Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations. - Aaron Nicolson; Kuldip K. Paliwal (INTERSPEECH, 2018)

Deep Xi as a Front-End for Robust Automatic Speech Recognition. - Aaron Nicolson; Kuldip K. Paliwal (CoRR, 2019)

Sum-Product Networks for Robust Automatic Speaker Recognition. - Aaron Nicolson; Kuldip K. Paliwal (CoRR, 2019)

Deep learning for minimum mean-square error approaches to speech enhancement. - Aaron Nicolson; Kuldip K. Paliwal (Speech Commun., 2019)

Deep Residual-Dense Lattice Network for Speech Enhancement. - Mohammad Nikzad; Aaron Nicolson; Yongsheng Gao 001; Jun Zhou 001; Kuldip K. Paliwal; Fanhua Shang (AAAI, 2020)

Sum-Product Networks for Robust Automatic Speaker Identification. - Aaron Nicolson; Kuldip K. Paliwal (INTERSPEECH, 2020)

A Deep Learning-Based Kalman Filter for Speech Enhancement. - Sujan Kumar Roy; Aaron Nicolson; Kuldip K. Paliwal (INTERSPEECH, 2020)

Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement. - Sujan Kumar Roy; Aaron Nicolson; Kuldip K. Paliwal (ISCAS, 2020)

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio. - Timothy Roberts; Aaron Nicolson; Kuldip K. Paliwal (CoRR, 2020)

Masked multi-head self-attention for causal speech enhancement. - Aaron Nicolson; Kuldip K. Paliwal (Speech Commun., 2020)

DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. - Qiquan Zhang; Aaron Nicolson; Mingjiang Wang; Kuldip K. Paliwal; Chenxu Wang 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Test Set From 10.1016/j.specom.2019.06.002. - Aaron Nicolson (IEEE DataPort, 2020)

SPN-ASI dataset. - Aaron Nicolson (IEEE DataPort, 2020)

Deep Xi dataset. - Aaron Nicolson (IEEE DataPort, 2020)

Deep Xi Test Set (depreciated, please see Deep Xi dataset). - Aaron Nicolson (IEEE DataPort, 2020)

AEHRC CSIRO at ImageCLEFmed Caption 2021. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF (Working Notes), 2021)

Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement. - Qiquan Zhang; Qi Song; Aaron Nicolson; Tian Lan; Haizhou Li 001 (Interspeech, 2021)

DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement. - Sujan Kumar Roy; Aaron Nicolson; Kuldip K. Paliwal (IEEE Access, 2021)

DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement. - Sujan Kumar Roy; Aaron Nicolson; Kuldip K. Paliwal (IEEE Access, 2021)

CSIRO at ImageCLEFmedical Caption 2022. - Léo Lebrat; Aaron Nicolson; Rodrigo Santa Cruz; Gregg Belous; Bevan Koopman; Jason Dowling (CLEF (Working Notes), 2022)

ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF, 2022)

CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach. - Bowen Xin; Hang Min; Ashley G. Gillman; Bevan Koopman; Jason Dowling; Aaron Nicolson (CLEF (Working Notes), 2022)

Time-Frequency Attention for Monaural Speech Enhancement. - Qiquan Zhang; Qi Song; Zhaoheng Ni; Aaron Nicolson; Haizhou Li 001 (ICASSP, 2022)

On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement. - Sujan Kumar Roy; Aaron Nicolson; Kuldip K. Paliwal (Speech Commun., 2022)

e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. - Aaron Nicolson; Jason Dowling; Bevan Koopman (BioNLP@ACL, 2023)

A Concise Model for Medical Image Captioning. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CLEF (Working Notes), 2023)

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. - Joshua Peters; Léo Lebrat; Rodrigo Santa Cruz; Aaron Nicolson; Gregg Belous; Salamata Konate; Parnesh Raniga; Vincent Doré; Pierrick Bourgeat; Jurgen Mejan-Fripp; Clinton Fookes; Olivier Salvado (WACV, 2023)

Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation. - Aaron Nicolson; Jason Dowling; Bevan Koopman (CoRR, 2023)

A Time-Frequency Attention Module for Neural Speech Enhancement. - Qiquan Zhang; Xinyuan Qian 001; Zhaoheng Ni; Aaron Nicolson; Eliathamby Ambikairajah; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Improving chest X-ray report generation by leveraging warm starting. - Aaron Nicolson; Jason Dowling; Bevan Koopman (Artif. Intell. Medicine, 2023)

e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models. - Jinghui Liu; Aaron Nicolson; Jason Dowling; Bevan Koopman; Anthony N. Nguyen (BioNLP@ACL, 2024)

e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation. - Aaron Nicolson; Jinghui Liu; Jason Dowling; Anthony N. Nguyen; Bevan Koopman (BioNLP@ACL, 2024)

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. - Evi M. C. Huijben; Maarten L. Terpstra; Arthur Jr Galapon; Suraj Pai; Adrian Thummerer; Peter Koopmans; Manya Afonso; Maureen A. J. M. van Eijnatten; Oliver J. Gurney-Champion; Zeli Chen; Yiwen Zhang; Kaiyi Zheng; et al. (Medical Image Anal., 2024)

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. - Aaron Nicolson; Shengyao Zhuang; Jason Dowling; Bevan Koopman (ACL (1), 2025)

Anatomical Grounding Pre-Training for Medical Phrase Grounding. - Wenjun Zhang; Shekhar S. Chandra; Aaron Nicolson (ISBI, 2025)