Keith C. Cheng

16 papers B 1Misc 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss.
Comput. Methods Programs Biomed.
Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Rivière, Keith C. Cheng, Sharon X. Huang
2021 — conf
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis.
MICCAI (8)
Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang
2021 J jnl
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis.
CoRR
Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang
2021 J jnl
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification.
CoRR
Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang
2021 J jnl
Selective synthetic augmentation with HistoGAN for improved histopathology image classification.
Medical Image Anal.
Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang
2021 — conf
Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains.
ISBI
Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Rivière, Xiaolei Huang, Keith C. Cheng
2020 — conf
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
Samarth Gupta, Yuan Xue, Yifu Ding, Daniel Vanselow, Maksim Yakovlev, Damian B. van Rossum, Sharon X. Huang, Keith C. Cheng
2020 — conf
Synthetic Sample Selection via Reinforcement Learning.
MICCAI (1)
Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang
2020 J jnl
Synthetic Sample Selection via Reinforcement Learning.
CoRR
Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang
2011 — conf
A Case Study in Using ZFA and PATO for Describing Histological Phenotypes in the Larval Zebrafish.
ICBO
Brian A. Canada, Georgia K. Thomas, Timothy Cooper, Keith C. Cheng
2011 — conf
An Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseases.
ICBO
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
2011 — conf
SHIRAZ and CABERNET: Leveraging Automation, Crowdsourcing, and Ontologies to Improve the Accuracy and Throughput of Zebrafish Histological Phenotype Annotations.
ICBO
Brian A. Canada, Georgia K. Thomas, John Schleicher, James Ze Wang, Keith C. Cheng
2011 J jnl
SHIRAZ: an automated histology image annotation system for zebrafish phenomics.
Multim. Tools Appl.
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang
2008 B conf
Automatic lattice detection in near-regular histology array images.
ICIP
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang, Yanxi Liu
2008 — conf
Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns.
CIVR
Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Ze Wang, Yanxi Liu
2006 Misc conf
QCHARM: A Novel Computational and Scientific Visualization Framework for Facilitating Discovery and Improving Diagnostic Reliability in Medicine.
AMIA
Brian A. Canada, Keith C. Cheng, James Ze Wang