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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
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh, Caleb Harris 외 6명
arXiv (Cornell University)
|
2021
|
7 회 인용
Expanding boundaries of Gap Safe screening
Cássio F. Dantas, Emmanuel Soubies 외 1명
arXiv (Cornell University)
|
2021
|
7 회 인용
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study
Qinghao Ye, Jun Xia 외 1명
arXiv (Cornell University)
|
2021
|
7 회 인용
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India
Mredulraj S. Pandianchery, Gopalakrishnan E. A 외 3명
arXiv (Cornell University)
|
2022
|
7 회 인용
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
Felipe Giuste, Wenqi Shi 외 7명
arXiv (Cornell University)
|
2021
|
7 회 인용
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves 외 1명
arXiv (Cornell University)
|
2022
|
7 회 인용
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review
Haomin Chen, Catalina Gómez 외 2명
arXiv (Cornell University)
|
2021
|
7 회 인용
Exploring the Regulatory Function of the N-terminal Domain of SARS-CoV-2 Spike Protein Through Molecular Dynamics Simulation
Yao Li, Tong Wang 외 6명
arXiv (Cornell University)
|
2021
|
7 회 인용
Extending the NOvA Physics Program
M. D. Messier
arXiv (Cornell University)
|
2013
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7 회 인용
Extinction and spreading of a species under the joint influence of climate change and a weak Allee effect: a two-patch model
Juliette Bouhours, Thomas Giletti
arXiv (Cornell University)
|
2016
|
7 회 인용
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