• Lecturer (Assistant Professor) at University of Leeds, UK
  • Adjunct Research Scientist at NAAMII (voluntary), leads computational endoscopy and surgery research
  • Former researcher at University of Oxford and DKFZ Germany

Dr. Sharib Ali is a Lecturer at the University of Leeds and leads computational endoscopy and surgery research at NAAMII in a voluntary capacity. His research advances automated systems for endoscopic procedures, including lesion segmentation, detection, 3D reconstruction, and real-world measurements. His work integrates deep learning with classical computer vision to address challenges in clinical usability, model generalization, and real-time requirements in resource-constrained settings. He has published extensively in top-tier journals and conferences including Medical Image Analysis, Pattern Recognition, IEEE TNLLS, and MICCAI. Dr. Ali previously conducted research at the University of Oxford and the German Cancer Research Center (DKFZ). At NAAMII, he mentors students from low and middle-income countries, offering research opportunities in medical and biomedical imaging.

Publications

2025
Out of Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna Gyawali, Binod Bhattarai
2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Debesh Jha, ..., Shruti Shrestha, ..., Sharib Ali, Michael A Riegler, Pål Halvorsen, Ulas Bagci, Thomas De Lange
2023
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai
2022
TGANet: Text-guided attention for improved polyp segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali
2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, JiangPeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithmi, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
2020
Ensemble U-Net model for efficient polyp segmentation