# Medical Image
(2021)Generative Adversarial Registration for Improved Conditional Deformable Templates
Generative Adversarial Registration for Improved Conditional Deformable Templates 논문 리뷰
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(2019)Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces 논문 리뷰
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(2021)HyperMorph: Amortized Hyperparameter Learning for Image Registration
HyperMorph: Amortized Hyperparameter Learning for Image Registration 논문 리뷰
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(2021)UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation 논문 리뷰
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(2021)EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke 논문 리뷰
(2018)VoxelMorph: A Learning Framework for Deformable Medical Image Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration 논문 리뷰
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(2021)Convolution-Free Medical Image Segmentation using Transformers
Convolution-Free Medical Image Segmentation using Transformers 논문 리뷰
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Medical Image Registration - Non-rigid registration via deformable model
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Registration - Non-rigid registration via ICP
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Registration - Registration using main axis
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Registration - Similarity measure
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Segmentation - Active shape model
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Atlas based method / Label fusion
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
Medical Image Segmentation - Active contour model
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Segmentation - Segmentation using graph model
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Segmentation - Region growing / Watershed algorithm
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Segmentation - Morphological processing
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
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Medical Image Segmentation - Otsu thresholding
참고: https://www.edwith.org/medical-20200327/joinLectures/30437 (컴퓨터비전, 머신러닝, 딥러닝을 이용한 의료영상분석 edwith)
(2021)Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation 논문 리뷰