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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
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Yuankai Huo, Jinzheng Cai 외 8명
arXiv (Cornell University)
|
2020
|
9 회 인용
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Mingchen Gao, Ziyue Xu 외 4명
arXiv (Cornell University)
|
2017
|
9 회 인용
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge A. Mendez, Eric Eaton
arXiv (Cornell University)
|
2022
|
9 회 인용
Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases
Lam Pham, Huy Phan 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
Individual performance calibration using physiological stress signals
Francisco Hernando-Gallego, Antonio Artés-Rodrı́guez
arXiv (Cornell University)
|
2015
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9 회 인용
InSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy
Samuel J. Clark, Tyler H. McCormick 외 2명
arXiv (Cornell University)
|
2015
|
9 회 인용
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images
Brian D. Goodwin, Corey Jaskolski 외 2명
arXiv (Cornell University)
|
2020
|
9 회 인용
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
M. Hamed Mozaffari, Md. Aminur Rab Ratul 외 1명
arXiv (Cornell University)
|
2019
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9 회 인용
Language Models are Few-shot Learners for Prognostic Prediction
Zekai Chen, Mariann Micsinai Balan 외 1명
arXiv (Cornell University)
|
2023
|
9 회 인용
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
Ke Yan, Jinzheng Cai 외 8명
arXiv (Cornell University)
|
2020
|
9 회 인용
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