Dynamic signature for a closed-set identification based on nonlinear analysis. - David Ahmedt-Aristizabal; Edilson Delgado-Trejos; Jesús Francisco Vargas-Bonilla; Jorge Alberto Jaramillo-Garzón (IJCB, 2011)

Deep Classification of Epileptic Signals. - David Ahmedt-Aristizabal; Clinton Fookes; Kien Nguyen 001; Sridha Sridharan (EMBC, 2018)

Deep Motion Analysis for Epileptic Seizure Classification. - David Ahmedt-Aristizabal; Kien Nguyen 001; Simon Denman; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (EMBC, 2018)

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective. - David Ahmedt-Aristizabal; Kien Nguyen 001; Simon Denman; M. Saquib Sarfraz; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (EMBC, 2019)

Motion Signatures for the Analysis of Seizure Evolution in Epilepsy. - David Ahmedt-Aristizabal; M. Saquib Sarfraz; Simon Denman; Kien Nguyen 001; Clinton Fookes; Sasha Dionisio; Rainer Stiefelhagen (EMBC, 2019)

A Vision-based System for Breathing Disorder Identification: A Deep Learning Perspective. - Manuel Martínez 001; David Ahmedt-Aristizabal; Tilman Väth; Clinton Fookes; Andreas Benz; Rainer Stiefelhagen (EMBC, 2019)

Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach. - Akila Pemasiri; David Ahmedt-Aristizabal; Kien Nguyen 001; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (ISBI, 2019)

Neural Memory Plasticity for Anomaly Detection. - Tharindu Fernando; Simon Denman; David Ahmedt-Aristizabal; Sridha Sridharan; Kristin R. Laurens; Patrick J. Johnston; Clinton Fookes (CoRR, 2019)

Neural Memory Networks for Robust Classification of Seizure Type. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (CoRR, 2019)

Understanding Patients' Behavior: Vision-Based Analysis of Seizure Disorders. - David Ahmedt-Aristizabal; Simon Denman; Kien Nguyen 001; Sridha Sridharan; Sasha Dionisio; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2019)

Attention Networks for Multi-Task Signal Analysis. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (EMBC, 2020)

Neural Memory Networks for Seizure Type Classification. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Lars Petersson; Matthew J. Aburn; Clinton Fookes (EMBC, 2020)

Neural memory plasticity for medical anomaly detection. - Tharindu Fernando; Simon Denman; David Ahmedt-Aristizabal; Sridha Sridharan; Kristin R. Laurens; Patrick J. Johnston; Clinton Fookes (Neural Networks, 2020)

Video-Based Inpatient Fall Risk Assessment: A Case Study. - Ziqing Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

Towards Interpretable Attention Networks for Cervical Cancer Analysis. - Ruiqi Wang; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (EMBC, 2021)

The CSIRO Crown-of-Thorn Starfish Detection Dataset. - Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Nic Heaney; Karl von Richter; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Mohammad Ali Armin; et al. (CoRR, 2021)

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Sensors, 2021)

Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses. - David Ahmedt-Aristizabal; Tharindu Fernando; Simon Denman; Jonathan Edward Robinson; Sridha Sridharan; Patrick J. Johnston; Kristin R. Laurens; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2021)

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. - Ting Cao; Mohammad Ali Armin; Simon Denman; Lars Petersson; David Ahmedt-Aristizabal (ISBI, 2022)

In-situ data curation: a key to actionable AI at the edge. - Brano Kusy; Jiajun Liu; Aninda Saha; Yang Li 184; Ross Marchant; Jeremy Oorloff; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Brendan Do; Joey Crosswell; Russel Babcock; Andy Steven 001; et al. (MobiCom, 2022)

A real-time edge-AI system for reef surveys. - Yang Li 184; Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Jeremy Oorloff; Peyman Moghadam; et al. (MobiCom, 2022)

A survey on graph-based deep learning for computational histopathology. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Simon Denman; Clinton Fookes; Lars Petersson (Comput. Medical Imaging Graph., 2022)

Vision-Based Activity Recognition in Children with Autism-Related Behaviors. - Pengbo Wei; David Ahmedt-Aristizabal; Harshala Gammulle; Simon Denman; Mohammad Ali Armin (CoRR, 2022)

Automated Coronary Arteries Labeling Via Geometric Deep Learning. - Yadan Li; Mohammad Ali Armin; Simon Denman; David Ahmedt-Aristizabal (ISBI, 2023)

Deep Learning Approaches for Seizure Video Analysis: A Review. - David Ahmedt-Aristizabal; Mohammad Ali Armin; Zeeshan Hayder; Norberto Garcia-Cairasco; Lars Petersson; Clinton Fookes; Simon Denman; Aileen McGonigal (CoRR, 2023)

