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Aaron Nicolson
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2020 – today
- 2024
- [j9]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, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero:
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024) - [c16]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 - [c15]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 - [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) - 2023
- [j8]Aaron Nicolson, Jason Dowling, Bevan Koopman:
Improving chest X-ray report generation by leveraging warm starting. Artif. Intell. Medicine 144: 102633 (2023) - [j7]Qiquan Zhang, Xinyuan Qian, Zhaoheng Ni, Aaron Nicolson, Eliathamby Ambikairajah, Haizhou Li:
A Time-Frequency Attention Module for Neural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 462-475 (2023) - [c14]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 - [c13]Aaron Nicolson, Jason Dowling, Bevan Koopman:
A Concise Model for Medical Image Captioning. CLEF (Working Notes) 2023: 1611-1619 - [c12]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:
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV 2023: 1958-1968 - [i7]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
- [j6]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement. Speech Commun. 142: 49-60 (2022) - [c11]Aaron Nicolson, Jason Dowling, Bevan Koopman:
ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images. CLEF 2022: 190-203 - [c10]Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling:
CSIRO at ImageCLEFmedical Caption 2022. CLEF (Working Notes) 2022: 1455-1473 - [c9]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 - [c8]Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li:
Time-Frequency Attention for Monaural Speech Enhancement. ICASSP 2022: 7852-7856 - [i6]Aaron Nicolson, Jason Dowling, Bevan Koopman:
Improving Chest X-Ray Report Generation by Leveraging Warm-Starting. CoRR abs/2201.09405 (2022) - 2021
- [j5]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement. IEEE Access 9: 64524-64538 (2021) - [j4]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement. IEEE Access 9: 70516-70530 (2021) - [c7]Aaron Nicolson, Jason Dowling, Bevan Koopman:
AEHRC CSIRO at ImageCLEFmed Caption 2021. CLEF (Working Notes) 2021: 1317-1328 - [c6]Qiquan Zhang, Qi Song, Aaron Nicolson, Tian Lan, Haizhou Li:
Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement. Interspeech 2021: 166-170 - [i5]Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li:
Time-Frequency Attention for Monaural Speech Enhancement. CoRR abs/2111.07518 (2021) - 2020
- [j3]Aaron Nicolson, Kuldip K. Paliwal:
Masked multi-head self-attention for causal speech enhancement. Speech Commun. 125: 80-96 (2020) - [j2]Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang:
DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1404-1415 (2020) - [c5]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI 2020: 8552-8559 - [c4]Aaron Nicolson, Kuldip K. Paliwal:
Sum-Product Networks for Robust Automatic Speaker Identification. INTERSPEECH 2020: 1516-1520 - [c3]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
A Deep Learning-Based Kalman Filter for Speech Enhancement. INTERSPEECH 2020: 2692-2696 - [c2]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement. ISCAS 2020: 1-5 - [d4]Aaron Nicolson:
SPN-ASI dataset. IEEE DataPort, 2020 - [d3]Aaron Nicolson:
Deep Xi dataset. IEEE DataPort, 2020 - [d2]Aaron Nicolson:
Test Set From 10.1016/j.specom.2019.06.002. IEEE DataPort, 2020 - [d1]Aaron Nicolson:
Deep Xi Test Set (depreciated, please see Deep Xi dataset). IEEE DataPort, 2020 - [i4]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR abs/2002.12794 (2020) - [i3]Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal:
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio. CoRR abs/2009.02940 (2020)
2010 – 2019
- 2019
- [j1]Aaron Nicolson, Kuldip K. Paliwal:
Deep learning for minimum mean-square error approaches to speech enhancement. Speech Commun. 111: 44-55 (2019) - [i2]Aaron Nicolson, Kuldip K. Paliwal:
Deep Xi as a Front-End for Robust Automatic Speech Recognition. CoRR abs/1906.07319 (2019) - [i1]Aaron Nicolson, Kuldip K. Paliwal:
Sum-Product Networks for Robust Automatic Speaker Recognition. CoRR abs/1910.11969 (2019) - 2018
- [c1]Aaron Nicolson, Kuldip K. Paliwal:
Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations. INTERSPEECH 2018: 1606-1610
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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