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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
4,880개의 결과
Control Risk for Potential Misuse of Artificial Intelligence in Science
Jiyan He, Weitao Feng 외 11명
arXiv (Cornell University)
|
2023
|
6 회 인용
COVID-19 Classification Using Deep Learning Two-Stage Approach
Mostapha Alsaidi, Ali Saleem Altaher 외 3명
arXiv (Cornell University)
|
2022
|
6 회 인용
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
Saddam Hussain Khan, Anabia Sohail 외 1명
arXiv (Cornell University)
|
2020
|
6 회 인용
COVID-19 personal protective equipment detection using real-time deep learning methods
Shayan Khosravipour, Erfan Taghvaei 외 1명
arXiv (Cornell University)
|
2021
|
6 회 인용
COVID-19: Should We Test Everyone?
Grace Y. Yi, Wenqing He 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19.
Faraz Khoshbakhtian, Ahmed Ashraf 외 1명
arXiv (Cornell University)
|
2020
|
6 회 인용
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
Amalie Trewartha, John Dagdelen 외 9명
arXiv (Cornell University)
|
2020
|
6 회 인용
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images
Hayden Gunraj, Tia Tuinstra 외 1명
arXiv (Cornell University)
|
2022
|
6 회 인용
Criteria for linearized stability for a size-structured population model
Inom Mirzaev, David M. Bortz
arXiv (Cornell University)
|
2015
|
6 회 인용
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
Xiangyu Zhao, Peng Zhang 외 7명
arXiv (Cornell University)
|
2021
|
6 회 인용
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