SimCol3D--3D Reconstruction during Colonoscopy Challenge
A. Rau, S. Bano, Y. Jin, et al.
arXiv preprint arXiv:2307.11261, 2023
[PDF]
Placental vessel-guided hybrid framework for fetoscopic mosaicking
S. Bano, F. Vasconcelos, A. L. David, J. Deprest, D. Stoyanov
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(4), Pages 1166-1171, 2023
[PDF]
Anomaly detection in OCT images in patients on hydroxychloroquine: A data science approach
M. Betahi, F. Vasconcelos, S. Bano, A. Goch, M. V. Sarunic, R. Asaria
Investigative Ophthalmology & Visual Science 64 (9), PB001-PB001, 2023
[PDF]
PseudoSegRT: efficient pseudo-labelling for intraoperative OCT segmentation
Y. Huang, R. Asaria, D. Stoyanov, M. Sarunic, S. Bano
International Journal of Computer Assisted Radiology and Surgery, 18, pages 1245–1252, 2023
[PDF]
SurgT: Soft-Tissue Tracking for Robotic Surgery, Benchmark and Challenge
J. Cartucho, et al.
arXiv preprint arXiv:2302.03022, 2023
[PDF]
Why is the winner the best?
M. Eisenmann, et al.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
[PDF]
Query2: Query over queries for improving gastrointestinal stromal tumour detection in an endoscopic ultrasound
Q. He, S. Bano, J Liu, W Liu, D Stoyanov, S Zuo
Computers in Biology and Medicine 152, 106424, 2023
[PDF]
Biomedical image analysis competitions: The state of current participation practice
M. Eisenmann et al.
arXiv preprint arXiv:2212.08568, 2023
[PDF]
Retrieval of Surgical Phase Transitions Using Reinforcement Learning
Y. Zhang, S. Bano, A. S. Page, J. Deprest, D. Stoyanov, F. Vasconcelos
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, pp 497–506, 2022
[PDF][Poster]
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
N. Avisdris, L. Joskowicz, B. Dromey, A. L. David, D. M. Peebles, D. Stoyanov, D. B. Bashat, S. Bano
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, pp 279–289, 2022
[PDF][Poster][Code]
Interobserver Variability in the Assessment of Fluorescence Angiography in the Colon
A. S. Soares, N. T. Clancy, S. Bano, I. Raza, M. Diana, L. B. Lovat, D. Stoyanov, M. Chand
Surgical Innovation, DOI: 15533506221132681, 2022
[PDF]
Digital transformation of surgical services with a focus on patient wearables
J. W. Collins, P. Khetrapal, A. Sridhar, A. Hung, A. Ghazi, M. Slack, S. Bishop, Y. Wang, L. Maier-Hein, M. Anvari, H. Nakawala, P. Garcia, A. Jarc, S. Bano, A. Nathan, E. Percy, J. Burke, D. Stoyanov, J. Kelly
European Urology Open Science Vol.44, S340-S341, 2022
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
A. Casella, S. Bano, F. Vasconcelos, A. L. David, D. Paladini, J. Deprest, E. D. Momi, L. S. Mattos, S. Moccia, D. Stoyanov
arXiv preprint arXiv:2207.13185, 2022
[PDF]
Intrinsic force sensing for motion estimation in a parallel, fluidic soft robot for endoluminal interventions
L. Lindenroth, J. Merlin, S. Bano, J. G. Manjaly, N Mehta, D. Stoyanov
IEEE Robotics and Automation Letters, 7(4), 10581-10588, 2022
[PDF]
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy
S. Bano, A. Casella, F. Vasconcelos et al.
arXiv preprint arXiv:2206.12512, 2022
[PDF]
Fluorescence angiography classification in colorectal surgery--A preliminary report
A. S. Soares, S. Bano, N. T. Clancy, L. B. Lovat, D. Stoyanov, M. Chand
arXiv preprint arXiv:2206.05935, 2022
[PDF]
Robust fetoscopic mosaicking from deep learned flow fields
O. Alabi, S. Bano, F. Vasconcelos, A. L. David, J. Deprest, D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery, Vol.17, pp. 1125-1134, 2022
[PDF]
DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery
Y. Pan, S. Bano, F. Vasconcelos, H. Park, T. T. Jeong, D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery, Vol.17, pp. 885-893, 2022
[PDF][Talk][Data][Code]
Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery
A. Das, S. Bano, F. Vasconcelos, D. Z. Khan, H. J. Marcus, D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery, Vol.17, pp. 1445–1452, 2022
[PDF]
Multisensor perfusion assessment cohort study: Preliminary evidence toward a standardized assessment of indocyanine green fluorescence in colorectal surgery
A. S. Soares, S. Bano, N. T. Clancy, D. Stoyanov, L. B. Lovat, M. Chand
Surgery, Vol.172(1), pp 69-73, 2022
[PDF]
Large-scale Surgical Workflow Segmentation for Laparoscopic
Sacrocolpopexy
Y. Zhang, S. Bano, P. Ann-Sophie, J. Deprest, F. Vasconcelos, D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery, Vol.17, pp. 467–477, 2022
[PDF]
Intraoperative colon perfusion assessment using multispectral imaging
N. T. Clancy, A. S. Soares, S. Bano, L. B. Lovat, M. Chand, D. Stoyanov
Biomedical Optics Express 12 (12), 7556-7567, 2021
[PDF]
