Connexion
Idée - Diffeomorphic Image Registration
A Novel Deep Learning Framework (DCCNN-LSTM-Reg) for Symmetric Diffeomorphic Medical Image Registration
This research paper introduces DCCNN-LSTM-Reg, a novel deep learning framework that leverages a symmetrical dynamic learning approach to achieve highly accurate and diffeomorphic medical image registration.
Efficient and Accurate Diffeomorphic Image Registration using Adaptive Riemannian Optimization
FireANTs, a novel multi-scale Adaptive Riemannian Optimization algorithm, achieves state-of-the-art performance on diffeomorphic image registration tasks across various modalities and anatomies, while providing significant speedups of up to 2000x over existing methods.
心臓Cine MRIの運動追跡のための低ランクグループ変形
心臓Cine MRIでの運動追跡における低ランクグループ変形の重要性と効果的な手法を提案する。
A Bi-variant Diffeomorphic Image Registration Model with Relaxed Jacobian Determinant Constraints
The author proposes a new bi-variant diffeomorphic image registration model with relaxed Jacobian determinant constraints to handle large local deformations effectively.
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