Overview
Availability
- Dr James Lefevre is:
- Available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Works
Search Professor James Lefevre’s works on UQ eSpace
2025
Book Chapter
From Block Designs to Codes to Crypto and Back Again
Donovan, Diane, Lefevre, James and Yazıcı, E. Şule (2025). From Block Designs to Codes to Crypto and Back Again. Lecture Notes in Computer Science. (pp. 25-43) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-83490-5_2
2024
Journal Article
Pyroptotic cell corpses are crowned with F-actin-rich filopodia that engage CLEC9A signaling in incoming dendritic cells
Holley, Caroline L., Monteleone, Mercedes, Fisch, Daniel, Libert, Alexandre E. S., Ju, Robert J., Choi, Joon H., Condon, Nicholas D., Emming, Stefan, Crawford, Joanna, Lawrence, Grace M. E. P., Coombs, Jared R., Lefevre, James G., Bajracharya, Rinie, Lahoud, Mireille H., Yap, Alpha S., Hamilton, Nicholas, Stehbens, Samantha J., Kagan, Jonathan C., Ariotti, Nicholas, Burgener, Sabrina S. and Schroder, Kate (2024). Pyroptotic cell corpses are crowned with F-actin-rich filopodia that engage CLEC9A signaling in incoming dendritic cells. Nature Immunology, 26 (1) eaas8995, 1-35. doi: 10.1038/s41590-024-02024-3
2024
Journal Article
An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork
Lawson, Sarah, Donovan, Diane and Lefevre, James (2024). An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork. PLoS One, 19 (10) e0311433, e0311433. doi: 10.1371/journal.pone.0311433
2024
Journal Article
Applying hypergraphs to studies in quantitative biology
Barton, Samuel, Coster, Adelle, Donovan, Diane and Lefevre, James (2024). Applying hypergraphs to studies in quantitative biology. LIFE: International Journal of Health and Life-Sciences, 9, 21-33. doi: 10.20319/lijhls.2024.9.2133
2023
Journal Article
Hypergraphs and centrality measures identifying key features in gene expression data
Barton, Samuel, Broad, Zoe, Ortiz-Barrientos, Daniel, Donovan, Diane and Lefevre, James (2023). Hypergraphs and centrality measures identifying key features in gene expression data. Mathematical Biosciences, 366 109089, 1-14. doi: 10.1016/j.mbs.2023.109089
2021
Journal Article
Non-melanoma skin cancer segmentation for histopathology dataset
Thomas, Simon M., Lefevre, James G., Baxter, Glenn and Hamilton, Nicholas A. (2021). Non-melanoma skin cancer segmentation for histopathology dataset. Data in Brief, 39 107587, 107587. doi: 10.1016/j.dib.2021.107587
2021
Journal Article
Characterization of tissue types in basal cell carcinoma images via generative modeling and concept vectors
Thomas, S. M., Lefevre, J. G., Baxter, G. and Hamilton, N. A. (2021). Characterization of tissue types in basal cell carcinoma images via generative modeling and concept vectors. Computerized Medical Imaging and Graphics, 94 101998, 101998. doi: 10.1016/j.compmedimag.2021.101998
2021
Journal Article
LLAMA: a robust and scalable machine learning pipeline for analysis of large scale 4D microscopy data: analysis of cell ruffles and filopodia
Lefevre, James G., Koh, Yvette W. H., Wall, Adam A., Condon, Nicholas D., Stow, Jennifer L. and Hamilton, Nicholas A. (2021). LLAMA: a robust and scalable machine learning pipeline for analysis of large scale 4D microscopy data: analysis of cell ruffles and filopodia. BMC Bioinformatics, 22 (1) 410, 1-26. doi: 10.1186/s12859-021-04324-z
2021
Journal Article
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer
Thomas, Simon M., Lefevre, James G., Baxter, Glenn and Hamilton, Nicholas A. (2021). Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer. Medical Image Analysis, 68 101915, 101915. doi: 10.1016/j.media.2020.101915
2021
Other Outputs
Demonstration data for LLAMA open source analysis pipeline and visualiser publication
Lefevre, James and Cairncross, Oliver (2021). Demonstration data for LLAMA open source analysis pipeline and visualiser publication. The University of Queensland. (Dataset) doi: 10.14264/3084db2
2019
Journal Article
Nephron progenitor commitment is a stochastic process influenced by cell migration
Lawlor, Kynan T, Zappia, Luke, Lefevre, James, Park, Joo-Seop, Hamilton, Nicholas A, Oshlack, Alicia, Little, Melissa H and Combes, Alexander N (2019). Nephron progenitor commitment is a stochastic process influenced by cell migration. eLife, 8 e41156. doi: 10.7554/elife.41156
2019
Journal Article
Use of surrogate species to cost-effectively prioritize conservation actions
Ward, Michelle, Rhodes, Jonathan R., Watson, James E.M., Lefevre, James, Atkinson, Scott and Possingham, Hugh P. (2019). Use of surrogate species to cost-effectively prioritize conservation actions. Conservation Biology, 34 (3) cobi.13430, 600-610. doi: 10.1111/cobi.13430
2019
Other Outputs
