Book Chapter or Section

Ufumaka, Isreal, Alibakhshi, Alireza, Fernandes, Patricia, Abdi, Abas, Hussain, Arshian, Dadashiserej, Nasim, Shun-Shin, Matthew, Francis, Darrel and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2026) Multi-Expert consensus as a label-free quality surrogate for Echocardiographic LV Segmentation. In: Artificial Intelligence in Healthcare. Lecture Notes in Computer Science, 16877. Springer, pp. 235-247.

Alibakhshi, Alireza, Hussain, Arshian, Dadashi Serej, Nasim, Ufumaka, Isreal, Ghasemi, Hadis, Khalili, Hosseinali and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2026) Orthogonal array-based feature selection for traumatic brain injury prognosis: a metaheuristic benchmarking framework. In: Artificial Intelligence in Healthcare. Springer, pp. 205-216.

Alibakhshi, Alireza, Jevsikov, Jevgeni, Ufumaka, Isreal, Binmadi, Rana, NG, Tiffany, Stowell, Catherine C., Hussain, Arshian, Abdi, Abas, Serej, Nasim Dadashi, Shun-Shin, Matthew J., Francis, Darrel P., Manisty, Charlotte H. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2026) Phase-Guided quality regression in Apical Echocardiography via CNN-LSTM: a systematic backbone benchmarking study. In: Artificial Intelligence in Healthcare. Lecture Notes in Computer Science, 16877 (6877). Springer, pp. 17-30.

Abdi, Abas, Jeviskov, Jevgeni, Hussain, Arshian, Alibakshi, Alireza, Ufumaka, Isreal, Alajrami, Eman, Francis, Darrel P., Serej, Nasim Dadashi and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2026) Regional myocardial strain estimation with MyoTrackerChrono. In: Artificial Intelligence in Healthcare. Lecture Notes in Computer Science, 16877. Springer, pp. 131-142.

Hussain, Arshian, Alibakhshi, Alireza, Abdi, Abas, Ufumaka, Isreal, Serej, Nasim Dadashi, Khalili, Hosseinali and Zolgharni, Massoud (2026) Uncertainty-weighted multi-task learning for early prediction of functional outcome and length of stay in traumatic brain injury. In: Artificial Intelligence in Healthcare. Springer, pp. 217-230.

Conference or Workshop Item

Fernandes, Patricia ORCID: https://orcid.org/0009-0000-9720-2829, Naidoo, Preshen ORCID: https://orcid.org/0009-0004-8328-6194, Ufumaka, Isreal ORCID: https://orcid.org/0000-0002-8906-4822, Adibzadeh, Sara ORCID: https://orcid.org/0009-0003-3656-916X, Alajrami, Eman ORCID: https://orcid.org/0000-0002-8656-5541, Jevsikov, Jevgeni ORCID: https://orcid.org/0009-0004-2070-7289, Dadashiserej, Nasim ORCID: https://orcid.org/0000-0002-2898-1926, Howard, James ORCID: https://orcid.org/0000-0002-9989-6331, Shun-Shin, Matthew ORCID: https://orcid.org/0000-0002-1179-0867, Manisty, Charlotte ORCID: https://orcid.org/0000-0003-0245-7090, Francis, Darrel ORCID: https://orcid.org/0000-0002-3410-0814 and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2025) Deep Learning for assessing rotational misalignment in echocardiographic imaging. In: International Conference on AI in Healthcare, 8-10 September 2025, Cambridge, United Kingdom.

Naidoo, Preshen ORCID: https://orcid.org/0009-0004-8328-6194, Fernandes, Patricia ORCID: https://orcid.org/0009-0000-9720-2829, Ufumaka, Isreal ORCID: https://orcid.org/0000-0002-8906-4822, Serej, Nasim Dadashi ORCID: https://orcid.org/0000-0002-2898-1926, Howard, James ORCID: https://orcid.org/0000-0002-9989-6331, Francis, Darrel ORCID: https://orcid.org/0000-0002-3410-0814, Manisty, Charlotte ORCID: https://orcid.org/0000-0003-0245-7090 and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2025) Spatiotemporal contrastive learning for Echocardiography View Classification. In: International Conference on AI in Healthcare, 8-10 September 2025, Cambridge, United Kingdom.