Logan Z. J. Williams

Orcid: 0000-0001-5392-7043

According to our database1, Logan Z. J. Williams authored at least 17 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cortical Surface Diffusion Generative Models.
CoRR, 2024

2023
ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
IEEE Trans. Medical Imaging, April, 2023

Unsupervised Multimodal Surface Registration with Geometric Deep Learning.
CoRR, 2023

Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach.
CoRR, 2023

The Multiscale Surface Vision Transformer.
CoRR, 2023

Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Surface Analysis with Vision Transformers.
CoRR, 2022

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces.
CoRR, 2022

A Deep Generative Model of Neonatal Cortical Surface Development.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

A Deep-Discrete Learning Framework for Spherical Surface Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

GeoMorph: Geometric Deep Learning for Cortical Surface Registration.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
CoRR, 2021

Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Predicting Preterm Birth Using Multimodal Fetal Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021


  Loading...