Items where authors include "Rittscher, J"

Article

Tomar, NK, Jha, D, Riegler, MA et al. (5 more authors) (2023) FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems, 34 (11). 9375 -9388. ISSN 2162-237X

Ali, S orcid.org/0000-0003-1313-3542, Jha, D, Ghatwary, N et al. (12 more authors) (2023) A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data, 10. 75. ISSN 2052-4463

Gupta, S, Ali, S orcid.org/0000-0003-1313-3542, Goldsmith, L et al. (2 more authors) (2022) Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy. Computerized Medical Imaging and Graphics, 101. 102112. ISSN 0895-6111

Ali, S orcid.org/0000-0003-1313-3542, Bailey, A, Ash, S et al. (7 more authors) (2021) A Pilot Study on Automatic Three-Dimensional Quantification of Barrett’s Esophagus for Risk Stratification and Therapy Monitoring. Gastroenterology, 161 (3). 865-878.e8. ISSN 0016-5085

Ali, S orcid.org/0000-0003-1313-3542, Dmitrieva, M, Ghatwary, N et al. (34 more authors) (2021) Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis, 70. 102002. ISSN 1361-8415

Jha, D, Ali, S orcid.org/0000-0003-1313-3542, Tomar, NK et al. (5 more authors) (2021) Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access, 9. pp. 40496-40510. ISSN 2169-3536

Sirinukunwattana, K, Domingo, E, Richman, SD orcid.org/0000-0003-3993-5041 et al. (21 more authors) (2021) Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning. Gut, 70. pp. 544-554. ISSN 0017-5749

Ali, S orcid.org/0000-0003-1313-3542, Zhou, F, Braden, B et al. (26 more authors) (2020) An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports, 10 (1). 2748. ISSN 2045-2322

Pell, R, Oien, K, Robinson, M et al. (28 more authors) (2019) The use of digital pathology and image analysis in clinical trials. The Journal of Pathology: Clinical Research, 5 (2). pp. 81-90. ISSN 2056-4538