Joint Registration and Fusion of 3D Magnetic Resonance and 2D Ultrasound Images for Endometriosis Surgery-Reference-Cited by-同舟云学术

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Joint Registration and Fusion of 3D Magnetic Resonance and 2D Ultrasound Images for Endometriosis Surgery

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
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Author:

Bennioui Youssra El¹,Vidal Fabien²,Basarab Adrian³,Tourneret Jean-Yves¹

Affiliation:

1. Institut de Recherche en Informatique de Toulouse, CNRS UMR 5505, Université de Toulouse,France

2. Clinique Croix Du Sud Ramsey Santé,Department of gynecologic surgery,France

3. Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm,France,U1294

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290006.pdf?arnumber=10290006

Reference15 articles.

1. Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

2. Rigid slice-to-volume medical image registration through Markov random fields;porchetto;CoRR vol abs/1608 05562,2016

3. On the design of a pelvic phantom for Magnetic Resonance and Ultrasound image fusion;vidal;Proc IEEE IUS Symp,0

4. Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies

5. Deep learning in medical image registration: a survey

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fusion of Ultrasound and Magnetic Resonance Images for Endometriosis Diagnosis: A Non-Parametric Approach;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

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