[36] P Kharazmi, S Kalia, H Lui, ZJ Wang, and TK Lee. A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile. Skin research and technology, 24(2):256-264, 2018.
[37] Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, and Neil Houlsby. Big transfer (bit): General visual representation learning. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part V 16, pages 491-507. Springer, 2020.
[38] Ajith AK Kumar. Mortality prediction in the icu: The daunting task of predicting the unpredictable. Indian Journal of Critical Care Medicine: Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine, 26(1):13, 2022.
[39] Grégoire Le Gal and Henri Bounameaux. Diagnosing pulmonary embolism: running after the decreasing prevalence of cases among suspected patients. Journal of thrombosis and haemostasis, 2(8):1244-1246, 2004.
[40] Adones Leslie, AJ Jones, and PR Goddard. The influence of clinical information on the reporting of ct by radiologists. The British journal of radiology, 73(874):1052-1055, 2000.
[41] Ann N Leung, Todd M Bull, Roman Jaeschke, Charles J Lockwood, Phillip M Boiselle, Lynne M Hurwitz, Andra H James, Laurence B McCullough, Yusuf Menda, Michael J Paidas, et al. An official american thoracic society/society of thoracic radiology clinical practice guideline: evaluation of suspected pulmonary embolism in pregnancy. American journal of respiratory and critical care medicine, 184(10):1200-1208, 2011.
[42] Ann N Leung, Todd M Bull, Roman Jaeschke, Charles J Lockwood, Phillip M Boiselle, Lynne M Hurwitz, Andra H James, Laurence B McCullough, Yusuf Menda, Michael J Paidas, et al. American thoracic society documents: an official american thoracic society/society of thoracic radiology clinical practice guideline—evaluation of suspected pulmonary embolism in pregnancy. Radiology, 262(2):635-646, 2012.
[43] Hongming Li and Yong Fan. Early prediction of alzheimers disease dementia based on baseline hippocampal mri and 1-year follow-up cognitive measures using deep recurrent neural networks. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pages 368-371. IEEE, 2019.
[44] Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaine, Rema Ramakrishnan, Dexter Canoy, Yajie Zhu, Kazem Rahimi, and Gholamreza Salimi-Khorshidi. Behrt: transformer for electronic health records. Scientific reports, 10(1):1-12, 2020.
[45] Yikuan Li, Ramsey M Wehbe, Faraz S Ahmad, Hanyin Wang, and Yuan Luo. Clinical-longformer and clinical-bigbird: Transformers for long clinical sequences. arXiv preprint arXiv:2201.11838, 2022.
[46] Thomas J Littlejohns, Jo Holliday, Lorna M Gibson, Steve Garratt, Niels Oesingmann, Fidel Alfaro-Almagro, Jimmy D Bell, Chris Boultwood, Rory Collins, Megan C Conroy, et al. The uk biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nature communications, 11(1):2624, 2020.
[47] Ming-Qian LIU. Bone age assessment model based on multi-dimensional feature fusion using deep learning. Academic journal of second military medical university, pages 909-916, 2018.
[48] Weifang Liu, Min Liu, Xiaojuan Guo, Peiyao Zhang, Ling Zhang, Rongguo Zhang, Han Kang, Zhenguo Zhai, Xincao Tao, Jun Wan, et al. Evaluation of acute pulmonary embolism and clot burden on ctpa with deep learning. European radiology, 30:3567-3575, 2020.
[49] Zhaodong Liu, Hongpeng Yin, Yi Chai, and Simon X Yang. A novel approach for multimodal medical image fusion. Expert systems with applications, 41(16):7425-7435, 2014.
[50] Xiaotian Ma, Emma C Ferguson, Xiaoqian Jiang, Sean I Savitz, and Shayan Shams. A multitask deep learning approach for pulmonary embolism detection and identification. Scientific Reports, 12(1):13087, 2022.
[51] Ioana Mastora, Martine Remy-Jardin, Pascal Masson, Eric Galland, Valérie Delannoy, Jean-Jacques Bauchart, and Jacques Remy. Severity of acute pulmonary embolism: evaluation of a new spiral ct angiographic score in correlation with echocardiographic data. European radiology, 13:29-35, 2003.
[52] Felix G Meinel, John W Nance Jr, U Joseph Schoepf, Verena S Hoffmann, Kolja M Thierfelder, Philip Costello, Samuel Z Goldhaber, and Fabian Bamberg. Predictive value of computed tomography in acute pulmonary embolism: systematic review and meta-analysis. The American journal of medicine, 128(7):747-759, 2015.