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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
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation
Yundong Zhang, Hang Wu 외 3명
arXiv (Cornell University)
|
2019
|
7 회 인용
Improved Approximation Algorithms for Stochastic Matching
Marek Adamczyk, Fabrizio Grandoni 외 1명
arXiv (Cornell University)
|
2015
|
7 회 인용
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Coen de Vente, Luuk Boulogne 외 6명
arXiv (Cornell University)
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2020
|
7 회 인용
Improving Proton Dose Calculation Accuracy by Using Deep Learning
Chao Wu, Dan Nguyen 외 6명
arXiv (Cornell University)
|
2020
|
7 회 인용
Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs
Yu Takagi, Shinji Nishimoto
arXiv (Cornell University)
|
2023
|
7 회 인용
In-flight performances of SilEye-2 Experiment and cosmic ray abundances inside space station Mir
S. Avdeev, V. Bidoli 외 25명
arXiv (Cornell University)
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2001
|
7 회 인용
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
Yinghuan Shi, Jian Zhang 외 6명
arXiv (Cornell University)
|
2021
|
7 회 인용
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
Grzegorz Jacenków, Alison Q. O’Neil 외 1명
arXiv (Cornell University)
|
2022
|
7 회 인용
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Shih-Cheng Huang, Zepeng Huo 외 7명
arXiv (Cornell University)
|
2023
|
7 회 인용
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning
Chenyang Shen, Yesenia Gonzalez 외 3명
arXiv (Cornell University)
|
2017
|
7 회 인용
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