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Large-scale Artificial General Intelligence (AGI) models, including Large Language Models (LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of general domain tasks.
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“Customized segment anything model for medical image segmentation”
Kaidong Zhang and Dong Liu · 2023
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Yihao Liu et al · 2023
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Asim Waqas et al · 2023
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“Computer-vision benchmark segment-anything model (sam) in medical images: Accuracy in 12 datasets”
Sheng He et al · 2023
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Junyu Chen et al · 2022
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Yongpei Zhu and Shi Lu · 2022
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Jiacheng Shi et al · 2022
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“Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs”
Ryan Brate et al · 2022
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Zhengliang Liu et al · 2022
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Yangtao Wang et al · 2022
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Saikat Roy et al · 2023
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Ruining Deng et al · 2023
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“Segment anything model for medical image analysis: an experimental study”
Maciej Mazurowski et al · 2023
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“3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable medical image segmentation”
Shizhan Gong et al · 2023
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“Sam on medical images: A comprehensive study on three prompt modes”
Dongjie Cheng et al · 2023
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“Llama: Open and efficient foundation language models”
Hugo Touvron et al · 2023
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“Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity”
Raman Dutt et al · 2023
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Jiaao Chen et al · 2023
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“QLoRA: Efficient Finetuning of Quantized LLMs”
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman and Luke Zettlemoyer · 2023
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Rohan Taori et al · 2023
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“Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality”
Wei-Lin Chiang et al · 2023
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“XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models”
Omkar Thawakar et al · 2023
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“Minigpt-4: Enhancing vision-language understanding with advanced large language models”
Deyao Zhu et al · 2023
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“Chatcad: Interactive computer-aided diagnosis on medical image using large language models”
Sheng Wang et al · 2023
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“Holistic Evaluation of GPT-4V for Biomedical Imaging”
Zhengliang Liu et al · 2023
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“BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks”
Zihan Guan et al · 2023
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“Foundation models for time series analysis: A tutorial and survey”
Yuxuan Liang et al · 2024
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Shashank Subramanian et al · 2024
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