin; Sun Kim; Elle Leung; Hang Chang; Bahram Parvin (Bioinform., 2013)

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association. - Hang Chang; Ju Han; Alexander Borowsky; Leandro A. Loss; Joe W. Gray; Paul T. Spellman; Bahram Parvin (IEEE Trans. Medical Imaging, 2013)

Classification of Histology Sections via Multispectral Convolutional Sparse Coding. - Yin Zhou; Hang Chang; Kenneth E. Barner; Paul T. Spellman; Bahram Parvin (CVPR, 2014)

Predictive sparse morphometric context for classification of histology sections. - Hang Chang; Paul T. Spellman; Bahram Parvin (ISBI, 2015)

Nuclei segmentation via sparsity constrained convolutional regression. - Yin Zhou; Hang Chang; Kenneth E. Barner; Bahram Parvin (ISBI, 2015)

Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets. - Hang Chang; Bahram Parvin (WACV, 2015)

Stacked Predictive Sparse Decomposition for Classification of Histology Sections. - Hang Chang; Yin Zhou; Alexander Borowsky; Kenneth E. Barner; Paul T. Spellman; Bahram Parvin (Int. J. Comput. Vis., 2015)

Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set. - Hang Chang; Quan Wen; Bahram Parvin (Pattern Recognit., 2015)

Phenotypic characterization of breast invasive carcinoma via transferable tissue morphometric patterns learned from glioblastoma multiforme. - Ju Han; Gerald V. Fontenay; Yunfu Wang; Jian-Hua Mao; Hang Chang (ISBI, 2016)

Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. - Ju Han; Yunfu Wang; Weidong Cai 001; Alexander Borowsky; Bahram Parvin; Hang Chang (MICCAI (1), 2016)

Adapting fisher vectors for histopathology image classification. - Yang Song 001; Ju Jia Zou; Hang Chang; Weidong Cai 001 (ISBI, 2017)

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. - Yang Song 001; Hang Chang; Heng Huang; Weidong Cai 001 (MICCAI (3), 2017)

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. - Afaf Tareef; Yang Song 001; Weidong Cai 001; Heng Huang; Hang Chang; Yue Wang 021; Michael J. Fulham; Dagan Feng 001; Mei Chen (Neurocomputing, 2017)

When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections. - Cheng Zhong; Ju Han; Alexander Borowsky; Bahram Parvin; Yunfu Wang; Hang Chang (Medical Image Anal., 2017)

Feature learning with component selective encoding for histopathology image classification. - Yang Song 001; Hang Chang; Yang Gao; Sidong Liu; Donghao Zhang; Junen Yao; Wojciech Chrzanowski; Weidong Cai 001 (ISBI, 2018)

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications. - Hang Chang; Ju Han; Cheng Zhong; Antoine Snijders; Jian-Hua Mao (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Match Feature U-Net: Dynamic Receptive Field Networks for Biomedical Image Segmentation. - Xiaofei Qin; Chengzi Wu; Hang Chang; Hao Lu; Xuedian Zhang (Symmetry, 2020)

Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study. - Hong Yan; Xuanyu Mao; Xu Yang; Yongquan Xia; Chengbin Wang; Junjun Wang; Rui Xia; Xuejing Xu; Zhiqiang Wang; Zhiyang Li; Xie Zhao; Yan Li; et al. (Int. J. Comput. Vis., 2021)

NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images. - Daniel Jiménez Sánchez; Mikel Ariz; Hang Chang; Xavier Matias-Guiu; Carlos E. de Andrea; Carlos Ortiz-de-Solórzano (Medical Image Anal., 2022)

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang; Mei Chen; Weidong Cai 001 (ICCV, 2023)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang; Mei Chen; Weidong Cai 001 (CVPR, 2024)

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. - Jianan Fan; Dongnan Liu; Canran Li; Hang Chang; Heng Huang; Filip Braet; Mei Chen; Tom Weidong Cai (ECCV (73), 2024)

Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation. - Jianan Fan; Dongnan Liu; Hang Chang; Tom Weidong Cai (Int. J. Comput. Vis., 2024)

Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images. - Yaxuan Song; Jianan Fan; Hang Chang; Tom Weidong Cai (CoRR, 2025)

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation. - Bo Fang; Jianan Fan; Dongnan Liu; Hang Chang; Gerald J. Shami; Filip Braet; Weidong Cai 001 (CoRR, 2025)