By Associate Professor Jason Dowling

Preprints

Boussot V; Hémon C; Nunes J-C; Dowling J; Rouzé S; Lafond C; Barateau A; Dillenseger J-L, 2025, IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration, http://dx.doi.org/10.48550/arxiv.2503.24121

Lynch M; Manoy S; Sly PD; Wainwright C; Wolvetang E; Feenstra J; Dowling J; Ware RS; Patel M; Hermith-Ramirez D; Vogel AP; Preece K; Zappala T; Dai S; Webber A; Yeo A; Sunramanian G; Rao G; Ma CS; Jose S; Gatei M; Xin B; Sandona N; Lewindon P; Sinclair K; Nayler S; Lavin MF; Coman D, 2025, Ataxia-Telangiectasia: Treating Mitochondrial Dysfunction with a Novel Form of Anaplerosis (A-TC7), http://dx.doi.org/10.2139/ssrn.5099303

Moafa K; Antico M; Edwards C; Steffens M; Dowling J; Canty D; Fontanarosa D, 2025, Video-Based CSwin Transformer Using Selective Filtering Technique for Interstitial Syndrome Detection, http://dx.doi.org/10.20944/preprints202507.0329.v1

Nicolson A; Liu J; Dowling J; Nguyen A; Koopman B, 2024, e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation, http://dx.doi.org/10.48550/arxiv.2408.03500

Liu J; Nicolson A; Dowling J; Koopman B; Nguyen A, 2024, e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models, http://dx.doi.org/10.48550/arxiv.2407.02723

Moafa K; Antico M; Vukovic D; Edwards C; Canty D; Serra XC; Royse A; Royse C; Haji K; Dowling J; Steffens M; Fontanarosa D, 2024, Convolutional Automatic Identification of B-lines and Interstitial Syndrome in Lung Ultrasound Images Using Pre-Trained Neural Networks with Feature Fusion, http://dx.doi.org/10.21203/rs.3.rs-4487345/v1

Nicolson A; Zhuang S; Dowling J; Koopman B, 2024, The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It, http://dx.doi.org/10.48550/arxiv.2406.13181

Nicolson A; Dowling J; Koopman B, 2023, Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation, http://dx.doi.org/10.48550/arxiv.2307.09758

Vukovic D; Wang A; Antico M; Steffens M; Ruvinov I; Sloun RJGV; Canty D; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D, 2023, Automatic Deep Learning-Based Pleural Effusion Segmentation in Lung Ultrasound Images, http://dx.doi.org/10.21203/rs.3.rs-2486425/v1

Gillman A; Quah MH; Papoutsellis E; Thielemans K; Bourgeat P; Delplancke C; Mejan-Fripp J; Pasca E; Dowling J, 2023, Anatomically-guided deconvolution of PET using directional total variation regularization, http://dx.doi.org/10.1101/2023.04.23.23289004

Durrani N; Vukovic D; Burgt JVD; Antico M; van Sloun RJGV; CANTY D; Steffens M; Wang A; ROYSE A; ROYSE C; Haji K; Dowling J; Chetty G; Fontanarosa D, 2022, Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia, http://dx.doi.org/10.36227/techrxiv.17912387

Durrani N; Vukovic D; Burgt JVD; Antico M; Sloun RJGV; Canty D; Steffens M; Wang A; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D, 2022, Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia, http://dx.doi.org/10.21203/rs.3.rs-1531881/v1

Nicolson A; Dowling J; Koopman B, 2022, Improving Chest X-Ray Report Generation by Leveraging Warm Starting, http://dx.doi.org/10.48550/arxiv.2201.09405

Dai W; Woo B; Liu S; Marques M; Engstrom CB; Greer PB; Crozier S; Dowling JA; Chandra SS, 2021, CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation, http://dx.doi.org/10.48550/arxiv.2109.05443

Gillman A; Rose S; Smith J; Dowling JA; Dowson N, 2021, A Comparison of Techniques for PET Data-Driven Tracking of Head Motion, http://dx.doi.org/10.21203/rs.3.rs-202051/v1

Liu S; Dowling JA; Engstrom C; Greer PB; Crozier S; Chandra SS, 2020, Manipulating Medical Image Translation with Manifold Disentanglement, http://dx.doi.org/10.48550/arxiv.2011.13615

Cruz RS; Lebrat L; Bourgeat P; Doré V; Dowling J; Fripp J; Fookes C; Salvado O, 2020, Going deeper with brain morphometry using neural networks, http://dx.doi.org/10.48550/arxiv.2009.03303

Liu S; Dai W; Engstrom C; Fripp J; Crozier S; Dowling JA; Chandra SS, 2020, Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation, http://arxiv.org/abs/2006.15578v4

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