Benjamin Irving

Orcid: 0000-0003-3879-2050

According to our database1, Benjamin Irving authored at least 24 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification.
ACM Trans. Comput. Heal., July, 2024

MEANT: Multimodal Encoder for Antecedent Information.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Related Work Is All You Need.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients.
CoRR, 2022

2020
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients.
CoRR, 2020

Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units.
CoRR, 2020

2019
Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images.
IEEE Trans. Medical Imaging, 2019

Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
Automated Detection of Cystic Lesions in Quantitative T1 Liver Images.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

2017
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks.
CoRR, 2017

Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation.
Medical Image Anal., 2016

Oncological image analysis.
Medical Image Anal., 2016

SLIC in a defined mask with applications to medical imaging.
CoRR, 2016

Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016

2015
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014
Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis.
Medical Image Anal., 2014

Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

2012
Extraction of Airways From CT (EXACT'09).
IEEE Trans. Medical Imaging, 2012

2011
Identification of Paediatric Tuberculosis from Airway Shape Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Segmentation of obstructed airway branches in CT using airway topology and statistical shape analysis.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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