Sophia Bano

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Danail StoyanovProfessor of Robot Vision, University College London在 ucl.ac.uk 的电子邮件经过验证
Francisco VasconcelosLecturer in Robotics and Computation @ UCL, London, United Kingdom在 ucl.ac.uk 的电子邮件经过验证
Laurence LovatProfessor of Gastroenterology & Biophotonics, University College London在 ucl.ac.uk 的电子邮件经过验证
Hani MarcusNational Hospital for Neurology and Neurosurgery; UCL Queen Square Institute of Neurology在 ucl.ac.uk 的电子邮件经过验证
Tom VercauterenProfessor of Interventional Image Computing, King's College London在 kcl.ac.uk 的电子邮件经过验证
Sebastien OurselinProfessor of Healthcare Engineering, King's College London在 kcl.ac.uk 的电子邮件经过验证
Emmanuel Vander PoortenAssoc. Prof. Dept. Mechanical Engineering, KU Leuven在 kuleuven.be 的电子邮件经过验证
Isah A. LawalDepartment of Applied Data Science, Noroff University College在 noroff.no 的电子邮件经过验证
Manish ChandUniversity College London在 manishchandsurgeon.co.uk 的电子邮件经过验证
Siyang ZuoProfessor, Tianjin University在 tju.edu.cn 的电子邮件经过验证
Lukas LindenrothLecturer in Surgical Robotics in the Surgical & Interventional Engineering Department at King's在 kcl.ac.uk 的电子邮件经过验证
Andrea CavallaroDirector, Idiap Research Institute; Professor, EPFL在 epfl.ch 的电子邮件经过验证
Agostino StilliAssociate Professor, University College London在 ucl.ac.uk 的电子邮件经过验证
Elena De MomiPolitecnico di Milano在 polimi.it 的电子邮件经过验证
Leonardo S. MattosHead of the Biomedical Robotics Lab at Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
Stephen McKennaProfessor, University of Dundee在 computing.dundee.ac.uk 的电子邮件经过验证
Pietro ValdastriProfessor of Robotics and Autonomous Systems, University of Leeds在 leeds.ac.uk 的电子邮件经过验证
Anna David PhD FRCOG MB ChB BSc...Professor of Obstetrics and Maternal Fetal Medicine, University College London在 ucl.ac.uk 的电子邮件经过验证
Islem RekikBASIRA lab在 imperial.ac.uk 的电子邮件经过验证
Ferdinando Rodriguez y BaenaImperial College在 imperial.ac.uk 的电子邮件经过验证

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Sophia Bano

Assistant Professor in Robotics and AI, University College London

在 ucl.ac.uk 的电子邮件经过验证 - 首页

Computer Vision Surgical Data Science Surgical Robotics Computer-assisted Intervention Medical Imaging


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021	137	2021
2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020	102	2020
Deep human activity recognition with localisation of wearable sensors IA Lawal, S Bano IEEE Access 8, 155060-155070, 2020	70	2020
Deep placental vessel segmentation for fetoscopic mosaicking S Bano, F Vasconcelos, LM Shepherd, E Vander Poorten, T Vercauteren, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	55	2020
Automating Periodontal bone loss measurement via dental landmark localisation RP Danks, S Bano, A Orishko, HJ Tan, F Moreno Sancho, F D’Aiuto, ... International Journal of Computer Assisted Radiology and Surgery 16 (7 …, 2021	53	2021
Deep Human Activity Recognition Using Wearable Sensors IA Lawal, S Bano Proceedings of the 12th ACM International Conference on PErvasive …, 2019	53	2019
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy Q He, S Bano, OF Ahmad, B Yang, X Chen, P Valdastri, LB Lovat, ... International journal of computer assisted radiology and surgery 15, 1085-1094, 2020	45	2020
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022	34	2022
AutoFB: automating fetal biometry estimation from standard ultrasound planes S Bano, B Dromey, F Vasconcelos, R Napolitano, AL David, DM Peebles, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	33	2021
Deep learning-based fetoscopic mosaicking for field-of-view expansion S Bano, F Vasconcelos, M Tella-Amo, G Dwyer, C Gruijthuijsen, ... International journal of computer assisted radiology and surgery 15, 1807-1816, 2020	31	2020
Discovery and organization of multi-camera user-generated videos of the same event S Bano, A Cavallaro Information Sciences 302, 108-121, 2015	29	2015
A fluidic soft robot for needle guidance and motion compensation in intratympanic steroid injections L Lindenroth, S Bano, A Stilli, JG Manjaly, D Stoyanov IEEE Robotics and Automation Letters 6 (2), 871-878, 2021	28	2021
Deep sequential mosaicking of fetoscopic videos S Bano, F Vasconcelos, M Tella Amo, G Dwyer, C Gruijthuijsen, J Deprest, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	28	2019
Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	27	2023
Robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2018	23	2018
Multimodal egocentric analysis of focused interactions S Bano, T Suveges, J Zhang, SJ Mckenna IEEE Access 6, 37493-37505, 2018	21	2018
ViComp: composition of user-generated videos S Bano, A Cavallaro Multimedia tools and applications 75 (12), 7187-7210, 2016	21	2016
Smooth path planning for a biologically-inspired neurosurgical probe S Bano, SY Ko, FR y Baena 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012	21	2012
Intraoperative colon perfusion assessment using multispectral imaging NT Clancy, AS Soares, S Bano, LB Lovat, M Chand, D Stoyanov Biomedical Optics Express 12 (12), 7556-7567, 2021	20	2021
FetReg: Placental vessel segmentation and registration in fetoscopy challenge dataset S Bano, A Casella, F Vasconcelos, S Moccia, G Attilakos, ... arXiv preprint arXiv:2106.05923, 2021	20	2021

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