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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
Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings
Siyao Shao, Dezhi Zhou 외 7명
arXiv (Cornell University)
|
2020
|
13 회 인용
Semantic Diffusion Network for Semantic Segmentation
Haoru Tan, Sitong Wu 외 1명
arXiv (Cornell University)
|
2023
|
13 회 인용
Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning
Dustin Morley, Hassan Foroosh 외 2명
arXiv (Cornell University)
|
2017
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13 회 인용
Skin Lesion Segmentation and Classification with Deep Learning System.
Devansh Bisla, Anna Choromanska 외 3명
arXiv (Cornell University)
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2019
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13 회 인용
Splitting one ventilator for multiple patients -- a technical assessment
T Martinsen, C Tronstad 외 7명
arXiv (Cornell University)
|
2020
|
13 회 인용
Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions
Željko Kereta, Robert Twyman 외 3명
arXiv (Cornell University)
|
2021
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13 회 인용
Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation
Vinicius Pavanelli Vianna
arXiv (Cornell University)
|
2018
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13 회 인용
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
Kelei He, Wei Zhao 외 9명
arXiv (Cornell University)
|
2020
|
13 회 인용
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
Salman Ul Hassan Dar, Mahmut Yurt 외 3명
arXiv (Cornell University)
|
2018
|
13 회 인용
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang, Jiangzhuo Chen 외 1명
arXiv (Cornell University)
|
2020
|
13 회 인용
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