Items where Author / Artist / Editor is "Braden, Barbara"

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Number of items: 7.

Article

Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Taylor, Stephen, Pang, Wei, Hui, Rui, Lu, Xin and Braden, Barbara (2022) Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Information Fusion . ISSN 1566-2535 [Article] (Accepted/In press) (doi:10.1016/j.inffus.2022.11.023)

Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624 and Braden, Barbara (2021) Artificial intelligence in endoscopy: the challenges and future directions. Artifical Intelligence in Gastrointestinal Endoscopy, 2 (4) . pp. 117-126. ISSN 2689-7164 [Article] (doi:10.37126/aige.v2.i4.117)

Ali, Sharib, Dmitrieva, Mariia, Ghatwary, Noha, Bano, Sophia, Polat, Gorkem, Temizel, Alptekin, Krenzer, Adrian, Hekalo, Amar, Guo, Yun Bo, Matuszewski, Bogdan, Gridach, Mourad, Voiculescu, Irina, Yoganand, Vishnusai, Chavan, Arnav, Raj, Aryan, Nguyen, Nhan T., Tran, Dat Q., Huynh, Le Duy, Boutry, Nicolas, Rezvy, Shahadate ORCID logoORCID: https://orcid.org/0000-0002-2684-7117, Chen, Haijian, Choi, Yoon Ho, Subramanian, Anand, Balasubramanian, Velmurugan, Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Hu, Hongyu, Liao, Yusheng, Stoyanov, Danail, Daul, Christian, Realdon, Stefano, Cannizzaro, Renato, Lamarque, Dominique, Tran-Nguyen, Terry, Bailey, Adam, Braden, Barbara, East, James E. and Rittscher, Jens (2021) Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis, 70 , 102002. ISSN 1361-8415 [Article] (doi:10.1016/j.media.2021.102002)

Ali, Sharib, Zhou, Felix, Braden, Barbara, Bailey, Adam, Yang, Suhui, Cheng, Guanju, Zhang, Pengyi, Li, Xiaoqiong, Kayser, Maxime, Soberanis-Mukul, Roger D., Albarqouni, Shadi, Wang, Xiaokang, Wang, Chunqing, Watanabe, Seiryo, Oksuz, Ilkay, Ning, Qingtian, Yang, Shufan, Khan, Mohammad Azam, Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Realdon, Stefano, Loshchenov, Maxim, Schnabel, Julia A., East, James E., Wagnieres, Georges, Loschenov, Victor B., Grisan, Enrico, Daul, Christian, Blondel, Walter and Rittscher, Jens (2020) An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports, 10 (1) , 2748. pp. 1-15. ISSN 2045-2322 [Article] (doi:10.1038/s41598-020-59413-5)

Conference or Workshop Item

Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Taylor, Stephen, Pang, Wei, Lu, Xin and Braden, Barbara (2022) Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. Proceedings Volume 12033, Medical Imaging 2022: Computer-Aided Diagnosis. In: SPIE Medical Imaging: Computer-Aided Diagnosis, 21-24 Feb 2022, San Diego, USA. . ISSN 0277-786X [Conference or Workshop Item] (doi:10.1117/12.2611409)

Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Braden, Barbara, Zhang, Leishi ORCID logoORCID: https://orcid.org/0000-0002-3158-2328, Taylor, Stephen, Pang, Wei and Petridis, Miltos (2020) Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer. Expert Update: Spring 2020 (Vol. 20, No. 1). In: 24th UK Symposium on Case-Based Reasoning (UKCBR 2019), 17 Dec 2019, Cambridge, UK. . ISSN 1465-4091 [Conference or Workshop Item]

Gao, Xiaohong W. ORCID logoORCID: https://orcid.org/0000-0002-8103-6624, Braden, Barbara, Taylor, Stephen and Pang, Wei (2019) Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos. Proceedings: 2019 18th IEEE International Conference on Machine Learning and Applications. In: ICMLA 2019, 16-19 Dec 2019, Boca Raton, Florida, USA. e-ISBN 9781728145501. [Conference or Workshop Item] (doi:10.1109/ICMLA.2019.00264)

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