Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation von Lyu, Yiheng, Bennamoun, Mohammed, Sharif, Naeha, Lip, Gregory Y. H, Dwivedi, Girish

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PP-036 Spectrum of MRI findings of foetal alcohol syndrome disorders von Sharif, Saad, Lakshmanan, Naeha, Sharif, Farhana, Ryan, Stephanie

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LCEval: Learned Composite Metric for Caption Evaluation von Sharif, Naeha, White, Lyndon, Bennamoun, Mohammed, Liu, Wei, Shah, Syed Afaq Ali

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Spectrum of MRI findings of foetal alcohol syndrome disorders—what we know and what we need to know von Sharif, Saad, Lakshmanan, Naeha, Sharif, Farhana, Ryan, Stephanie

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Machine‐Learning Assessed Abdominal Aortic Calcification is Associated with Long‐Term Fall and Fracture Risk in Community‐Dwelling Older Australian Women von Dalla Via, Jack, Gebre, Abadi K., Smith, Cassandra, Gilani, Zulqarnain, Suter, David, Sharif, Naeha, Szulc, Pawel, Schousboe, John T., Kiel, Douglas P., Zhu, Kun, Leslie, William D., Prince, Richard L., Lewis, Joshua R., Sim, Marc

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Timing variation aware dynamic digital phase detector for low-latency clock domain crossing von Lodhi, Faiq Khalid, Hasan, Syed Rafay, Sharif, Naeha, Ramzan, Nadra, Hasan, Osman

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Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images von Sharif, Naeha, Gilani, Syed Zulqarnain, Suter, David, Reid, Siobhan, Szulc, Pawel, Kimelman, Douglas, Monchka, Barret A., Jozani, Mohammad Jafari, Hodgson, Jonathan M., Sim, Marc, Zhu, Kun, Harvey, Nicholas C., Kiel, Douglas P., Prince, Richard L., Schousboe, John T., Leslie, William D., Lewis, Joshua R.

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Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction von Vo, Jamie, Sharif, Naeha, Hassan, Ghulam Mubashar

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Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine imagesResearch in context von Naeha Sharif, Syed Zulqarnain Gilani, David Suter, Siobhan Reid, Pawel Szulc, Douglas Kimelman, Barret A. Monchka, Mohammad Jafari Jozani, Jonathan M. Hodgson, Marc Sim, Kun Zhu, Nicholas C. Harvey, Douglas P. Kiel, Richard L. Prince, John T. Schousboe, William D. Leslie, Joshua R. Lewis

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Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans von Gilani, Syed Zulqarnain, Sharif, Naeha, Suter, David, Schousboe, John T., Reid, Siobhan, Leslie, William D., Lewis, Joshua R.

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LCEval: Learned Composite Metric for Caption Evaluation von Sharif, Naeha, White, Lyndon, Bennamoun, Mohammed, Liu, Wei, Shah, Syed Afaq Ali

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SubICap: Towards Subword-informed Image Captioning von Sharif, Naeha, Bennamoun, Mohammed, Liu, Wei, Shah, Syed Afaq Ali

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NNEval: Neural Network Based Evaluation Metric for Image Captioning von Sharif, Naeha, White, Lyndon, Bennamoun, Mohammed, Shah, Syed Afaq Ali

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WEmbSim: A Simple yet Effective Metric for Image Captioning von Sharif, Naeha, White, Lyndon, Bennamoun, Mohammed, Liu, Wei, Shah, Syed Afaq Ali

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MNA-net: Multimodal Neuroimaging Attention-Based Architecture for Cognitive Decline Prediction von Vo, Jamie, Sharif, Naeha, Mubashar Hassan, Ghulam

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METHOD, SYSTEM AND USES FOR DETERMINING ABDOMINAL AORTIC CALCIFICATION von SCHOUSBOE, John, GILANI, Syed Zulqaman, SHARIF, Naeha, LEWIS, Joshua, SUTER, David

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Vision to Language: Methods, Metrics and Datasets von Sharif, Naeha, Nadeem, Uzair, Shah, Syed Afaq Ali, Bennamoun, Mohammed, Liu, Wei

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What can work and how? An overview of evidence-based interventions and delivery strategies to support health and human development from before conception to 20 years von Vaivada, Tyler, Lassi, Zohra S, Irfan, Omar, Salam, Rehana A, Das, Jai K, Oh, Christina, Carducci, Bianca, Jain, Reena P, Als, Daina, Sharma, Naeha, Keats, Emily C, Patton, George C, Kruk, Margaret E, Black, Robert E, Bhutta, Zulfiqar A

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A Survey of Evaluation Metrics Used for NLG Systems von Sai, Ananya B., Mohankumar, Akash Kumar, Khapra, Mitesh M.

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Machine Learning Paradigms: Introduction to Deep Learning-Based Technological Applications von Tsihrintzis, George A., Jain, Lakhmi C.

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