Segmentation of obstructed airway branches in CT using airway topology and statistical shape analysis. - Benjamin Irving; Pierre Goussard; Robert Gie; Andrew Todd-Pokropek; Paul Taylor (ISBI, 2011)

Identification of Paediatric Tuberculosis from Airway Shape Features. - Benjamin Irving; Pierre Goussard; Robert Gie; Andrew Todd-Pokropek; Paul Taylor (MICCAI (3), 2011)

Extraction of Airways From CT (EXACT'09). - Pechin Lo; Bram van Ginneken; Joseph M. Reinhardt; Tarunashree Yavarna; Pim A. de Jong; Benjamin Irving; Catalin I. Fetita; Margarete Ortner; Romulo Pinho; Jan Sijbers; Marco Feuerstein; Anna Fabijanska; et al. (IEEE Trans. Medical Imaging, 2012)

Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI. - Benjamin Irving; Lydia Tanner; Monica Enescu; Manav Bhushan; Esme J. Hill; Jamie Franklin; Ewan M. Anderson; Ricky A. Sharma; Julia A. Schnabel; Michael Brady 001 (Abdominal Imaging, 2013)

Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. - Benjamin Irving; Amalia Cifor; Bartlomiej W. Papiez; Jamie Franklin; Ewan M. Anderson; Michael Brady 001; Julia A. Schnabel (MICCAI (1), 2014)

Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis. - Benjamin J. Irving; Pierre Goussard; Savvas Andronikou; Robert Gie; Tania S. Douglas; Andrew Todd-Pokropek; Paul Taylor (Medical Image Anal., 2014)

Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. - Russell Bates; Laurent Risser; Benjamin Irving; Bartlomiej W. Papiez; Pavitra Kannan; Veerle Kersemans; Julia A. Schnabel (MICCAI (3), 2015)

Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains. - Iulia A. Popescu; Benjamin Irving; Alessandra Borlotti; Erica Dall' Armellina; Vicente Grau (STACOM@MICCAI, 2016)

SLIC in a defined mask with applications to medical imaging. - Benjamin Irving (CoRR, 2016)

Oncological image analysis. - J. Michael Brady; Ralph Highnam; Benjamin Irving; Julia A. Schnabel (Medical Image Anal., 2016)

Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. - Benjamin Irving; James M. Franklin; Bartlomiej W. Papiez; Ewan M. Anderson; Ricky A. Sharma; Fergus V. Gleeson; Mike Brady 001; Julia A. Schnabel (Medical Image Anal., 2016)

Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment. - Benjamin Irving; Chloe Hutton; Andrea Dennis; Sid Vikal; Marija Mavar; Matthew Kelly; J. Michael Brady (MIUA, 2017)

Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. - Russell Bates; Benjamin Irving; Bostjan Markelc; Jakob Kaeppler; Ruth J. Muschel; Vicente Grau; Julia A. Schnabel (CoRR, 2017)

Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease. - Katherine Arndtz; Benjamin Irving; Peter Eddowes; Dan Green; Matthew Kelly; Naomi Jayaratne; Rajarshi Banerjee; Michael Brady 001; Gideon M. Hirschfield (MIUA, 2018)

Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence. - Benjamin Irving; Chloe Hutton; Katherine Arndtz; Naomi Jayaratne; Matthew Kelly; Rajarshi Banerjee; Gideon M. Hirschfield; J. Michael Brady (MIUA, 2018)

Automated Detection of Cystic Lesions in Quantitative T1 Liver Images. - Marta Wojciechowska; Benjamin Irving; Andrea Dennis; Henry R. Wilman; Rajarshi Banerjee; Michael Brady 001; Matthew Kelly (MIUA, 2018)

Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI. - James Owler; Ben Irving; Ged Ridgway; Marta Wojciechowska; John McGonigle; Michael Brady 001 (MIUA, 2019)

Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. - Russell Bates; Benjamin Irving; Bostjan Markelc; Jakob Kaeppler; Graham Brown; Ruth J. Muschel; J. Michael Brady; Vicente Grau; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2019)

Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. - Fernando Andreotti; Frank S. Heldt; Basel Abu-Jamous; Ming Li; Avelino Javer; Oliver Carr; Stojan Jovanovic; Nadezda Lipunova; Benjamin Irving; Rabia T. Khan; Robert Dürichen (CoRR, 2020)

Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. - Oliver Carr; Stojan Jovanovic; Luca Albergante; Fernando Andreotti; Robert Dürichen; Nadia Lipunova; Janie Baxter; Rabia T. Khan; Benjamin Irving (CoRR, 2020)

Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients. - Sai Vidyaranya Nuthalapati; Marcela Vizcaychipi; Pallav Shah; Piotr Chudzik; Chee Hau Leow; Paria Yousefi; Ahmed Selim; Keiran Tait; Ben Irving (CoRR, 2022)

Related Work Is All You Need. - Rodolfo Joel Zevallos Salazar; John E. Ortega; Benjamin Irving (LREC/COLING, 2024)

MEANT: Multimodal Encoder for Antecedent Information. - Benjamin Irving; Annika Marie Schoene (EMNLP, 2024)

HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification. - Alex Moore; Bastien Orset; Arrash Yassaee; Benjamin Irving; Davide Morelli (ACM Trans. Comput. Heal., 2024)