Geoffrey S. Young

According to our database1, Geoffrey S. Young authored at least 25 papers between 2003 and 2025.

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Bibliography

2025
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection.
CoRR, July, 2025

Anatomically-guided masked autoencoder pre-training for aneurysm detection.
CoRR, February, 2025

Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation.
CoRR, February, 2025

2024
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Vessel-Aware Aneurysm Detection Using Multi-scale Deformable 3D Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges.
Proceedings of the Conference on Health, 2024

2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A new framework of designing iterative techniques for image deblurring.
Pattern Recognit., 2022

That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization.
IEEE Trans. Vis. Comput. Graph., 2020

A neural network approach to segment brain blood vessels in digital subtraction angiography.
Comput. Methods Programs Biomed., 2020

Query-Focused EHR Summarization to Aid Imaging Diagnosis.
Proceedings of the Machine Learning for Healthcare Conference, 2020

A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019
A new design in iterative image deblurring for improved robustness and performance.
Pattern Recognit., 2019

CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization.
CoRR, 2019

2010
PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
Comput. Medical Imaging Graph., 2009

2007
Least-square conformal brain mapping with spring energy.
Comput. Medical Imaging Graph., 2007

Using Coherent Anti-Stokes Raman Scattering (CARS) to Image Brain Tissues.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
76-Space analysis of grey matter diffusivity: Methods and applications.
NeuroImage, 2006

Least square conformal mapping with spring energy.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Deformation invariant attribute vector for 3D image registration: method and validation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Brain tissue segmentation based on DWI/DTI data.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2003
Quantitative effectiveness analysis of radiation therapy in temporal lobe epilepsy using diffusion tensor imaging techniques.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003


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