Sharib Ali
Orcid: 0000-0003-1313-3542Affiliations:
- University of Oxford, Department of Engineering Science, UK
- University of Heidelberg, German Cancer Research Center, Germany (2015 - 2018)
- University of Lorraine, Nancy, France (PhD 2016)
- University of Burgundy, Dijon, France (former)
According to our database1,
Sharib Ali
authored at least 90 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy.
Medical Image Anal., 2025
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge.
Medical Image Anal., 2025
2024
SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image Analysis.
IEEE Trans. Medical Imaging, December, 2024
SSTFB: Leveraging self-supervised pretext learning and temporal self-attention with feature branching for real-time video polyp segmentation.
CoRR, 2024
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion.
CoRR, 2024
Robust and smooth Couinaud segmentation via anatomical structure-guided point-voxel network.
Comput. Biol. Medicine, 2024
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Improving NeRF Representation with No Pose Prior for Novel View Synthesis in Colonoscopy.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024
Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++.
Proceedings of the Advances in Computational Intelligence, 2024
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
A semi-supervised Teacher-Student framework for surgical tool detection and localization.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Cancer Prevention Through Early Detection, 2023
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions.
npj Digit. Medicine, 2022
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion.
Medical Image Anal., 2022
CoRR, 2022
A comprehensive survey on recent deep learning-based methods applied to surgical data.
CoRR, 2022
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR, 2022
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy.
Comput. Medical Imaging Graph., 2022
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation.
Comput. Biol. Medicine, 2022
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance.
Proceedings of the Cancer Prevention Through Early Detection, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques.
Proceedings of the Advances in Computational Intelligence, 2022
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022
GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.
Medical Image Anal., 2021
Medical Image Anal., 2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.
CoRR, 2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment.
CoRR, 2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients.
CoRR, 2021
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.
IEEE Access, 2021
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network.
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning.
CoRR, 2020
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Rigid and non-rigid registration of polarized light imaging data for 3D reconstruction of the temporal lobe of the human brain at micrometer resolution.
NeuroImage, 2018
Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Registration of ultra-high resolution 3D PLI data of human brain sections to their corresponding high-resolution counterpart.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Total variational optical flow for robust and accurate bladder image mosaicing. (Calcul du flot optique dans une approache variationnelle totale pour le mosaîquage robuste et précis d'images de vessie).
PhD thesis, 2016
Anisotropic motion estimation on edge preserving Riesz wavelets for robust video mosaicing.
Pattern Recognit., 2016
Comput. Vis. Image Underst., 2016
2015
Robust bladder image registration by redefining data-term in total variational approach.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning.
Comput. Methods Programs Biomed., 2014
Robust and accurate optical flow estimation for weak texture and varying illumination conditions: Application to cystoscopy.
Proceedings of the 4th International Conference on Image Processing Theory, 2014
2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
Fast mosaicing of cystoscopic images from dense correspondence: Combined SURF and TV-L1 optical flow method.
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
Robust Road Signs Segmentation in Color Images.
Proceedings of the VISAPP 2012, 2012