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Keith C. Cheng
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2020 – today
- 2023
- [j3]Amogh Subbakrishna Adishesha
, Daniel J. Vanselow
Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss. Comput. Methods Programs Biomed. 242: 107802 (2023) - 2021
- [j2]Yuan Xue
Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical Image Anal. 67: 101816 (2021) - [c10]Amogh Subbakrishna Adishesha
Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains. ISBI 2021: 140-144 - [c9]Jiarong Ye, Yuan Xue
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis. MICCAI (8) 2021: 613-623 - [i3]Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis. CoRR abs/2111.06398 (2021) - [i2]Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification. CoRR abs/2111.06399 (2021) - 2020
- [c8]Samarth Gupta, Yuan Xue
Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170T - [c7]Jiarong Ye
Synthetic Sample Selection via Reinforcement Learning. MICCAI (1) 2020: 53-63 - [i1]Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang:
Synthetic Sample Selection via Reinforcement Learning. CoRR abs/2008.11331 (2020)
2010 – 2019
- 2011
- [j1]Brian A. Canada, Georgia K. Thomas, Keith C. Cheng
SHIRAZ: an automated histology image annotation system for zebrafish phenomics. Multim. Tools Appl. 51(2): 401-440 (2011) - [c6]Brian A. Canada, Georgia K. Thomas, Timothy Cooper, Keith C. Cheng:
A Case Study in Using ZFA and PATO for Describing Histological Phenotypes in the Larval Zebrafish. ICBO 2011 - [c5]Brian A. Canada, Georgia K. Thomas, John Schleicher, James Ze Wang, Keith C. Cheng:
SHIRAZ and CABERNET: Leveraging Automation, Crowdsourcing, and Ontologies to Improve the Accuracy and Throughput of Zebrafish Histological Phenotype Annotations. ICBO 2011 - [c4]Chris Mungall, David Anderson, Anita E. Bandrowski, Brian A. Canada, Andrew Chatr-aryamontri, Keith C. Cheng, P. Michael Conn, Kara Dolinski, Mark H. Ellisman, Janan T. Eppig, Jeffrey S. Grethe, Joseph W. Kemnitz, Shawn Iadonato, Stephen D. Larson, Charles Magness, Maryann E. Martone, Mike Tyers, Carlo Torniai, Olga G. Troyanskaya, Judith Turner, Monte Westerfield, Melissa A. Haendel:
An Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseases. ICBO 2011
2000 – 2009
- 2008
- [c3]Brian A. Canada, Georgia K. Thomas, Keith C. Cheng
Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns. CIVR 2008: 581-590 - [c2]Brian A. Canada, Georgia K. Thomas, Keith C. Cheng
Automatic lattice detection in near-regular histology array images. ICIP 2008: 1452-1455 - 2006
- [c1]Brian A. Canada, Keith C. Cheng, James Ze Wang:
QCHARM: A Novel Computational and Scientific Visualization Framework for Facilitating Discovery and Improving Diagnostic Reliability in Medicine. AMIA 2006
Coauthor Index
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