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ORCIDLaurence B. Lovat
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2020 – today
- 2024
[j8]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:
SimCol3D - 3D reconstruction during colonoscopy challenge. Medical Image Anal. 96: 103195 (2024)- 2023
- [c7]Ruth Cohen Arbiv, Laurence B. Lovat, Avi Rosenfeld, David Sarne:
Optimizing Decision Trees for Enhanced Human Comprehension. ECAI Workshops (1) 2023: 366-381 - 2022
- [j7]Juana González-Bueno Puyal, Patrick Brandao, Omer F. Ahmad, Kanwal K. Bhatia, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov:
Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Anal. 82: 102625 (2022) - [j6]Niels van Berkel, Jeremy Opie, Omer F. Ahmad, Laurence B. Lovat, Danail Stoyanov, Ann Blandford:
Initial Responses to False Positives in AI-Supported Continuous Interactions: A Colonoscopy Case Study. ACM Trans. Interact. Intell. Syst. 12(1): 2:1-2:18 (2022) - [i4]Antonio S. Soares, Sophia Bano, Neil T. Clancy, Laurence B. Lovat, Danail Stoyanov, Manish Chand:
Fluorescence angiography classification in colorectal surgery - A preliminary report. CoRR abs/2206.05935 (2022) - 2021
- [j5]Niels van Berkel, Omer F. Ahmad, Danail Stoyanov, Laurence B. Lovat, Ann Blandford:
Designing Visual Markers for Continuous Artificial Intelligence Support: A Colonoscopy Case Study. ACM Trans. Comput. Heal. 2(1): 7:1-7:24 (2021) - [i3]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:
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology. CoRR abs/2102.09963 (2021) - 2020
- [j4]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:
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. Int. J. Comput. Assist. Radiol. Surg. 15(4): 651-659 (2020) - [j3]Qi He, Sophia Bano, Omer F. Ahmad, Bo Yang, Xin Chen, Pietro Valdastri, Laurence B. Lovat, Danail Stoyanov, Siyang Zuo:
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1085-1094 (2020) - [c6]Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch:
Falls Prediction in Care Homes Using Mobile App Data Collection. AIME 2020: 403-413 - [c5]Juana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov:
Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNN. MICCAI (6) 2020: 295-305 - [i2]Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence B. Lovat, Danail Stoyanov, Peter Mountney:
Detecting small polyps using a Dynamic SSD-GAN. CoRR abs/2010.15937 (2020)
2010 – 2019
- 2019
- [j2]Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov:
Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy. Int. J. Comput. Assist. Radiol. Surg. 14(7): 1167-1176 (2019) - 2018
- [i1]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:
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia. CoRR abs/1805.00632 (2018) - 2015
- [c4]Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat:
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. DSAA 2015: 1-7 - 2014
- [c3]Avi Rosenfeld, Vinay Sehgal, David G. Graham, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat:
Using Data Mining to Help Detect Dysplasia: Extended Abstract. SwSTE 2014: 65-66 - 2012
- [j1]Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes:
Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty. Medical Image Anal. 16(2): 482-496 (2012) - 2010
- [c2]Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Tom Vercauteren, Sébastien Ourselin, David J. Hawkes:
A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations. MICCAI (2) 2010: 514-521
2000 – 2009
- 2009
- [c1]Baptiste Allain, Mingxing Hu, Laurence B. Lovat, Richard J. Cook, Sébastien Ourselin, David J. Hawkes:
Biopsy Site Re-localisation Based on the Computation of Epipolar Lines from Two Previous Endoscopic Images. MICCAI (1) 2009: 491-498
Coauthor Index
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