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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
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study
Ariana Anderson, Wesley T. Kerr 외 4명
arXiv (Cornell University)
|
2015
|
22 회 인용
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal Images
Taibou Birgui Sekou, Moncef Hidane 외 2명
arXiv (Cornell University)
|
2019
|
22 회 인용
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu, Yukun Cao 외 6명
arXiv (Cornell University)
|
2020
|
22 회 인용
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck, Sebastian M. Waldstein 외 6명
arXiv (Cornell University)
|
2016
|
22 회 인용
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
Johannes F. Kunz, Stefan Ruschke 외 1명
arXiv (Cornell University)
|
2023
|
22 회 인용
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning
Tomasz Konopczyński, Thorben Kröger 외 2명
arXiv (Cornell University)
|
2019
|
22 회 인용
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Liangzhi Li, Manisha Verma 외 3명
arXiv (Cornell University)
|
2019
|
22 회 인용
Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices
Tom Mahler, Nir Nissim 외 7명
arXiv (Cornell University)
|
2018
|
22 회 인용
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang, James Liang 외 1명
arXiv (Cornell University)
|
2022
|
22 회 인용
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks
Yehui Yang, Tao Li 외 4명
arXiv (Cornell University)
|
2017
|
22 회 인용
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