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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
LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT
Hu Chen, Yi Zhang 외 8명
arXiv (Cornell University)
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2017
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7 회 인용
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao 외 5명
arXiv (Cornell University)
|
2019
|
7 회 인용
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
Pujin Cheng, Lin Li 외 4명
arXiv (Cornell University)
|
2023
|
7 회 인용
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
Sodiq Adewole, Philip Fernandez 외 6명
arXiv (Cornell University)
|
2021
|
7 회 인용
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
Zhoubing Xu, Yuankai Huo 외 5명
arXiv (Cornell University)
|
2018
|
7 회 인용
Lessons learnt from the recent EURADOS intercomparisons in computational dosimetry
Hans Rabus, M. Zankl 외 6명
arXiv (Cornell University)
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2022
|
7 회 인용
Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
Morocco Solidarity Hackathon
arXiv (Cornell University)
|
2023
|
7 회 인용
LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network
Jiaxing Tan, Longlong Jing 외 3명
arXiv (Cornell University)
|
2019
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7 회 인용
Linking the performance of endurance runners to training and physiological effects via multi-resolution elastic net
Ioannis Kosmidis, Louis Passfield
arXiv (Cornell University)
|
2015
|
7 회 인용
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study
Isarun Chamveha, Trongtum Tongdee 외 2명
arXiv (Cornell University)
|
2020
|
7 회 인용
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