2020 CATARACTS Semantic Segmentation Challenge
I. Luengo, et al.
arXiv preprint arXiv:2110.10965, 2021
[PDF]
First-in-human pilot study of snapshot multispectral endoscopy for early detection of Barrett’s-related neoplasia
D. J. Waterhouse, S. Bano, W. Januszewicz, D. Stoyanov, R. C. Fitzgerald, M. D. Pietro, S.E. Bohndiek
Journal of biomedical optics 26 (10), 106002, 2021
[PDF]
Dataset for: First-in-human pilot study of snapshot multispectral endoscopy for early detection of Barrett's-related neoplasia
D. J. Waterhouse, S. Bano, W. Januszewicz, D. Stoyanov, R. C. Fitzgerald, M. D. Pietro, S.E. Bohndiek
10.17863/CAM.76523, 2021
[Link]
Stain-free Identification of Tissue Pathology using a Generative Adversarial Network to Infer Nanomechanical Signatures
L. Neary-Zajiczek, C. Essmann, A. Rau, S. Bano, N. Clancy, M. Jansen, L. Heptinstall, E. Miranda, A. Gander, V. Pawar, D. Fernandez-Reyes, M. Shaw, B. Davidson, & D. Stoyanov
Nanoscale Advances 3 (22), 6403-6414, 2021
[PDF]
Globally Optimal Fetoscopic Mosaicking Based on Pose Graph Optimisation with Affine Constraints
L. Li, S. Bano, J. Deprest, A. David, D. Stoyanov, & F. Vasconcelos
IEEE Robotics and Automation Letters, 6(4), 7831-7838, 2021
[PDF]
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
S. Bano, B. Dromey, F. Vasconcelos, R. Napolitano, A. L. David, D. M. Peebles, D. Stoyanov
24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, 2021
[MICCAI2021 talk] [PDF] [Slides] [Poster]
Automating Periodontal Bone Loss Measurement via Dental Landmark Localisation
R. P. Danks, S. Bano, A. Orishko, H. J. Tan, F. M. Sancho, F. D'Aiuto, & D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol.16, pp. 1189–1199, 2021
[PDF] [IPCAI2021 talk] [Slides]
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset
S. Bano, A. Casella, F. Vasconcelos, S. Moccia, G. Attilakos, R. Wimalasundera, A. L. David, D. Paladini, J. Deprest, E. D. Momi, L. S. Mattos, D. Stoyanov
arXiv preprint arXiv:2106.05923, 2021
[PDF]
A Fluidic Soft Robot for Needle Guidance and Motion Compensation in Intratympanic Steroid Injections
L. Lindenroth, S. Bano, A. Stilli, J. G. Manjaly, & D. Stoyanov
IEEE Robotics and Automation Letters, 6(2), 871-878, 2021
[PDF]
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 et al.
Medical Image Analysis, 70, 102002, 2021
[PDF]
Hybrid Loss with Network Trimming for Disease Recognition in Gastrointestinal Endoscopy
Q. He, S. Bano, D. Stoyanov, S. Zuo
International Conference on Pattern Recognition, ICPR International Workshops and Challenges, pp. 299-306, Springer, 2021
[PDF][Top ranked in EndoTect Challenge]
Deep Learning-based Fetoscopic Mosaicking for Field-of-View Expansion
S. Bano, F. Vasconcelos, M. Tella Amo, G. Dwyer, C. Gruijthuijsen, J. Deprest, S. Ourselin, E. Vander Poorten, T. Vercauteren, D. Stoyanovv
International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 15 (11), pp. 1807-1816, 2020
[PDF] [Talk][IJCARS - MICCAI2019 Best Paper Award]
Deep Human Activity Recognition with Localisation of Wearable Sensors
IA. Lawal and S. Bano
IEEE Access, Vol. 8, 2020
[PDF]
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
S. Bano, F. Vasconcelos, L. M. Shepherd, E. Vander Poorten, T. Vercauteren, S. Ourselin, A. L. David, J. Deprest, D. Stoyanov
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 763-773, Springer, 2020
[arxiv-preprint] [Data] [Video] [MICCAI2020 talk]
FetNet: A Recurrent Convolutional Network for Occlusion Identification in Fetoscopic Videos
S. Bano, F. Vasconcelos, E. Vander Poorten, T. Vercauteren, S. Ourselin, J. Deprest, D. Stoyanov
International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 15, pp. 791–801, 2020
[PDF] [Video] [IPCAI2020 talk] [Slides]
Deep Learning Based Anatomical Site Classification for Upper Gastrointestinal Endoscopy
Q. He, S. Bano, O. F. Ahmad, B. Yang, X. Chen, P. Valdastri, D. Stoyanov, S. Zuo
International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 15, pp. 1085–1094, 2020
[PDF] [IPCAI2020 talk] [Slides]
2018 Robotic Scene Segmentation Challenge
M. Allan, et al.
arXiv preprint arXiv:2001.11190, 2020
[PDF]