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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
Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images
Xi Yang, Ding Xia 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin, Wei Zhang 외 3명
arXiv (Cornell University)
|
2020
|
4 회 인용
Synthetic Data as Validation
Qixin Hu, Alan Yuille 외 1명
arXiv (Cornell University)
|
2023
|
4 회 인용
Synthetic ECG Signal Generation using Probabilistic Diffusion Models
Edmond Adib, Amanda Fernandez 외 2명
arXiv (Cornell University)
|
2023
|
4 회 인용
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning
Andreas Hess, Raphael Meier 외 6명
arXiv (Cornell University)
|
2018
|
4 회 인용
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments
Gao Cong, Benjamin D. Killeen 외 5명
arXiv (Cornell University)
|
2022
|
4 회 인용
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
Riqiang Gao, Mirza S. Khan 외 7명
arXiv (Cornell University)
|
2021
|
4 회 인용
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Yueming Jin, Yonghao Long 외 4명
arXiv (Cornell University)
|
2021
|
4 회 인용
The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors
Fiona Draxler, Anna Werner 외 5명
arXiv (Cornell University)
|
2023
|
4 회 인용
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