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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
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez, Harshavardhan Kamarthi 외 5명
arXiv (Cornell University)
|
2022
|
6 회 인용
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Yixing Huang, Alexander Preuhs 외 4명
arXiv (Cornell University)
|
2019
|
6 회 인용
Decision Support System for Renal Transplantation
Ehsan Khan, Avishek Choudhury 외 2명
arXiv (Cornell University)
|
2018
|
6 회 인용
Decontamination of the scientific literature
Guillaume Cabanac
arXiv (Cornell University)
|
2022
|
6 회 인용
Deep learning-based attenuation correction in the image domain for myocardial perfusion SPECT imaging
Samaneh Mostafapour, Faeze Gholamiankhah 외 5명
arXiv (Cornell University)
|
2021
|
6 회 인용
Deep Learning for Automated Classification of Tuberculosis-Related Chest X-Ray: Dataset Specificity Limits Diagnostic Performance Generalizability
Seelwan Sathitratanacheewin, Krit Pongpirul
arXiv (Cornell University)
|
2018
|
6 회 인용
Deep Learning on Retina Images as Screening Tool for Diagnostic Decision Support
Maria Camila Alvarez Trivino, Jeremie Despraz 외 2명
arXiv (Cornell University)
|
2018
|
6 회 인용
Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity
Sarah Leclerc, Erik Smistad 외 10명
arXiv (Cornell University)
|
2019
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6 회 인용
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level
Qian Cheng, Hongliang Ren
arXiv (Cornell University)
|
2023
|
6 회 인용
DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation
Anish Khazane, Julien Hoachuck 외 2명
arXiv (Cornell University)
|
2022
|
6 회 인용
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