Continuous Human Action Recognition for Human-machine Interaction: A Review. - Harshala Gammulle; David Ahmedt-Aristizabal; Simon Denman; Lachlan Tychsen-Smith; Lars Petersson; Clinton Fookes (ACM Comput. Surv., 2023)

Privacy-Preserving in-bed pose monitoring: A fusion and reconstruction study. - Thisun Dayarathna; Thamidu Muthukumarana; Yasiru Rathnayaka; Simon Denman; Chathura de Silva; Akila Pemasiri; David Ahmedt-Aristizabal (Expert Syst. Appl., 2023)

Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. - David Ahmedt-Aristizabal; Chuong Nguyen; Lachlan Tychsen-Smith; Ashley Stacey; Shenghong Li 002; Joseph Pathikulangara; Lars Petersson; Dadong Wang (Comput. Methods Programs Biomed., 2023)

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. - Sam Cantrill; David Ahmedt-Aristizabal; Lars Petersson; Hanna Suominen; Mohammad Ali Armin (CVPR Workshops, 2024)

HashPoint: Accelerated Point Searching and Sampling for Neural Rendering. - Jiahao Ma; Miaomiao Liu 001; David Ahmedt-Aristizabal; Chuong Nguyen (CVPR, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

NeRF Director: Revisiting View Selection in Neural Volume Rendering. - Wenhui Xiao; Rodrigo Santa Cruz; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CVPR, 2024)

Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation. - Rahm Ranjan; David Ahmedt-Aristizabal; Mohammad Ali Armin; Juno Kim (DICTA, 2024)

Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. - Miaohua Zhang; Rodrigo Santa Cruz; Yulia Arzhaeva; Xun Li; Brendan Do; Jeremy Oorloff; Mohammad Ali Armin; Zeeshan Hayder; David Ahmedt-Aristizabal (DICTA, 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - Léo Lebrat; Rodrigo Santa Cruz; Remi Chierchia; Yulia Arzhaeva; Mohammad Ali Armin; Joshua Goldsmith; Jeremy Oorloff; Prithvi Reddy; Chuong Nguyen; Lars Petersson; Michelle Barakat-Johnson; Georgina Luscombe; et al. (ISBI, 2024)

Continual Test-time Domain Adaptation via Dynamic Sample Selection. - Yanshuo Wang; Jie Hong; Ali Cheraghian; Shafin Rahman; David Ahmedt-Aristizabal; Lars Petersson; Mehrtash Harandi (WACV, 2024)

An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation. - David Ahmedt-Aristizabal; Daniel Smith; Muhammad Rizwan Khokher; Xun Li; Adam L. Smith; Lars Petersson; Vivien Rolland; Everard J. Edwards (IEEE Access, 2024)

Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. - Abdullah Al Mamun; David Ahmedt-Aristizabal; Miaohua Zhang; Md Ismail Hossen; Zeeshan Hayder; Mohammad Awrangjeb (IEEE Access, 2024)

SOAF: Scene Occlusion-aware Neural Acoustic Field. - Huiyu Gao; Jiahao Ma; David Ahmedt-Aristizabal; Chuong Nguyen; Miaomiao Liu 001 (CoRR, 2024)

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos. - Remi Chierchia; Léo Lebrat; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Rodrigo Santa Cruz (WACV, 2025)

Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. - Feng Xu; David Ahmedt-Aristizabal; Lars Petersson; Dadong Wang; Xun Li (WACV, 2025)

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset. - Rahm Ranjan; David Ahmedt-Aristizabal; Mohammad Ali Armin; Juno Kim (IEEE Access, 2025)

Neural Radiance Fields for the Real World: A Survey. - Wenhui Xiao; Remi Chierchia; Rodrigo Santa Cruz; Xuesong Li 001; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CoRR, 2025)

ConMamba: Contrastive Vision Mamba for Plant Disease Detection. - Abdullah Al Mamun; Miaohua Zhang; David Ahmedt-Aristizabal; Zeeshan Hayder; Mohammad Awrangjeb (CoRR, 2025)

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction. - Jiahao Ma; Lei Wang 108; Miaomiao Liu 001; David Ahmedt-Aristizabal; Chuong Nguyen (CoRR, 2025)

DCHM: Depth-Consistent Human Modeling for Multiview Detection. - Jiahao Ma; Tianyu Wang; Miaomiao Liu 001; David Ahmedt-Aristizabal; Chuong Nguyen (CoRR, 2025)