Author

Qibing Jiang

University of Central Florida

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Ken H. Shain· 2 shared Mark B. MeadsiD· 2 shared Praneeth Reddy SudalaguntaiD· 2 shared Wei ZhangiD· 2 shared Alexandra Achille· 1 shared Ariosto Silva· 1 shared Ariosto Siqueira SilvaiD· 1 shared David R. Noyes· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Ken H. Shain

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

TLCellClassifier: Machine Learning Based Cell Classification for Bright-Field Time-Lapse Images

Qibing Jiang, Praneeth Reddy Sudalagunta, Mark B. Meads, Xiaohong Zhao, Alexandra Achille, David R. Noyes, Maria Silva, Rafael Renatino Canevarolo, Ken H. Shain, Ariosto Silva, Wei Zhang

TLCellClassifier improves cell detection, tracking, and classification in time-lapse images using CNN, metric learning, and LSTM, outperforming existing tools in accuracy and efficiency.

bioRxiv · Jun 11, 2024 · PreprintCancer Biology

An Advanced Framework for Time-lapse Microscopy Image Analysis

Qibing Jiang, Praneeth Reddy Sudalagunta, Mark B. Meads, Khandakar Tanvir Ahmed, Tara L. Rutkowski, Ken H. Shain, Ariosto Siqueira Silva, Wei Zhang

The paper introduces a computational pipeline for analyzing large-scale time-lapse microscopy data to predict cancer drug response in patient-specific contexts.

bioRxiv · Sep 21, 2020 · PreprintBioinformatics