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Medical image analysis is crucial in modern radiological diagnostics, especially given the exponential growth in medical imaging data.
Computed tomography and magnetic resonance imaging: past, present and future
Müller, N. 2002 · 2002
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Bleu: a Method for Automatic Evaluation of Machine Translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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ROUGE: A Package for Automatic Evaluation of Summaries
Lin, C.-Y. 2004 · 2004
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METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
Banerjee, S.; and Lavie, A. 2005 · 2005
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Generating radiology reports via memory-driven transformer
Chen, Z.; Song, Y.; Chang, T.-H.; and Wan, X. 2020 · 2010
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VQA: Visual Question Answering
Antol, S.; Agrawal, A.; Lu, J.; Mitchell, M.; Batra, D.; Zitnick, C. L.; and Parikh, D. 2015 · 2015
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Jing, B.; Xie, P.; and Xing, E. 2017 · 2017
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Camel clinical biochemistry and hematology
Faye, B.; and Bengoumi, M. 2018 · 2018
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Cross-modal memory networks for radiology report generation
Chen, Z.; Shen, Y.; Song, Y.; and Wan, X. 2022 · 2022
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LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
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Reinforced cross-modal alignment for radiology report generation
Qin, H.; and Song, Y. 2022 · 2022
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Vision–language model for visual question answering in medical imagery
Bazi, Y.; Rahhal, M. M. A.; Bashmal, L.; and Zuair, M. 2023 · 2023
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Ziya2: Data-centric Learning is All LLMs Need
Gan, R.; Wu, Z.; Sun, R.; Lu, J.; Wu, X.; Zhang, D.; Pan, K.; Yang, P.; Yang, Q.; Zhang, J.; et al. 2023 · 2023
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Maaz, M.; Rasheed, H.; Khan, S.; and Khan, F. S. 2023 · 2023
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Development and validation of a smart system for medullation and diameter assessment of alpaca, llama and mohair fibres
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Doctorglm: Fine-tuning your chinese doctor is not a herculean task
Xiong, H.; Wang, S.; Zhu, Y.; Zhao, Z.; Liu, Y.; Huang, L.; Wang, Q.; and Shen, D. 2023 · 2023
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Adding conditional control to text-to-image diffusion models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Zhu, D.; Chen, J.; Shen, X.; Li, X.; and Elhoseiny, M. 2023 · 2023
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M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Bai, F.; Du, Y.; Huang, T.; Meng, M. Q. H.; and Zhao, B. 2024 · 2024
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Xraygpt: Chest radiographs summarization using medical vision-language models
Thawkar, O.; Shaker, A.; Mullappilly, S. S.; Cholakkal, H.; Anwer, R. M.; Khan, S.; Laaksonen, J.; and Khan, F. S. 2023 · 2023
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Tian, Y.; Gan, R.; Song, Y.; Zhang, J.; and Zhang, Y. 2023 · 2023
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Llama: Open and efficient foundation language models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; et al. 2023 · 2023
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Huatuo: Tuning llama model with chinese medical knowledge
Wang, H.; Liu, C.; Xi, N.; Qiang, Z.; Zhao, S.; Qin, B.; and Liu, T. 2023 · 2023
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Towards Generalist Foundation Model for Radiology
Wu, C.; Zhang, X.; Zhang, Y.; Wang, Y.; and Xie, W. 2023 · 2023
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Llava-med: Training a large language-and-vision assistant for biomedicine in one day
Li, C.; Wong, C.; Zhang, S.; Usuyama, N.; Liu, H.; Yang, J.; Naumann, T.; Poon, H.; and Gao, J. 2023a
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Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Li, J.; Li, D.; Savarese, S.; and Hoi, S. 2023b
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Hamamci, I. E.; Er, S.; Almas, F.; Simsek, A. G.; Esirgun, S. N.; Dogan, I.; Dasdelen, M. F.; Wittmann, B.; Simsar, E.; Simsar, M.; et al. 2024 · 2024
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Ct2rep: Automated radiology report generation for 3d medical imaging
Hamamci, I. E.; Er, S.; and Menze, B. 2024 · 2024
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Bootstrapping Large Language Models for Radiology Report Generation
Liu, C.; Tian, Y.; Chen, W.; Song, Y.; and Zhang, Y. 2024 · 2024
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Towards generalist biomedical AI
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PMC-LLaMA: toward building open-source language models for medicine
Wu, C.; Lin, W.; Zhang, X.; Zhang, Y.; Xie, W.; and Wang, Y. 2024 · 2024
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