Picture for Sharib Ali

Sharib Ali

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

Feb 07, 2024
Viaarxiv icon

Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy

Nov 30, 2023
Viaarxiv icon

Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task

Add code
Sep 13, 2023
Figure 1 for Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Figure 2 for Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Figure 3 for Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Figure 4 for Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Viaarxiv icon

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

Add code
Jul 30, 2023
Figure 1 for An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Figure 2 for An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Figure 3 for An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Figure 4 for An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Viaarxiv icon

A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation

Add code
Jun 14, 2023
Figure 1 for A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Figure 2 for A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Figure 3 for A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Figure 4 for A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Viaarxiv icon

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

May 31, 2023
Figure 1 for SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Figure 2 for SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Figure 3 for SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Figure 4 for SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Viaarxiv icon

Why is the winner the best?

Add code
Mar 30, 2023
Figure 1 for Why is the winner the best?
Figure 2 for Why is the winner the best?
Figure 3 for Why is the winner the best?
Figure 4 for Why is the winner the best?
Viaarxiv icon

Biomedical image analysis competitions: The state of current participation practice

Dec 16, 2022
Viaarxiv icon

SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy

Nov 12, 2022
Figure 1 for SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Figure 2 for SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Figure 3 for SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Figure 4 for SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Viaarxiv icon

A comprehensive survey on recent deep learning-based methods applied to surgical data

Sep 03, 2022
Figure 1 for A comprehensive survey on recent deep learning-based methods applied to surgical data
Figure 2 for A comprehensive survey on recent deep learning-based methods applied to surgical data
Figure 3 for A comprehensive survey on recent deep learning-based methods applied to surgical data
Figure 4 for A comprehensive survey on recent deep learning-based methods applied to surgical data
Viaarxiv icon