Sharib Ali

Orcid: 0000-0003-1313-3542

Affiliations:
  • 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 80 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion.
CoRR, 2024

2023
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.
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

Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Image Captioning for Automated Grading and Understanding of Ulcerative Colitis.
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

SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Why is the Winner the Best?
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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
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation.
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

Biomedical image analysis competitions: The state of current participation practice.
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

TGANet: Text-Guided Attention for Improved Polyp Segmentation.
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

Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection.
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

Endoscopic computer vision challenges 2.0.
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

A deep learning framework for quality assessment and restoration in video endoscopy.
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

Improved Artifact Detection in Endoscopy Imaging Through Profile Pruning.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

EndoUDA: A Modality Independent Segmentation Approach for Endoscopy Imaging.
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

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy.
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
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation.
CoRR, 2020

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning.
CoRR, 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Endoscopy disease detection challenge 2020.
CoRR, 2020

Motion induced segmentation of stone fragments in ureteroscopy video.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Ensemble U-Net Model for Efficient Polyp Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Real-Time Polyp Segmentation Using U-Net with IoU Loss.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

MI-UNet: Improved Segmentation in Ureteroscopy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Endoscopy artifact detection (EAD 2019) challenge dataset.
CoRR, 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

Scale-bundle spline-based non-rigid registration for handling fissures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Evaluating local features in high-resolution 3D-PLI data.
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
Elastic registration of high-resolution 3D PLI data of the human brain.
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

Spline-Based Multimodal Image Registration of 3D PLI Data of the Human Brain.
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

Illumination invariant optical flow using neighborhood descriptors.
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

Optical flow with structure information for epithelial image mosaicing.
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
Statistical atlas based exudate segmentation.
Comput. Medical Imaging Graph., 2013

Steerable wavelet transform for atlas based retinal lesion segmentation.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Automated detection of microaneurysms using robust blob descriptors.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Exudate segmentation on retinal atlas space.
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


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