Lei Ma

Orcid: 0000-0003-1336-1721

Affiliations:
  • University of Tokyo, Graduate School of Engineering, Japan


According to our database1, Lei Ma authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Structure-Aware Registration Network for Liver DCE-CT Images.
IEEE J. Biomed. Health Informatics, April, 2024

2023
S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.
IEEE Trans. Medical Imaging, September, 2023

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging, February, 2023

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023

Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning.
CoRR, 2023

Construction of unbiased dental template and parametric dental model for precision digital dentistry.
CoRR, 2023

FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dental Anatomy Segmentation from Cone Beam CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022

Robust and fast laparoscopic vision-based ultrasound probe tracking using a binary dot array marker.
Comput. Biol. Medicine, 2022

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep-Learning Based T<sub>1</sub> and T<sub>2</sub> Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Skull Segmentation from CBCT Images via Voxel-Based Rendering.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
An Auto-Context Deformable Registration Network for Infant Brain MRI.
CoRR, 2020

2018
Accurate vessel segmentation in ultrasound images using a local-phase-based snake.
Biomed. Signal Process. Control., 2018

2017
Image-guided laparoscopic pelvic lymph node dissection using stereo visual tracking free-hand laparoscopic ultrasound.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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