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 | 118 | 2021 |
2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 74 | 2020 |
Deep human activity recognition with localisation of wearable sensors IA Lawal, S Bano IEEE Access 8, 155060-155070, 2020 | 61 | 2020 |
Deep Human Activity Recognition Using Wearable Sensors IA Lawal, S Bano Proceedings of the 12th ACM International Conference on PErvasive …, 2019 | 49 | 2019 |
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 | 45 | 2020 |
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 | 35 | 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 | 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 | 28 | 2020 |
Discovery and organization of multi-camera user-generated videos of the same event S Bano, A Cavallaro Information Sciences 302, 108-121, 2015 | 28 | 2015 |
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 | 26 | 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 | 26 | 2019 |
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 | 25 | 2022 |
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 | 24 | 2021 |
ViComp: composition of user-generated videos S Bano, A Cavallaro Multimedia tools and applications 75 (12), 7187-7210, 2016 | 20 | 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 | 19 | 2012 |
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 | 17 | 2023 |
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 | 17 | 2021 |
FetNet: A Recurrent Convolutional Network for Occlusion Identification in Fetoscopic Videos S Bano, F Vasconcelos, E Vander Poorten, T Vercauteren, S Ourselin, ... International Journal of Computer Assisted Radiology and Surgery, 2020 | 17 | 2020 |
Multimodal egocentric analysis of focused interactions S Bano, T Suveges, J Zhang, SJ Mckenna IEEE Access 6, 37493-37505, 2018 | 17 | 2018 |
Robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2018 | 17 | 2018 |