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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
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
Weisen Wang, Zhiyan Xu 외 9명
arXiv (Cornell University)
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2019
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4 회 인용
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
Chunyu Yuan, Dongfang Zhao 외 1명
arXiv (Cornell University)
|
2023
|
4 회 인용
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
Germán González, Aurelia Bustos 외 8명
arXiv (Cornell University)
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2020
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4 회 인용
(Un)fairness in Post-operative Complication Prediction Models
Sandhya Tripathi, Bradley A. Fritz 외 4명
arXiv (Cornell University)
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2020
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4 회 인용
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification
Meng Wang, Lin Tian 외 22명
arXiv (Cornell University)
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2023
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4 회 인용
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases
Max-Heinrich Laves, Sontje Ihler 외 1명
arXiv (Cornell University)
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2019
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4 회 인용
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
Wenchong He, Zhe Jiang
arXiv (Cornell University)
|
2023
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4 회 인용
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar, Soorena Salari 외 8명
arXiv (Cornell University)
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2021
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4 회 인용
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen 외 6명
ArXiv.org
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2025
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4 회 인용
Understanding Users' Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level
Yoonsu Kim, J. K.W. Lee 외 3명
arXiv (Cornell University)
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2023
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4 회 인용
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