Hang Chang

发表

UC San Francisco UC San Francisco Previously

P. Spellman, J. Gray, Ju Han, 2012 .

Quantification of the Dynamics of DNA Repair to Ionizing Radiation via Colocalization of 53BP1 and ɣH2AX

Ju Han, G. Fontenay, B. Parvin, 2015 .

Identification of Fluorescent Compounds with Non-Specific Binding Property via High Throughput Live Cell Microscopy

Ju Han, G. Fontenay, B. Parvin, 2012, PloS one.

Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme

P. Spellman, G. Fontenay, B. Parvin, 2014 .

CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues.

E. Ziv, G. Fontenay, B. Parvin, 2012, Cancer discovery.

High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia

B. Parvin, Bernd Bodenmiller, A. Borowsky, 2018, Cell reports.

High-Dimensional Phenoty ping Identifies Age-Emergent Cells in Human Mammary Epithelia Graphical Abstract Highlights

B. Parvin, Bernd Bodenmiller, A. Borowsky, 2018 .

Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning: a retrospective multicentric study

A. Snijders, H. Vogel, Yankai Xia, 2021 .

Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density.

Bahram Parvin, Hang Chang, Karla Kerlikowske, 2014, Cancer research.

Stiffness of the microenvironment upregulates ERBB2 expression in 3D cultures of MCF10A within the range of mammographic density

Bahram Parvin, Hang Chang, Matthew Henderson, 2016, Scientific Reports.

Persistence of γ-H2AX and 53BP1 foci in proliferating and non-proliferating human mammary epithelial cells after exposure to γ-rays or iron ions

G. Fontenay, B. Parvin, S. Costes, 2011, International journal of radiation biology.

Persistence of gamma-H2AX and 53BP1 foci in proliferating and nonproliferating human mammary epithelial cells after exposure to gamma-rays or iron ions

G. Fontenay, B. Parvin, M. Barcellos-Hoff, 2011 .

Breast fibroblasts modulate early dissemination, tumorigenesis, and metastasis through alteration of extracellular matrix characteristics.

B. Parvin, T. Tlsty, N. Dumont, 2013, Neoplasia.

Phenotypic characterization of breast invasive carcinoma via transferable tissue morphometric patterns learned from glioblastoma multiforme

Hang Chang, Ju Han, Yunfu Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Predictive sparse morphometric context for classification of histology sections

Bahram Parvin, Hang Chang, Paul T. Spellman, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Stacked Predictive Sparse Decomposition for Classification of Histology Sections

Bahram Parvin, Kenneth E. Barner, Hang Chang, 2014, International Journal of Computer Vision.

Classification of Histology Sections via Multispectral Convolutional Sparse Coding

Bahram Parvin, Kenneth E. Barner, Hang Chang, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology

Bahram Parvin, Hang Chang, Paul T. Spellman, 2013, 2013 IEEE International Conference on Computer Vision.

Classification of Tumor Histology via Morphometric Context

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Classification of tumor histopathology via sparse feature learning

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, IEEE Transactions on Medical Imaging.

Classification of tumor histopathology via sparse feature learning

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Morphometic analysis of TCGA glioblastoma multiforme

Bahram Parvin, Hang Chang, Paul T. Spellman, 2011, BMC Bioinformatics.

Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture

Bahram Parvin, Hang Chang, Joe W. Gray, 2010, PLoS Comput. Biol..

Molecular Predictors of 3 D Morphogenesis by Breast Cancer Cell Lines in 3 D Culture

Bahram Parvin, Hang Chang, Joe W. Gray, 2010 .

NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images pdf

Hang Chang, Mikel Ariz, Carlos Ortiz-de-Solórzano, 2021, 2103.05385.

Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening

Hang Chang, X. Mao, X.-P. Liu, 2020, Frontiers in Public Health.

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation

Heng Huang, Mei Chen, David Dagan Feng, 2017, Neurocomputing.

A Delaunay triangulation approach for segmenting clumps of nuclei

Bahram Parvin, Quan Wen, Hang Chang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching

Bahram Parvin, Hang Chang, Paul T. Spellman, 2013, MICCAI.

Linking Changes in Epithelial Morphogenesis to Cancer Mutations Using Computational Modeling

Bahram Parvin, Hang Chang, Joe W. Gray, 2010, PLoS Comput. Biol..

QUANTITATIVE REPRESENTATION OF THREE-DIMENSIONAL CELL CULTURE MODELS

Bahram Parvin, Hang Chang, Catherine Park, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D Segmentation of Mammospheres for Localization Studies

Bahram Parvin, Hang Chang, Qing Yang, 2006, ISVC.

Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane

Bahram Parvin, Hang Chang, B. Parvin, 2006, ISVC.

Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study

Rui Xia, Hang Chang, Weidong Cai, 2021, International Journal of Computer Vision.

WBC-Profiler: an Unsupervised Feature Learning System for Leukocytes Characterization and Classification

Hong Yan, Yan Li, Zhiyang Li, 2018, bioRxiv.

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

Hang Chang, Cheng Zhong, Ju Han, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Molecular bases of morphometric composition in Glioblastoma multiforme

Bahram Parvin, Hang Chang, Alexander Borowsky, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A Bayesian approach for image segmentation with shape priors

Qing Yang, Bahram Parvin, Hang Chang, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Modeling of Front Evolution with Graph Cut Optimization

Qing Yang, Bahram Parvin, Hang Chang, 2007, 2007 IEEE International Conference on Image Processing.

NaroNet: Objective-based learning of the tumor microenvironment from highly multiplexed immunostained images

M. Ariz, X. Matías-Guiu, Hang Chang, 2021 .

NUCLEAR SEGMENTATION IN H & E SECTIONS VIA MULTI-REFERENCE GRAPH CUT ( MRGC )

Bahram Parvin, Hang Chang, Leandro A. Loss, 2011 .

Feature learning with component selective encoding for histopathology image classification

Yang Gao, Sidong Liu, Hang Chang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Machine Learning in Multimodal Medical Imaging

Weidong Cai, Hang Chang, Zexuan Ji, 2017, BioMed research international.

Adapting fisher vectors for histopathology image classification

Ju Jia Zou, Hang Chang, Weidong Cai, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Stacked Predictive Sparse Decomposition for Classification of Histology Sections

P. Spellman, B. Parvin, A. Borowsky, 2015, International Journal of Computer Vision.

Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma

Bahram Parvin, Hang Chang, Alexander Borowsky, 2016, MICCAI.

Nuclei segmentation via sparsity constrained convolutional regression

Bahram Parvin, Kenneth E. Barner, Hang Chang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme

Bahram Parvin, Kai Zhang, Hang Chang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Erratum: Stiffness of the microenvironment upregulates ERBB2 expression in 3D cultures of MCF10A within the range of mammographic density

Ju Han, G. Fontenay, B. Parvin, 2016, Scientific Reports.

Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set

Bahram Parvin, Quan Wen, Hang Chang, 2015, Pattern Recognit..

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme

Bahram Parvin, Hang Chang, Paul T. Spellman, 2012, IEEE Transactions on Biomedical Engineering.

Structural annotation of em images by graph cut

Bahram Parvin, Hang Chang, Manfred Auer, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation of heterogeneous blob objects through voting and level set formulation

Qing Yang, Bahram Parvin, Hang Chang, 2007, Pattern Recognit. Lett..

Scoring histological sections through immunohistochemistry

Hang Chang, Thea D. Tlsty, Rosa Anna DeFilippis, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation

Weidong (Tom) Cai, Mei Chen, Hang Chang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Integrated profiling of cell surface protein and nuclear marker for discriminant analysis

Bahram Parvin, Hang Chang, Ju Han, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Batch-invariant nuclear segmentation in whole mount histology sections

Bahram Parvin, Hang Chang, Alexander Borowsky, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification

Heng Huang, Hang Chang, Weidong Cai, 2017, MICCAI.

Iterative Voting for Inference of Structural Saliency and Characterization of Subcellular Events

Qing Yang, Bahram Parvin, Hang Chang, 2007, IEEE Transactions on Image Processing.

Integrated profiling of three dimensional cell culture models and 3D microscopy

Bahram Parvin, Hang Chang, Sun Kim, 2013, Bioinform..

NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images

Daniel Jiménez Sánchez, M. Ariz, X. Matías-Guiu, 2022, Medical Image Anal..

Multiscale iterative voting for differential analysis of stress response for 2D and 3D cell culture models

Ju Han, G. Fontenay, B. Parvin, 2011, Journal of microscopy.

Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma

Ju Han, B. Parvin, A. Borowsky, 2016, MICCAI.

ACSiamRPN: Adaptive Context Sampling for Visual Object Tracking

Hang Chang, Yipeng Zhang, Hao Lu, 2020, Electronics.

When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections☆

Bahram Parvin, Hang Chang, Alexander Borowsky, 2017, Medical Image Anal..

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

Ju Han, A. Snijders, J. Mao, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.