Keith C. Cheng

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 9

Top Topics

Image Synthesis

Specular Reflection

Supervised Machine Learning

Sample Selection

Top Venues

Medical Image Anal.

Publications

Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Rivière, Keith C. Cheng, Sharon X. Huang
Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss. Comput. Methods Programs Biomed. 242 (2023)
Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis. CoRR (2021)
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 (2021)
Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Riviere, Xiaolei Huang, Keith C. Cheng
Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains. ISBI (2021)
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. Medical Image Anal. 67 (2021)
Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis. MICCAI (8) (2021)
Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang
Synthetic Sample Selection via Reinforcement Learning. MICCAI (1) (2020)
Samarth Gupta, Yuan Xue, Yifu Ding, Daniel Vanselow, Maksim Yakovlev, Damian B. van Rossum, Sharon X. Huang, Keith C. Cheng
Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang
Synthetic Sample Selection via Reinforcement Learning. CoRR (2020)
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)
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang
SHIRAZ: an automated histology image annotation system for zebrafish phenomics. Multim. Tools Appl. 51 (2) (2011)
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)
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)
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang, Yanxi Liu
Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns. CIVR (2008)
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang, Yanxi Liu
Automatic lattice detection in near-regular histology array images. ICIP (2008)
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)