Machine Learning Macropinocytosis
Lefevre, James (2019). Machine Learning Macropinocytosis. The University of Queensland. (Dataset) doi: 10.48610/dc2f523
2018
Journal Article
Branching morphogenesis in the developing kidney 1 is not impacted by nephron formation or integration
Short, Kieran M., Combes, Alexander N., Lisnyak, Valerie, Lefevre, James G., Jones, Lynelle K., Little, Melissa H., Hamilton, Nicholas A. and Smyth, Ian M. (2018). Branching morphogenesis in the developing kidney 1 is not impacted by nephron formation or integration. eLife, 7 e38992. doi: 10.7554/eLife.38992
2017
Journal Article
Branching morphogenesis in the developing kidney is governed by rules that pattern the ureteric tree
Lefevre, James, Short, Kieran M, Lamberton, Timothy O, Michos, Odyssé, Graf, Daniel, Smyth, Ian M and Hamilton, Nicholas A (2017). Branching morphogenesis in the developing kidney is governed by rules that pattern the ureteric tree. Development (Cambridge, England), 144 (23), 4377-4385. doi: 10.1242/dev.153874
2017
Journal Article
Self-organisation after embryonic kidney dissociation is driven via selective adhesion of ureteric epithelial cells
Lefevre, James G., Chiu, Han S., Combes, Alexander N., Vanslambrouck, Jessica M., Ju, Ali, Hamilton, Nicholas A. and Little, Melissa H. (2017). Self-organisation after embryonic kidney dissociation is driven via selective adhesion of ureteric epithelial cells. Development, 144 (6), 1087-1096. doi: 10.1242/dev.140228
2017
Conference Publication
An integrated cell, tissue and whole organ profile of kidney morphogenesis
Combes, Alexander, Lefevre, James, Short, Kieran, Ju, Adler, Georgas, Kylie, Lamberton, Timothy, Cairncross, Oliver, Rumballe, Bree, McMahon, Andrew, Little, Melissa, Hamilton, Nicholas and Smyth, Ian (2017). An integrated cell, tissue and whole organ profile of kidney morphogenesis. 18th International Congress of Developmental Biology, Singapore, 18-22 June 2017. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.mod.2017.04.432
2016
Journal Article
Analysed cap mesenchyme track data from live imaging of mouse kidney development
Lefevre, James G., Combes, Alexander N., Little, Melissa H. and Hamilton, Nicholas A. (2016). Analysed cap mesenchyme track data from live imaging of mouse kidney development. Data in Brief, 9, 149-154. doi: 10.1016/j.dib.2016.08.053
2016
Journal Article
Cap mesenchyme cell swarming during kidney development is influenced by attraction, repulsion, and adhesion to the ureteric tip
Combes, Alexander N., Lefevre, James G., Wilson, Sean, Hamilton, Nicholas A. and Little, Melissa H. (2016). Cap mesenchyme cell swarming during kidney development is influenced by attraction, repulsion, and adhesion to the ureteric tip. Developmental Biology, 418 (2), 297-306. doi: 10.1016/j.ydbio.2016.06.028
2015
Journal Article
A spatially-averaged mathematical model of kidney branching morphogenesis
Zubkov, V. S., Combes, A. N., Short, K. M., Lefevre, J. G., Hamilton, N. A., Smyth, I. M., Little, M. H. and Byrne, H. M. (2015). A spatially-averaged mathematical model of kidney branching morphogenesis. Journal of Theoretical Biology, 379, 24-37. doi: 10.1016/j.jtbi.2015.04.015
Supervision
Availability
- Dr James Lefevre is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
A study of combinatorial problems and their applications
Principal Advisor
-
Doctor Philosophy
Combinatorial Configurations With A Focus on Heffter Arrays and their Applications
Principal Advisor
-
Doctor Philosophy
Assessment of machine learning methods to discover novel models of gene networks to improve genomic prediction for plant breeding
Associate Advisor
Other advisors: Dr Owen Powell, Professor Mark Cooper
-
Doctor Philosophy
Modelling Biological Systems using Mathematical Networks
Associate Advisor
-
Doctor Philosophy
Pure and Applied Applications of Combinatorial Mathematics
Associate Advisor
Other advisors: Professor Daniel Ortiz-Barrientos
-
Doctor Philosophy
Applications of hypergraphs and centrality measures
Associate Advisor
Other advisors: Professor Daniel Ortiz-Barrientos
-
Doctor Philosophy
Applications of hypergraphs and centrality measures
Associate Advisor
Other advisors: Professor Daniel Ortiz-Barrientos
Completed supervision
-
2025
Doctor Philosophy
Applications of hypergraphs and centrality measures
Associate Advisor
Other advisors: Professor Daniel Ortiz-Barrientos
-
2022
Doctor Philosophy
Deep Learning Methods For The Characterisation of Non-Melanoma Skin Cancer
Associate Advisor
-
2010
Doctor Philosophy
On defining sets in latin squares and two intersection problems, one for latin squares and one for Steiner triple systems
Associate Advisor
Media
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