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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
Towards Deeper Understanding of Camouflaged Object Detection
Yunqiu Lv, Jing Zhang 외 4명
arXiv (Cornell University)
|
2022
|
9 회 인용
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu 외 4명
arXiv (Cornell University)
|
2023
|
9 회 인용
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Zach Eaton-Rosen, Felix Bragman 외 3명
arXiv (Cornell University)
|
2018
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9 회 인용
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
Aleksandr M. Belov, Joël Valentin Stadelmann 외 2명
arXiv (Cornell University)
|
2021
|
9 회 인용
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao, Zhuowei Li 외 4명
arXiv (Cornell University)
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2023
|
9 회 인용
Tropical Geometry and Mechanism Design
Robert Alexander Crowell, Ngoc Mai Tran
arXiv (Cornell University)
|
2016
|
9 회 인용
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection
Haichao Cao, Hong Liu 외 6명
arXiv (Cornell University)
|
2019
|
9 회 인용
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
Francisca Vasconcelos, Bobby He 외 2명
arXiv (Cornell University)
|
2022
|
9 회 인용
Understanding how the use of AI decision support tools affect critical thinking and over-reliance on technology by drug dispensers in Tanzania
Ally Salim, Megan Allen 외 3명
arXiv (Cornell University)
|
2023
|
9 회 인용
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Maxime Kayser, Roger D. Soberanis-Mukul 외 4명
arXiv (Cornell University)
|
2020
|
9 회 인용
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