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2020 – today
- 2024
[c4]Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu:
PD-L1 Expression Prediction Using Scalable Multi Instance Transformer. CMMCA@MICCAI 2024: 61-69- [c3]Maliazurina B. Saad
, Qasem Al-Tashi, Lingzhi Hong, Wentao Li, Shenduo Li, John V. Heymach, Yanyan Lou, Natalie I. Vokes, Jianjun Zhang, Jia Wu:
Estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy. CMMCA@MICCAI 2024: 90-98 - 2023
- [j5]Ruoxing Li, Mehmet Altan, Alexandre Reuben, Ruitao Lin, John V. Heymach, Hai Tran, Runzhe Chen, Latasha Little, Shawna Hubert, Jianjun Zhang, Ziyi Li:
A novel statistical method for decontaminating T-cell receptor sequencing data. Briefings Bioinform. 24(4) (2023) - [j4]Qasem Al-Tashi, Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al-Lazikani, Christopher Gibbons, Natalie I. Vokes, Jianjun Zhang, J. Jack Lee, John V. Heymach, David A. Jaffray, Seyedali Mirjalili, Jia Wu:
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers. Patterns 4(8): 100777 (2023) - 2022
- [c2]Pingjun Chen, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu:
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. CMMCA@MICCAI 2022: 1-10 - 2021
- [j3]Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David A. Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li:
Radiological tumour classification across imaging modality and histology. Nat. Mach. Intell. 3(9): 787-798 (2021) - [j2]Tianshi Lu, Ze Zhang, James Zhu, Yunguan Wang, Peixin Jiang, Xue Xiao, Chantale Bernatchez, John V. Heymach, Don L. Gibbons, Jun Wang, Lin Xu, Alexandre Reuben, Tao Wang:
Deep learning-based prediction of the T cell receptor-antigen binding specificity. Nat. Mach. Intell. 3(10): 864-875 (2021)
2010 – 2019
- 2015
- [j1]Pan Tong, Kevin R. Coombes, Faye M. Johnson, Lauren A. Byers, Lixia Diao, Diane D. Liu, J. Jack Lee, John V. Heymach, Jing Wang:
drexplorer: A tool to explore dose-response relationships and drug-drug interactions. Bioinform. 31(10): 1692-1694 (2015) - 2012
- [c1]Karl B. Gregory, Kevin R. Coombes, Amin A. Momin, Luc Girard, Lauren A. Byers, Steven Lin, Michael Peyton, John V. Heymach, John D. Minna, Veerabhadran Baladandayuthapani:
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. GENSiPS 2012: 130-134
Coauthor Index
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