arXiv:2011.02580 공식 코드 · Papers with Code

DeepReg: a deep learning toolkit for medical image registration

Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson 외 2명

제출 2020-11-04

arXiv 원문 코드 보기

원문 초록

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2507.11569공통 태그 Image Registration, Medical Image Registration공식 코드 · Papers with Code 등록 2025-07-15

토론

이 논문과 연결된 포럼 글이 아직 없습니다.

포럼에서 토론 찾기

DeepReg: a deep learning toolkit for medical image registration

원문 초록

함께 살펴볼 논문

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

Pretraining Deformable Image Registration Networks with Random Images

Improving Generalization of Medical Image Registration Foundation Model

IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration

OncoReg: Medical Image Registration for Oncological Challenges

SACB-Net: Spatial-awareness Convolutions for Medical Image Registration

토론