Diagnosing People with Dementia Using Automatic Conversation Analysis. - Bahman Mirheidari; Daniel Blackburn; Markus Reuber; Traci Walker; Heidi Christensen (INTERSPEECH, 2016)

An Avatar-Based System for Identifying Individuals Likely to Develop Dementia. - Bahman Mirheidari; Daniel Blackburn; Kirsty Harkness; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (INTERSPEECH, 2017)

Detecting Signs of Dementia Using Word Vector Representations. - Bahman Mirheidari; Daniel Blackburn; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (INTERSPEECH, 2018)

Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia. - Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (ICASSP, 2019)

Automatic Hierarchical Attention Neural Network for Detecting AD. - Yilin Pan; Bahman Mirheidari; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2019)

Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. - Bahman Mirheidari; Yilin Pan; Traci Walker; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (CoRR, 2019)

Dementia detection using automatic analysis of conversations. - Bahman Mirheidari; Daniel Blackburn; Traci Walker; Markus Reuber; Heidi Christensen (Comput. Speech Lang., 2019)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - 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 (INTERSPEECH, 2020)

Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation. - Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Annalena Venneri; Traci Walker; Markus Reuber; Heidi Christensen (INTERSPEECH, 2020)

Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction. - Yilin Pan; Bahman Mirheidari; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2020)

Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification. - Yilin Pan; Bahman Mirheidari; Zehai Tu; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2020)

Data augmentation using generative networks to identify dementia. - Bahman Mirheidari; Yilin Pan; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (CoRR, 2020)

Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer's Disease. - Yifan Zhao 001; Yitian Zhao; Pholpat Durongbhan; Liangyu Chen; Jiang Liu 001; S. A. Billings; Panagiotis Zis; Zoe C. Unwin; Matteo De Marco; Annalena Venneri; Daniel Blackburn; Ptolemaios G. Sarrigiannis (IEEE Trans. Medical Imaging, 2020)

Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data. - Fatimah Alzahrani; Bahman Mirheidari; Daniel Blackburn; Steve Maddock; Heidi Christensen (ACII, 2021)

Multi-Task Estimation of Age and Cognitive Decline from Speech. - Yilin Pan; Venkata Srikanth Nallanthighal; Daniel Blackburn; Heidi Christensen; Aki Härmä (ICASSP, 2021)

Identifying Cognitive Impairment Using Sentence Representation Vectors. - Bahman Mirheidari; Yilin Pan; Daniel Blackburn; Ronan O'Malley; Heidi Christensen (Interspeech, 2021)

Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech. - Yilin Pan; Bahman Mirheidari; Jennifer M. Harris; Jennifer C. Thompson; Matthew Jones; Julie S. Snowden; Daniel Blackburn; Heidi Christensen (Interspeech, 2021)

Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms. - Dalia Attas; Bahman Mirheidari; Daniel Blackburn; Annalena Venneri; Traci Walker; Kirsty Harkness; Markus Reuber; Chris Blackmore; Heidi Christensen (SAI (3), 2021)

Using interictal seizure-free EEG data to recognise patients with epilepsy based on machine learning of brain functional connectivity. - Jun Cao; Kacper Grajcar; Xiaocai Shan; Yifan Zhao 001; Jiaru Zou; Liangyu Chen; Zhiqing Li; Richard Grunewald; Panagiotis Zis; Matteo De Marco; Zoe C. Unwin; Daniel Blackburn; et al. (Biomed. Signal Process. Control., 2021)

Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel Blackburn; Ptolemaios G. Sarrigiannis (EMBC, 2022)

Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation. - Samuel Hollands; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2022)

Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores. - Bahman Mirheidari; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2022)

Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. - Dominik Klepl; Fei He 002; Min Wu 008; Matteo De Marco; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (IEEE J. Biomed. Health Informatics, 2022)

Identifying People with Mild Cognitive Impairment at Risk of Developing Dementia using Speech Analysis. - Bahman Mirheidari; Ronan O'Malley; Daniel Blackburn; Heidi Christensen (ASRU, 2023)

Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data. - Fatimah Alzahrani; Bahman Mirheidari; Daniel Blackburn; Steve Maddock; Heidi Christensen (FG, 2023)

Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study. - Vitaveska Lanfranchi; Muhammad Fadlian; Sheeba G. A. Koilpillai; Lise Sproson; Mark Burke; Sam Chapman; Daniel Blackburn (HCI (39), 2023)

Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. - Dominik Klepl; Fei He 002; Min Wu 008; Daniel J. Blackburn; Ptolemaios G. Sarrigiannis (CoRR, 2023)

Dementia classification using a graph neural network on imaging of effective brain connectivity. - Jun Cao; Lichao Yang; Ptolemaios G. Sarrigiannis; Daniel Blackburn; Yifan Zhao 001 (Comput. Biol. Medicine, 2024)

Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge. - Fuxiang Tao; Bahman Mirheidari; Madhurananda Pahar; Sophie Young; Yao Xiao; Hend Elghazaly; Fritz Peters; Caitlin Illingworth; Dorota Braun; Ronan O'Malley; Simon Bell; Daniel Blackburn; et al. (ICASSP, 2025)

CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech. - Madhurananda Pahar; Fuxiang Tao; Bahman Mirheidari; Nathan Pevy; Rebecca Bright; Swapnil Gadgil; Lise Sproson; Dorota Braun; Caitlin Illingworth; Daniel Blackburn; Heidi Christensen (CoRR, 2025)