Dr Jason Li
Honorary (Senior Fellow)
The Sir Peter MacCallum Department of Oncology
127 Scholarly works
3 Projects
HIGHLIGHTS
2024
Research grants (other domestic)
Artificial Intelligence Based Surgical Risk Calculator for Cancer Surgery: The ANCHOR Project \2013 Phase 2.
2024
Research grants (other domestic)
Next-Generation Radiotherapy Treatment Planning With Artificial Intelligence
2019
Journal article
Dynamic molecular monitoring reveals that SWI–SNF mutations mediate resistance to ibrutinib plus venetoclax in mantle cell lymphoma
DOI: 10.1038/s41591-018-0243-z2018
Research grants (other domestic)
Targeting Dysregulated Gene Expression in Haematological Cancers With Cdk9 Inhibitors
2016
Journal article
Pericytes promote malignant ovarian cancer progression in mice and predict poor prognosis in serous ovarian cancer patients
DOI: 10.1158/1078-0432.CCR-15-19312015
Journal article
Altered significance of D'Amico risk classification in patients with prostate cancer linked to a familial breast cancer (kConFab) cohort
DOI: 10.1111/bju.127922014
Journal article
The Architecture and Evolution of Cancer Neochromosomes
DOI: 10.1016/j.ccell.2014.09.010
RECENT SCHOLARLY WORKS
2026
Journal article
A deep learning approach for predicting linear accelerator output settings in automated radiotherapy planning of oligometastatic cancer
DOI: 10.1016/j.phro.2025.1008902025
Journal article
A covalent inhibitor targeting Cys16 on RhoA in colorectal cancer
DOI: 10.1016/j.chembiol.2025.08.0042025
Journal article
Single- versus multi-model in the deep learning prediction of monitor units per control point for automated treatment planning in prostate cancer
DOI: 10.1002/acm2.702292025
Journal article
Prospective Isolation According to Melanin Pigment Content of Melanoma Cells With Heterogeneous Potentials for Disease Propagation
DOI: 10.1111/pcmr.700112025
Journal article
macpie: Scalable workflow for high-throughput transcriptomic profiling
DOI: 10.1016/j.csbj.2025.11.0022025
Journal article
Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays
DOI: 10.1186/s13040-025-00489-y2025
Journal article
Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment
DOI: 10.1016/j.ejmp.2025.1050182024
Journal article
Annotation-efficient deep learning for breast cancer whole-slide image classification using tumour infiltrating lymphocytes and slide-level labels
DOI: 10.1038/s44172-024-00246-9