Laurence B. Lovat

According to our database, Laurence B. Lovat authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SimCol3D - 3D reconstruction during colonoscopy challenge.

Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Rawen Kader, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, Laurence B. Lovat, José M. M. Montiel, Danail Stoyanov

Medical Image Anal., 2024

2023

Optimizing Decision Trees for Enhanced Human Comprehension.

Ruth Cohen Arbiv, Laurence B. Lovat, Avi Rosenfeld, David Sarne

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Initial Responses to False Positives in AI-Supported Continuous Interactions: A Colonoscopy Case Study.

Niels van Berkel, Jeremy Opie, Omer F. Ahmad, Laurence B. Lovat, Danail Stoyanov, Ann Blandford

ACM Trans. Interact. Intell. Syst., 2022

Polyp detection on video colonoscopy using a hybrid 2D/3D CNN.

Juana González-Bueno Puyal, Patrick Brandao, Omer F. Ahmad, Kanwal K. Bhatia, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Medical Image Anal., 2022

Fluorescence angiography classification in colorectal surgery - A preliminary report.

Antonio S. Soares, Sophia Bano, Neil T. Clancy, Laurence B. Lovat, Danail Stoyanov, Manish Chand

CoRR, 2022

2021

Designing Visual Markers for Continuous Artificial Intelligence Support: A Colonoscopy Case Study.

Niels van Berkel, Omer F. Ahmad, Danail Stoyanov, Laurence B. Lovat, Ann Blandford

ACM Trans. Comput. Heal., 2021

2020

Detecting small polyps using a Dynamic SSD-GAN.

Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence B. Lovat, Danail Stoyanov, Peter Mountney

CoRR, 2020

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.

Qi He, Sophia Bano, Omer F. Ahmad, Bo Yang, Xin Chen, Pietro Valdastri, Laurence B. Lovat, Danail Stoyanov, Siyang Zuo

Int. J. Comput. Assist. Radiol. Surg., 2020

Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.

Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren

Int. J. Comput. Assist. Radiol. Surg., 2020

Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN.

Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Falls Prediction in Care Homes Using Mobile App Data Collection.

Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy.

Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.

Luis C. García-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer F. Ahmad, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin

CoRR, 2018

2015

MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer.

Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Using Data Mining to Help Detect Dysplasia: Extended Abstract.

Avi Rosenfeld, Vinay Sehgal, David G. Graham, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

Proceedings of the 2014 IEEE International Conference on Software Science, 2014

2012

Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.

Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes

Medical Image Anal., 2012

2010

A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations.

Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

Biopsy Site Re-localisation Based on the Computation of Epipolar Lines from Two Previous Endoscopic Images.

Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Sébastien Ourselin, David J. Hawkes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009