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ORCIDBenjamin Irving
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2020 – today
- 2024
[j6]Alex Moore
, Bastien Orset, Arrash Yassaee, Benjamin Irving, Davide Morelli:
HEalthRecordBERT (HERBERT): Leveraging Transformers on Electronic Health Records for Chronic Kidney Disease Risk Stratification. ACM Trans. Comput. Heal. 5(3): 18:1-18:18 (2024)- [c12]Rodolfo Joel Zevallos Salazar, John E. Ortega, Benjamin Irving:
Related Work Is All You Need. LREC/COLING 2024: 13874-13878 - 2022
- [i6]Sai Vidyaranya Nuthalapati, Marcela Vizcaychipi, Pallav Shah, Piotr Chudzik, Chee Hau Leow, Paria Yousefi, Ahmed Selim, Keiran Tait, Ben Irving:
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients. CoRR abs/2205.05009 (2022) - 2020
- [i5]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:
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. CoRR abs/2007.08491 (2020) - [i4]Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia T. Khan, Benjamin Irving:
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. CoRR abs/2012.13233 (2020)
2010 – 2019
- 2019
- [j5]Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Graham Brown, Ruth J. Muschel, J. Michael Brady, Vicente Grau, Julia A. Schnabel:
Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. IEEE Trans. Medical Imaging 38(1): 1-10 (2019) - [c11]James Owler, Ben Irving, Ged Ridgway, Marta Wojciechowska, John McGonigle, Michael Brady:
Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI. MIUA 2019: 478-488 - 2018
- [c10]Katherine Arndtz, Benjamin Irving, Peter Eddowes, Dan Green, Matthew Kelly, Naomi Jayaratne, Rajarshi Banerjee, Michael Brady, Gideon M. Hirschfield:
Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease. MIUA 2018: 37-43 - [c9]Benjamin Irving, Chloe Hutton, Katherine Arndtz, Naomi Jayaratne, Matthew Kelly, Rajarshi Banerjee, Gideon M. Hirschfield, J. Michael Brady:
Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence. MIUA 2018: 44-50 - [c8]Marta Wojciechowska, Benjamin Irving, Andrea Dennis, Henry R. Wilman, Rajarshi Banerjee, Michael Brady, Matthew Kelly:
Automated Detection of Cystic Lesions in Quantitative T1 Liver Images. MIUA 2018: 51-56 - 2017
- [c7]Benjamin Irving, Chloe Hutton, Andrea Dennis, Sid Vikal, Marija Mavar, Matthew Kelly, J. Michael Brady:
Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment. MIUA 2017: 663-673 - [i3]Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Ruth J. Muschel, Vicente Grau, Julia A. Schnabel:
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. CoRR abs/1705.09597 (2017) - 2016
- [j4]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, Mike Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Anal. 32: 69-83 (2016) - [j3]J. Michael Brady, Ralph Highnam, Benjamin Irving, Julia A. Schnabel:
Oncological image analysis. Medical Image Anal. 33: 7-12 (2016) - [c6]Iulia A. Popescu, Benjamin Irving, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau:
Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains. STACOM@MICCAI 2016: 182-190 - [i2]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, J. Michael Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. CoRR abs/1604.05210 (2016) - [i1]Benjamin Irving:
SLIC in a defined mask with applications to medical imaging. CoRR abs/1606.09518 (2016) - 2015
- [c5]Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel:
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) 2015: 157-164 - 2014
- [j2]Benjamin J. Irving, Pierre Goussard, Savvas Andronikou, Robert Gie, Tania S. Douglas, Andrew Todd-Pokropek, Paul Taylor:
Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis. Medical Image Anal. 18(7): 963-976 (2014) - [c4]Benjamin Irving, Amalia Cifor, Bartlomiej W. Papiez, Jamie Franklin, Ewan M. Anderson, Michael Brady, Julia A. Schnabel:
Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. MICCAI (1) 2014: 609-616 - 2013
- [c3]Benjamin Irving, Lydia Tanner, Monica Enescu, Manav Bhushan, Esme J. Hill, Jamie Franklin, Ewan M. Anderson, Ricky A. Sharma, Julia A. Schnabel, Michael Brady:
Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI. Abdominal Imaging 2013: 126-135 - 2012
- [j1]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, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - 2011
- [c2]Benjamin Irving, Pierre Goussard, Robert Gie, Andrew Todd-Pokropek, Paul Taylor:
Segmentation of obstructed airway branches in CT using airway topology and statistical shape analysis. ISBI 2011: 447-451 - [c1]Benjamin Irving, Pierre Goussard, Robert Gie, Andrew Todd-Pokropek, Paul Taylor:
Identification of Paediatric Tuberculosis from Airway Shape Features. MICCAI (3) 2011: 133-140
Coauthor Index
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