| The association between dietary patterns, diabetes and depression JF Dipnall, JA Pasco, D Meyer, M Berk, LJ Williams, S Dodd, FN Jacka Journal of affective disorders 174, 215-224, 2015 | 127 | 2015 |
| Fusing data mining, machine learning and traditional statistics to detect biomarkers associated with depression JF Dipnall, JA Pasco, M Berk, LJ Williams, S Dodd, FN Jacka, D Meyer PloS one 11 (2), e0148195, 2016 | 99 | 2016 |
| Multi-label few/zero-shot learning with knowledge aggregated from multiple label graphs J Lu, L Du, M Liu, J Dipnall arXiv preprint arXiv:2010.07459, 2020 | 39 | 2020 |
| Into the bowels of depression: unravelling medical symptoms associated with depression by applying machine-learning techniques to a community based population sample JF Dipnall, JA Pasco, M Berk, LJ Williams, S Dodd, FN Jacka, D Meyer PLoS One 11 (12), e0167055, 2016 | 37 | 2016 |
| Fine particulate matter exposure and medication dispensing during and after a coal mine fire: A time series analysis from the Hazelwood Health Study AL Johnson, JF Dipnall, M Dennekamp, GJ Williamson, CX Gao, ... Environmental Pollution 246, 1027-1035, 2019 | 32 | 2019 |
| A mixed-methods study of psychological distress following an environmental catastrophe: the case of the Hazelwood open-cut coalmine fire in Australia D Maybery, R Jones, JF Dipnall, E Berger, T Campbell, A McFarlane, ... Anxiety, Stress, & Coping 33 (2), 216-230, 2020 | 30 | 2020 |
| Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM) JF Dipnall, JA Pasco, M Berk, LJ Williams, S Dodd, FN Jacka, D Meyer European Psychiatry 39, 40-50, 2017 | 28 | 2017 |
| An exploration of pain documentation for people living with dementia in aged care services SM Andrews, JF Dipnall, R Tichawangana, KJ Hayes, JA Fitzgerald, ... Pain Management Nursing 20 (5), 475-481, 2019 | 23 | 2019 |
| Coal-mine fire-related fine particulate matter and medical-service utilization in Australia: a time-series analysis from the Hazelwood Health Study AL Johnson, CX Gao, M Dennekamp, GJ Williamson, MTC Carroll, ... International Journal of Epidemiology 49 (1), 80-93, 2020 | 22 | 2020 |
| Data Integration Protocol In Ten-steps (DIPIT): A new standard for medical researchers JF Dipnall, M Berk, FN Jacka, LJ Williams, S Dodd, JA Pasco Methods 69 (3), 237-246, 2014 | 19 | 2014 |
| The potential for bike riding across entire cities: quantifying spatial variation in interest in bike riding L Pearson, J Dipnall, B Gabbe, S Braaf, S White, M Backhouse, B Beck Journal of Transport & Health 24, 101290, 2022 | 18 | 2022 |
| A novel way to quantify schizophrenia symptoms in clinical trials ON Medvedev, M Berk, OM Dean, E Brown, MH Sandham, JF Dipnall, ... European Journal of Clinical Investigation 51 (3), e13398, 2021 | 14 | 2021 |
| Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling JF Dipnall, JA Pasco, M Berk, LJ Williams, S Dodd, FN Jacka, D Meyer Australian & New Zealand Journal of Psychiatry 51 (11), 1121-1133, 2017 | 14 | 2017 |
| Predictors of health-related quality of life following injury in childhood and adolescence: a pooled analysis JF Dipnall, FP Rivara, RA Lyons, S Ameratunga, M Brussoni, FE Lecky, ... Injury prevention 28 (4), 301-310, 2022 | 12 | 2022 |
| Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text JF Dipnall, J Lu, BJ Gabbe, F Cosic, E Edwards, R Page, L Du European journal of radiology 153, 110366, 2022 | 11 | 2022 |
| How do Australian coaches train fast bowlers? A survey on physical conditioning and workload management practices for training fast bowlers N Soomro, D Hackett, J Freeston, P Blanch, A Kountouris, J Dipnall, ... International Journal of Sports Science & Coaching 13 (5), 761-770, 2018 | 9 | 2018 |
| Validating injury burden estimates using population birth cohorts and longitudinal cohort studies of injury outcomes: the VIBES-Junior study protocol BJ Gabbe, JF Dipnall, JW Lynch, FP Rivara, RA Lyons, S Ameratunga, ... BMJ open 8 (8), e024755, 2018 | 9 | 2018 |
| Impact of exposure to mine fire emitted PM2. 5 on ambulance attendances: A time series analysis from the Hazelwood Health Study CX Gao, C Dimitriadis, J Ikin, JF Dipnall, R Wolfe, MR Sim, K Smith, ... Environmental research 196, 110402, 2021 | 8 | 2021 |
| Examining the use of different sample types following decomposition to estimate year of death using bomb pulse dating E Johnstone-Belford, SJ Fallon, JF Dipnall, S Blau Journal of Forensic and Legal Medicine 85, 102275, 2022 | 7 | 2022 |
| Identifying clusters of health symptoms in deployed military personnel and their relationship with probable PTSD K Graham, J Dipnall, M Van Hooff, E Lawrence-Wood, A Searle, AMF Ao Journal of Psychosomatic Research 127, 109838, 2019 | 7 | 2019 |
