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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
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
Lufan Chang, Wenjing Zhuang 외 7명
arXiv (Cornell University)
|
2020
|
9 회 인용
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Xiaoyue Li, Kai Shang 외 2명
arXiv (Cornell University)
|
2023
|
9 회 인용
Deep Convolutional Neural Networks for Noise Detection in ECGs
Jennifer N John, Conner Galloway 외 1명
arXiv (Cornell University)
|
2018
|
9 회 인용
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
Sumeet Menon, David Chapman 외 4명
arXiv (Cornell University)
|
2020
|
9 회 인용
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
Sarah Jabbour, David F. Fouhey 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
Deep Learning Approach for Early Stage Lung Cancer Detection
Saleh Abunajm, Nelly Elsayed 외 2명
arXiv (Cornell University)
|
2023
|
9 회 인용
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie, Ajil Jalal 외 4명
arXiv (Cornell University)
|
2020
|
9 회 인용
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning
Jen-Tang Lu, Rupert Brooks 외 10명
arXiv (Cornell University)
|
2019
|
9 회 인용
Delivery of Liquid Metal to the Target Vessels as Vascular Embolic Agent to Starve Diseased Tissues or Tumors to Death
Qian Wang, Yang Yu 외 1명
arXiv (Cornell University)
|
2014
|
9 회 인용
Dense Fully Convolutional Network for Skin Lesion Segmentation.
Ebrahim Nasr-Esfahani, Shima Rafiee 외 6명
arXiv (Cornell University)
|
2017
|
9 회 인용
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