Toward a Generic Multi-modal Medical Data Representation Model

Author:

Swaroopa K. M.,Kaur Nancy,Chetty GirijaORCID

Publisher

Springer Nature Singapore

Reference19 articles.

1. Durrani N, Vukovic D, van der Burgt J, Antico M, van Sloun RJG, Canty D, Steffens M, Wang A, Royse A, Royse C, Haji K, Dowling J, Chetty G, Fontanarosa D (2022) Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia. Sci Rep 12(1):1–15 [17581]. https://doi.org/10.1038/s41598-022-22196-y

2. Ahmad P, Qamar S, Shen L, Rizvi SQA, Ali A, Chetty G (2022) Multi-scale 3D UNet: multi-scale 3D UNet for brain tumor segmentation. In: Crimi A, Bakas S (eds) International MICCAI brainlesion workshop: glioma, multiple sclerosis, stroke and traumatic brain injuries—7th international workshop, BrainLes 2021, held in conjunction with MICCAI 2021 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 12963 LNCS). Springer, pp 30–41. https://doi.org/10.1007/978-3-031-09002-8_3

3. Park S, Kim G, Oh Y, Seo JB, Lee SM, Kim JH, Moon S, Lim J-K, Ye JC (2021) Vision transformer for covid-19 cxr diagnosis using chest x-ray feature corpus. arXiv preprint arXiv:2103.07055 (PREPRINT)

4. Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, Neelakantan A, Shyam P, Sastry G, Askell A et al (2020) Language models are few-shot learners. Adv Neural Inf Process Syst 33:1877–1901

5. Caron M, Touvron H, Misra I, J´egou H, Mairal J, Bojanowski P, Joulin A (2021) Emerging properties in self-supervised vision transformers. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 9650–9660

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