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Jason Dowling
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2020 – today
- 2024
- [j10]Phillip Chlap
, Hang Min, Jason Dowling
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. 116: 102403 (2024) - [c27]Aaron Nicolson, Jinghui Liu, Jason Dowling, Anthony N. Nguyen, Bevan Koopman:
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation. BioNLP@ACL 2024: 99-104 - [c26]Jinghui Liu, Aaron Nicolson, Jason Dowling, Bevan Koopman, Anthony N. Nguyen:
e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models. BioNLP@ACL 2024: 675-684 - [i11]Hang Min, Gorane Santamaria Hormaechea, Prabhakar Ramachandran, Jason Dowling:
Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI. CoRR abs/2406.07813 (2024) - [i10]Aaron Nicolson, Shengyao Zhuang, Jason Dowling, Bevan Koopman:
The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. CoRR abs/2406.13181 (2024) - [i9]Jinghui Liu, Aaron Nicolson, Jason Dowling, Bevan Koopman, Anthony N. Nguyen:
e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models. CoRR abs/2407.02723 (2024) - [i8]Aaron Nicolson, Jinghui Liu, Jason Dowling, Anthony N. Nguyen, Bevan Koopman:
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation. CoRR abs/2408.03500 (2024) - [i7]Bowen Xin, Tony Young, Claire E. Wainwright, Tamara Blake, Léo Lebrat, Thomas Gaass, Thomas Benkert, Alto Stemmer, David Coman, Jason Dowling:
Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. CoRR abs/2408.09432 (2024) - 2023
- [j9]Aaron Nicolson
Improving chest X-ray report generation by leveraging warm starting. Artif. Intell. Medicine 144: 102633 (2023) - [j8]Damjan Vukovic, Andrew Wang, Maria Antico, Marian Steffens, Igor Ruvinov, Ruud J. G. van Sloun, David Canty, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images. BMC Medical Informatics Decis. Mak. 23(1): 274 (2023) - [c25]Aaron Nicolson, Jason Dowling, Bevan Koopman:
e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. BioNLP@ACL 2023: 545-549 - [c24]Aaron Nicolson, Jason Dowling, Bevan Koopman:
A Concise Model for Medical Image Captioning. CLEF (Working Notes) 2023: 1611-1619 - [c23]Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier
Manipulating Medical Image Translation with Manifold Disentanglement. DICTA 2023: 332-339 - [c22]Sze-Nung Leung
Medical Shape Pattern Analysis with MeshCNN. ISBI 2023: 1-5 - [i6]Aaron Nicolson, Jason Dowling, Bevan Koopman:
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation. CoRR abs/2307.09758 (2023) - 2022
- [j7]Shuchao Pang, Matthew Field
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine 123: 102230 (2022) - [j6]Wei Dai
CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Anal. 82: 102562 (2022) - [c21]Aaron Nicolson
ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images. CLEF 2022: 190-203 - [c20]Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling:
CSIRO at ImageCLEFmedical Caption 2022. CLEF (Working Notes) 2022: 1455-1473 - [c19]Bowen Xin, Hang Min, Ashley G. Gillman, Bevan Koopman, Jason Dowling, Aaron Nicolson:
CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach. CLEF (Working Notes) 2022: 1626-1640 - [i5]Aaron Nicolson, Jason Dowling, Bevan Koopman:
Improving Chest X-Ray Report Generation by Leveraging Warm-Starting. CoRR abs/2201.09405 (2022) - 2021
- [c18]Aaron Nicolson, Jason Dowling, Bevan Koopman:
AEHRC CSIRO at ImageCLEFmed Caption 2021. CLEF (Working Notes) 2021: 1317-1328 - [c17]Hilda Chourak, Anaïs Barateau, Eugenia Mylona
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. ISBI 2021: 395-399 - [c16]Rodrigo Santa Cruz
Going Deeper With Brain Morphometry Using Neural Networks. ISBI 2021: 711-715 - [i4]Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra:
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation. CoRR abs/2109.05443 (2021) - 2020
- [i3]Siyu Liu
Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis. CoRR abs/2006.15578 (2020) - [i2]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. CoRR abs/2009.03303 (2020) - [i1]Siyu Liu
Manipulating Medical Image Translation with Manifold Disentanglement. CoRR abs/2011.13615 (2020)
2010 – 2019
- 2019
- [c15]Axel Largent, Jean-Claude Nunes
Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. ISBI 2019: 1109-1113 - 2018
- [j5]Shekhar S. Chandra
A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. 164: 193-205 (2018) - 2017
- [c14]Axel Largent, Jean-Claude Nunes
Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning. EUSIPCO 2017: 46-50 - 2015
- [j4]Soumya Ghose, Lois Holloway
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artif. Intell. Medicine 64(2): 75-87 (2015) - [j3]David Rivest-Hénault, Nicholas D. H. Dowson
Robust inverse-consistent affine CT-MR registration in MRI-assisted and MRI-alone prostate radiation therapy. Medical Image Anal. 23(1): 56-69 (2015) - 2014
- [j2]Geert Litjens
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18(2): 359-373 (2014) - [c13]David Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning. MCV 2014: 105-115 - 2013
- [c12]David Rivest-Hénault, Peter B. Greer
Structure-Guided Nonrigid Registration of CT-MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy. CLIP 2013: 65-73 - [c11]Soumya Ghose, James Denham
Multi-atlas and Gaussian Mixture Modeling Based Perirectal Fat Segmentation from CT Images. Abdominal Imaging 2013: 194-202 - [c10]Soumya Ghose, Lois Holloway
A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. Abdominal Imaging 2013: 290-298 - 2012
- [j1]Shekhar S. Chandra
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging 31(10): 1955-1964 (2012) - 2011
- [c9]Shekhar Chandra
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. DICTA 2011: 7-12 - [c8]Jason Dowling
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images. Prostate Cancer Imaging 2011: 10-21 - [e2]Anant Madabhushi, Jason Dowling, Henkjan J. Huisman, Dean C. Barratt:
Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings. Lecture Notes in Computer Science 6963, Springer 2011, ISBN 978-3-642-23943-4 [contents] - 2010
- [c7]Jason Dowling
Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer. Prostate Cancer Imaging 2010: 25-33 - [c6]Oscar Acosta
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy. Prostate Cancer Imaging 2010: 42-51 - [e1]Anant Madabhushi, Jason Dowling
Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings. Lecture Notes in Computer Science 6367, Springer 2010, ISBN 978-3-642-15988-6 [contents]
2000 – 2009
- 2009
- [c5]Jason Dowling
Nonrigid correction of interleaving artefacts in pelvic MRI. Image Processing 2009: 72592P - 2008
- [c4]Anthony J. Maeder
Assuring Authenticity of Digital Mammograms by Image Watermarking. Digital Mammography / IWDM 2008: 204-211 - 2007
- [c3]Jason Dowling
A Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality. IWDW 2007: 454-466 - 2006
- [c2]Jason Dowling, Wageeh W. Boles, Anthony J. Maeder:
Simulated Artificial Human Vision: The Effects of Spatial Resolution and Frame Rate on Mobility. AMT 2006: 138-143 - 2005
- [c1]Jason Dowling
Mobility assessment using simulated Arti.cial Human Vision. CVPR Workshops 2005: 32
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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