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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
AV-Net: Deep learning for fully automated artery-vein classification in optical coherence tomography angiography
Minhaj Nur Alam, David Le 외 3명
arXiv (Cornell University)
|
2020
|
5 회 인용
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
Hirofumi Tsuruta, Hiroyuki Yamazaki 외 9명
arXiv (Cornell University)
|
2023
|
5 회 인용
Baichuan-M1: Pushing the Medical Capability of Large Language Models
Bingning Wang, Haizhou Zhao 외 41명
ArXiv.org
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2025
|
5 회 인용
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative
Mingxi Lei, Bino Varghese 외 7명
arXiv (Cornell University)
|
2020
|
5 회 인용
Beyond principlism: Practical strategies for ethical AI use in research practices
Zhenyang Lin
arXiv (Cornell University)
|
2024
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5 회 인용
BianCang: A Traditional Chinese Medicine Large Language Model
Sibo Wei, Xueping Peng 외 9명
arXiv (Cornell University)
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2024
|
5 회 인용
Bifurcations in Delayed Lotka-Volterra Intraguild Predation Model
Juancho A. Collera
arXiv (Cornell University)
|
2015
|
5 회 인용
Bio-Soliton Model that predicts Non-Thermal Electromagnetic Radiation Frequency Bands, that either Stabilize or Destabilize Life Conditions
J. H. Geesink, Dirk K. F. Meijer
arXiv (Cornell University)
|
2016
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5 회 인용
Boundary Aware Networks for Medical Image Segmentation.
Ali Hatamizadeh, Demetri Terzopoulos 외 1명
arXiv (Cornell University)
|
2019
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5 회 인용
Boundary Difference Over Union Loss For Medical Image Segmentation
Fan Sun, Zhiming Luo 외 1명
arXiv (Cornell University)
|
2023
|
5 회 인용
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