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Medicine 논문 리뷰
Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,826개의 결과
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen 외 5명
arXiv (Cornell University)
|
2023
|
65 회 인용
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao, Mu Zhou 외 4명
arXiv (Cornell University)
|
2022
|
64 회 인용
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu 외 2명
arXiv (Cornell University)
|
2018
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64 회 인용
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Cohen, Mohammad Hashir 외 2명
arXiv (Cornell University)
|
2020
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64 회 인용
Pulmonary surfactant inhibition of nanoparticle uptake by alveolar epithelial cells
Milad Radiom, Matthieu Sarkis 외 4명
arXiv (Cornell University)
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2020
|
64 회 인용
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Saikat Roy, Tassilo Wald 외 6명
arXiv (Cornell University)
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2023
|
64 회 인용
Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic
Brian Subirana, Ferran Hueto 외 11명
arXiv (Cornell University)
|
2020
|
63 회 인용
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
Weixin Liang, Zachary Izzo 외 10명
arXiv (Cornell University)
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2024
|
63 회 인용
Performance characterization of a novel deep learning-based MR image reconstruction pipeline
R. Marc Lebel
arXiv (Cornell University)
|
2020
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63 회 인용
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassasni 외 3명
arXiv (Cornell University)
|
2020
|
62 회 인용
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