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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
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
Björn W. Schuller, Harry Coppock 외 1명
arXiv (Cornell University)
|
2020
|
16 회 인용
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler 외 3명
arXiv (Cornell University)
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2020
|
16 회 인용
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou, S. Kevin Zhou
arXiv (Cornell University)
|
2020
|
16 회 인용
Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic
Victoria Knutson, Serge Aleshin‐Guendel 외 3명
arXiv (Cornell University)
|
2022
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16 회 인용
Evaluating ResNeXt Model Architecture for Image Classification
Saifuddin Hitawala
arXiv (Cornell University)
|
2018
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16 회 인용
Fast and accurate classification of echocardiograms using deep learning
Ali Madani, Ramy Arnaout 외 2명
arXiv (Cornell University)
|
2017
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16 회 인용
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker, Annette Peters 외 6명
arXiv (Cornell University)
|
2022
|
16 회 인용
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
Santi Seguí, Michal Drozdzal 외 5명
arXiv (Cornell University)
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2016
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16 회 인용
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods
Xi Yang, Yan Gong 외 5명
arXiv (Cornell University)
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2019
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16 회 인용
Improved Gamma-Ray Point Source Quantification in Three Dimensions by Modeling Attenuation in the Scene
Mark S. Bandstra, Daniel Hellfeld 외 9명
arXiv (Cornell University)
|
2021
|
16 회 인용
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