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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
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Mahboobeh Jafari, Afshin Shoeibi 외 10명
arXiv (Cornell University)
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2022
|
10 회 인용
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi, Deepta Rajan 외 4명
arXiv (Cornell University)
|
2020
|
10 회 인용
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
Kibrom Berihu Girum, Youssef Skandarani 외 4명
arXiv (Cornell University)
|
2020
|
10 회 인용
Bayesian Inference of Whole-Brain Networks
Max Hinne, Tom Heskes 외 1명
arXiv (Cornell University)
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2012
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10 회 인용
BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors
Kathryn Wantlin, Chenwei Wu 외 13명
arXiv (Cornell University)
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2023
|
10 회 인용
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin, Mohit Chandra 외 4명
arXiv (Cornell University)
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2023
|
10 회 인용
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
Yue Qian, Xinzhe Luo 외 3명
arXiv (Cornell University)
|
2019
|
10 회 인용
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course
Eng Lieh Ouh, Benjamin Kok Siew Gan 외 2명
arXiv (Cornell University)
|
2023
|
10 회 인용
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network
Qi Xiao, Lloyd Brown 외 2명
arXiv (Cornell University)
|
2020
|
10 회 인용
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu 외 2명
arXiv (Cornell University)
|
2023
|
10 회 인용
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