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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
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre Chambon, Christian Bluethgen 외 2명
arXiv (Cornell University)
|
2022
|
44 회 인용
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
Tong Yu, Didier Mutter 외 2명
arXiv (Cornell University)
|
2018
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44 회 인용
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
Tae Hyung Kim, Pratyush Garg 외 1명
arXiv (Cornell University)
|
2019
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44 회 인용
Novel deep learning methods for track reconstruction
Steven Farrell, Paolo Calafiura 외 12명
arXiv (Cornell University)
|
2018
|
44 회 인용
SARS oubreaks in Ontario, Hong Kong and Singapore: the role of diagnosis and isolation as a control mechanism
Gerardo Chowell, Paul W. Fenimore 외 2명
ArXiv.org
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2005
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44 회 인용
An Overview of Complex Adaptive Systems
E. Ahmed, Ahmed S. Elgazzar 외 1명
ArXiv.org
|
2005
|
43 회 인용
COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models
Xiaohong Gao, Qian Yu 외 1명
arXiv (Cornell University)
|
2021
|
43 회 인용
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
Ke Yan, Xiaosong Wang 외 2명
arXiv (Cornell University)
|
2017
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43 회 인용
IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation.
Mingchao Li, Yuhan Zhang 외 5명
arXiv (Cornell University)
|
2020
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43 회 인용
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu 외 2명
arXiv (Cornell University)
|
2020
|
43 회 인용
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