Laurence B. Lovat

21 papers B 2Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel cloud-based artificial intelligence for real-time detection of colorectal neoplasia - a randomized controlled trial (EAGLE).
npj Digit. Medicine
Rawen Kader, Cesare Hassan, Angel Lanas, Marcin Romanczyk, Tomasz Romanczyk, Bronislaw Kotowski, Carlos Sostres Homedes, Benedetto Mangiavillano, Giacomo Bonanno, Laurence B. Lovat, Michal Kaminski, Siegbert Faiss, Alessandro Repici
2025 J jnl
NICE polyp feature classification for colonoscopy screening.
Int. J. Comput. Assist. Radiol. Surg.
Thomas De Carvalho, Rawen Kader, Patrick Brandao, Laurence B. Lovat, Peter Mountney, Danail Stoyanov
2024 J jnl
SimCol3D - 3D reconstruction during colonoscopy challenge.
Medical Image Anal.
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
2023 — conf
Optimizing Decision Trees for Enhanced Human Comprehension.
ECAI Workshops (1)
Ruth Cohen Arbiv, Laurence B. Lovat, Avi Rosenfeld, David Sarne
2022 J jnl
Fluorescence angiography classification in colorectal surgery - A preliminary report.
CoRR
Antonio S. Soares, Sophia Bano, Neil T. Clancy, Laurence B. Lovat, Danail Stoyanov, Manish Chand
2022 J jnl
Initial Responses to False Positives in AI-Supported Continuous Interactions: A Colonoscopy Case Study.
ACM Trans. Interact. Intell. Syst.
Niels van Berkel, Jeremy Opie, Omer F. Ahmad, Laurence B. Lovat, Danail Stoyanov, Ann Blandford
2022 J jnl
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN.
Medical Image Anal.
Juana González-Bueno Puyal, Patrick Brandao, Omer F. Ahmad, Kanwal K. Bhatia, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov
2021 J jnl
Designing Visual Markers for Continuous Artificial Intelligence Support: A Colonoscopy Case Study.
ACM Trans. Comput. Heal.
Niels van Berkel, Omer F. Ahmad, Danail Stoyanov, Laurence B. Lovat, Ann Blandford
2021 J jnl
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology.
CoRR
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
2020 J jnl
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.
Int. J. Comput. Assist. Radiol. Surg.
Qi He, Sophia Bano, Omer F. Ahmad, Bo Yang, Xin Chen, Pietro Valdastri, Laurence B. Lovat, Danail Stoyanov, Siyang Zuo
2020 J jnl
Detecting small polyps using a Dynamic SSD-GAN.
CoRR
Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence B. Lovat, Danail Stoyanov, Peter Mountney
2020 — conf
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN.
MICCAI (6)
Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov
2020 B conf
Falls Prediction in Care Homes Using Mobile App Data Collection.
AIME
Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch
2020 J jnl
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.
Int. J. Comput. Assist. Radiol. Surg.
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
2019 J jnl
Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy.
Int. J. Comput. Assist. Radiol. Surg.
Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov
2018 J jnl
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.
CoRR
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
2015 B conf
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer.
DSAA
Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat
2014 — conf
Using Data Mining to Help Detect Dysplasia: Extended Abstract.
SwSTE
Avi Rosenfeld, Vinay Sehgal, David G. Graham, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat
2012 J jnl
Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.
Medical Image Anal.
Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes
2010 — conf
A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations.
MICCAI (2)
Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes
2009 — conf
Biopsy Site Re-localisation Based on the Computation of Epipolar Lines from Two Previous Endoscopic Images.
MICCAI (1)
Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Sébastien Ourselin, David J. Hawkes