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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
COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images
Xin Li, Dongxiao Zhu
arXiv (Cornell University)
|
2020
|
49 회 인용
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene, Axel Camara 외 3명
arXiv (Cornell University)
|
2020
|
49 회 인용
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Ziyan Huang, Haoyu Wang 외 9명
arXiv (Cornell University)
|
2023
|
49 회 인용
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao, Mu Zhou 외 1명
arXiv (Cornell University)
|
2021
|
49 회 인용
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators
Naren Ramakrishnan, P. J. Butler 외 28명
arXiv (Cornell University)
|
2014
|
48 회 인용
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
Tianyang Li, Zhongyi Han 외 4명
arXiv (Cornell University)
|
2020
|
48 회 인용
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
Terrance DeVries, Dhanesh Ramachandram
arXiv (Cornell University)
|
2017
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48 회 인용
Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu, Matthieu Komorowski 외 4명
arXiv (Cornell University)
|
2017
|
47 회 인용
Self-Supervised Deep Active Accelerated MRI
Kyong Hwan Jin, Michaël Unser 외 1명
arXiv (Cornell University)
|
2019
|
47 회 인용
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling
Wenwu Ye, Jin Yao 외 2명
arXiv (Cornell University)
|
2020
|
47 회 인용
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