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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
Deep Learning based Framework for Automatic Diagnosis of Glaucoma based on analysis of Focal Notching in the Optic Nerve Head
Sneha Dasgupta, Rishav Mukherjee 외 2명
arXiv (Cornell University)
|
2021
|
4 회 인용
Deep Learning-Based Partial Volume Correction in Standard and Low-Dose PET-CT Imaging
Mohammad-Saber Azimi, Alireza Kamali‐Asl 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI
Cian M. Scannell, Piet van den Bosch 외 4명
arXiv (Cornell University)
|
2019
|
4 회 인용
Deep Learning for Low-Dose CT Denoising
Maryam Gholizadeh-Ansari, Javad Alirezaie 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction.
Ouri Cohen, Bo Zhu 외 1명
arXiv (Cornell University)
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2017
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4 회 인용
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Krzysztof Maziarz, Anna Krason 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Deep Learning for Ultrasound Beamforming
Ruud J. G. van Sloun, Jong Chul Ye 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging.
Yeo Hun Yoon, Shujaat Khan 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset
Kyoka Yoshiok, Kensuke Tanioka 외 2명
arXiv (Cornell University)
|
2023
|
4 회 인용
Deep learning neural nets for detecting heart activity
J.M. Horvath, Lu Shien 외 4명
arXiv (Cornell University)
|
2019
|
4 회 인용
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