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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 Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox, Lynn Ang 외 3명
PubMed
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2018
|
19 회 인용
Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning
Martin G. Frasch, Shadrian B. Strong 외 3명
arXiv (Cornell University)
|
2021
|
19 회 인용
Early detection of sepsis utilizing deep learning on electronic health record event sequences
Simon Meyer Lauritsen, Mads Ellersgaard Kalør 외 5명
arXiv (Cornell University)
|
2019
|
19 회 인용
Explainable AI applications in the Medical Domain: a systematic review
Nicoletta Prentzas, Antonis Kakas 외 1명
arXiv (Cornell University)
|
2023
|
19 회 인용
Eye Disease Classification Using Deep Learning Techniques
Tareq Babaqi, Manar Jaradat 외 3명
arXiv (Cornell University)
|
2023
|
19 회 인용
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training
Sang Joon Park, Gwanghyun Kim 외 3명
arXiv (Cornell University)
|
2021
|
19 회 인용
GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
Emilio Ferrara
arXiv (Cornell University)
|
2023
|
19 회 인용
Geometric approach to error correcting codes and reconstruction of signals
Mark Rudelson, Roman Vershynin
arXiv (Cornell University)
|
2005
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19 회 인용
Inverse folding for antibody sequence design using deep learning
Frédéric A. Dreyer, Daniel Cutting 외 3명
arXiv (Cornell University)
|
2023
|
19 회 인용
LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
Paul Maria Scheikl, Balázs Gyenes 외 5명
arXiv (Cornell University)
|
2023
|
19 회 인용
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