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Entropy (Basel, Switzerland)|June 26, 2026
Information Geometry and Asymptotic Theory for SMML EstimatorsEnes Makalic, Daniel F SchmidtBreast Cancer Research : BCR|August 30, 2012
Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family RegistryGillian S Dite, Enes Makalic, Daniel F Schmidt, et al.Entropy (Basel, Switzerland)|November 27, 2021
Minimum Message Length Inference of the Exponential Distribution with Type I CensoringEnes Makalic, Daniel Francis SchmidtOphthalmology|November 15, 2012
Variants in the VEGFA gene and treatment outcome after anti-VEGF treatment for neovascular age-related macular degenerationFarshad Abedi, Sanjeewa Wickremasinghe, Andrea J Richardson, et al.Health Information Science and Systems|April 15, 2015
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association StudiesBenjamin Goudey, Mani Abedini, John L Hopper, et al.Medical Image Analysis|September 19, 2025
Non-iterative and uncertainty-aware MRI-based liver fat estimation using an unsupervised deep learning methodJuan P Meneses, Cristian Tejos, Enes Makalic, et al.PLOS Global Public Health|January 3, 2024
Outcomes of possible and probable rheumatic fever: A cohort study using northern Australian register data, 2013-2019Laura Goddard, Mirjam Kaestli, Enes Makalic, et al.Journal of Clinical Medicine|March 1, 2020
Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer RiskJohn L Hopper, Tuong L Nguyen, Daniel F Schmidt, et al.International Journal of Epidemiology|April 17, 2018
An open-source, integrated pedigree data management and visualization tool for genetic epidemiologyThilina Ranaweera, Enes Makalic, John L Hopper, et al.Briefings in Bioinformatics|August 13, 2025
A survey on deep learning for polygenic risk scoresMax Schuran, Benjamin Goudey, Gillian S Dite, et al.Pageof 12