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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
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
Wenrui Zhang, Xinxin Di 외 4명
arXiv (Cornell University)
|
2022
|
4 회 인용
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
Niharika Shimona D’Souza, Mary Beth Nebel 외 5명
arXiv (Cornell University)
|
2020
|
4 회 인용
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks
Aditya Saxena, Shamsheer Pal Singh
arXiv (Cornell University)
|
2022
|
4 회 인용
A Dense CNN approach for skin lesion classification
Pierluigi Carcagnì, Andrea Cuna 외 1명
arXiv (Cornell University)
|
2018
|
4 회 인용
A diffusive logistic problem with a free boundary in time-periodic environment: favorable habitat or unfavorable habitat
Qiaoling Chen, Fengquan Li 외 1명
arXiv (Cornell University)
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2014
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4 회 인용
A Food Recommender System in Academic Environments Based on Machine Learning Models
Abolfazl Ajami, Babak Teimourpour
arXiv (Cornell University)
|
2023
|
4 회 인용
A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments
Guangyao Zheng, Shuhao Lai 외 3명
arXiv (Cornell University)
|
2023
|
4 회 인용
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
Adrian Celaya, Béatrice Rivière 외 1명
arXiv (Cornell University)
|
2023
|
4 회 인용
A generic rule-based system for clinical trial patient selection
Jianlin Shi, Kevin Graves 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Yiyou Sun, Zhenmei Shi 외 1명
arXiv (Cornell University)
|
2023
|
4 회 인용
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