Stephen J. Price

Orcid: 0000-0002-7535-3009

According to our database1, Stephen J. Price authored at least 17 papers between 2012 and 2023.

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

2023
Multi-Modal Learning for Predicting the Genotype of Glioma.
IEEE Trans. Medical Imaging, November, 2023

G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Expectation-Maximization Regularised Deep Learning for Tumour Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Multi-modal learning for predicting the genotype of glioma.
CoRR, 2022

Predicting conversion of mild cognitive impairment to Alzheimer's disease.
CoRR, 2022

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
CoRR, 2022

Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Radiological tumour classification across imaging modality and histology.
Nat. Mach. Intell., 2021

Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
CoRR, 2021

Quantifying Structural Connectivity in Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Multi-scale segmentation in GBM treatment using diffusion tensor imaging.
Comput. Biol. Medicine, 2020

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

2012
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012


  Loading...