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Journal Articles
- 2024
[j5]Jun Cao
, Lichao Yang, Ptolemaios G. Sarrigiannis, Daniel Blackburn, Yifan Zhao:
Dementia classification using a graph neural network on imaging of effective brain connectivity. Comput. Biol. Medicine 168: 107701 (2024)- 2022
- [j4]Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. IEEE J. Biomed. Health Informatics 26(3): 992-1000 (2022) - 2021
- [j3]Jun Cao, Kacper Grajcar, Xiaocai Shan, Yifan Zhao, Jiaru Zou, Liangyu Chen, Zhiqing Li, Richard Grunewald, Panagiotis Zis, Matteo De Marco, Zoe C. Unwin, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity. Biomed. Signal Process. Control. 67: 102554 (2021) - 2020
- [j2]Yifan Zhao, Yitian Zhao, Pholpat Durongbhan, Liangyu Chen, Jiang Liu, S. A. Billings, Panagiotis Zis, Zoe C. Unwin, Matteo De Marco, Annalena Venneri, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer's Disease. IEEE Trans. Medical Imaging 39(5): 1571-1581 (2020) - 2019
- [j1]Bahman Mirheidari, Daniel Blackburn, Traci Walker, Markus Reuber, Heidi Christensen:
Dementia detection using automatic analysis of conversations. Comput. Speech Lang. 53: 65-79 (2019)
Conference and Workshop Papers
- 2023
- [c20]Bahman Mirheidari, Ronan O'Malley, Daniel Blackburn, Heidi Christensen:
Identifying People with Mild Cognitive Impairment at Risk of Developing Dementia using Speech Analysis. ASRU 2023: 1-6 - [c19]Fatimah Alzahrani, Bahman Mirheidari, Daniel Blackburn, Steve Maddock, Heidi Christensen:
Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data. FG 2023: 1-8 - [c18]Vitaveska Lanfranchi, Muhammad Fadlian, Sheeba G. A. Koilpillai, Lise Sproson, Mark Burke, Sam Chapman, Daniel Blackburn:
Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study. HCI (39) 2023: 263-274 - 2022
- [c17]Dominik Klepl, Fei He, Min Wu, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. EMBC 2022: 305-308 - [c16]Bahman Mirheidari, Daniel Blackburn, Heidi Christensen:
Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores. INTERSPEECH 2022: 2463-2467 - [c15]Samuel Hollands, Daniel Blackburn, Heidi Christensen:
Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation. INTERSPEECH 2022: 3958-3962 - 2021
- [c14]Fatimah Alzahrani, Bahman Mirheidari, Daniel Blackburn, Steve Maddock, Heidi Christensen:
Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data. ACII 2021: 1-8 - [c13]Yilin Pan, Venkata Srikanth Nallanthighal, Daniel Blackburn, Heidi Christensen, Aki Härmä:
Multi-Task Estimation of Age and Cognitive Decline from Speech. ICASSP 2021: 7258-7262 - [c12]Bahman Mirheidari, Yilin Pan, Daniel Blackburn, Ronan O'Malley, Heidi Christensen:
Identifying Cognitive Impairment Using Sentence Representation Vectors. Interspeech 2021: 2941-2945 - [c11]Yilin Pan, Bahman Mirheidari, Jennifer M. Harris, Jennifer C. Thompson, Matthew Jones, Julie S. Snowden, Daniel Blackburn, Heidi Christensen:
Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech. Interspeech 2021: 3810-3814 - [c10]Dalia Attas, Bahman Mirheidari, Daniel Blackburn, Annalena Venneri, Traci Walker, Kirsty Harkness, Markus Reuber, Chris Blackmore, Heidi Christensen:
Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms. SAI (3) 2021: 58-69 - 2020
- [c9]Nicholas Cummins, Yilin Pan, Zhao Ren, Julian Fritsch, Venkata Srikanth Nallanthighal, Heidi Christensen, Daniel Blackburn, Björn W. Schuller, Mathew Magimai-Doss, Helmer Strik, Aki Härmä:
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH 2020: 2182-2186 - [c8]Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Annalena Venneri, Traci Walker, Markus Reuber, Heidi Christensen:
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation. INTERSPEECH 2020: 2527-2531 - [c7]Yilin Pan, Bahman Mirheidari, Zehai Tu, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Daniel Blackburn, Heidi Christensen:
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification. INTERSPEECH 2020: 4806-4810 - [c6]Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen:
Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction. INTERSPEECH 2020: 4961-4965 - 2019
- [c5]Bahman Mirheidari, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen:
Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia. ICASSP 2019: 2732-2736 - [c4]Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen:
Automatic Hierarchical Attention Neural Network for Detecting AD. INTERSPEECH 2019: 4105-4109 - 2018
- [c3]Bahman Mirheidari, Daniel Blackburn, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen:
Detecting Signs of Dementia Using Word Vector Representations. INTERSPEECH 2018: 1893-1897 - 2017
- [c2]Bahman Mirheidari, Daniel Blackburn, Kirsty Harkness, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen:
An Avatar-Based System for Identifying Individuals Likely to Develop Dementia. INTERSPEECH 2017: 3147-3151 - 2016
- [c1]Bahman Mirheidari, Daniel Blackburn, Markus Reuber, Traci Walker, Heidi Christensen:
Diagnosing People with Dementia Using Automatic Conversation Analysis. INTERSPEECH 2016: 1220-1224
Informal and Other Publications
- 2023
- [i4]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. CoRR abs/2304.05874 (2023) - 2021
- [i3]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Matteo De Marco, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis. CoRR abs/2102.09882 (2021) - 2020
- [i2]Bahman Mirheidari, Yilin Pan, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen:
Data augmentation using generative networks to identify dementia. CoRR abs/2004.05989 (2020) - 2019
- [i1]Bahman Mirheidari, Yilin Pan, Traci Walker, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen:
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. CoRR abs/1910.00515 (2019)
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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