Picture for Jacques Hubert

Jacques Hubert

A metric learning approach for endoscopic kidney stone identification

Add code
Jul 13, 2023
Viaarxiv icon

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations

Add code
Apr 08, 2023
Viaarxiv icon

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning

Add code
Apr 06, 2023
Viaarxiv icon

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies

Add code
Nov 05, 2022
Viaarxiv icon

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning

Add code
Oct 24, 2022
Viaarxiv icon

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images

Add code
Jun 02, 2022
Figure 1 for Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Figure 2 for Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Figure 3 for Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Figure 4 for Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Viaarxiv icon

Comparing feature fusion strategies for Deep Learning-based kidney stone identification

Add code
May 31, 2022
Figure 1 for Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Figure 2 for Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Figure 3 for Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Figure 4 for Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Viaarxiv icon

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification

Add code
May 02, 2022
Figure 1 for On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Figure 2 for On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Figure 3 for On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Figure 4 for On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Viaarxiv icon

On the in vivo recognition of kidney stones using machine learning

Add code
Jan 21, 2022
Figure 1 for On the in vivo recognition of kidney stones using machine learning
Figure 2 for On the in vivo recognition of kidney stones using machine learning
Figure 3 for On the in vivo recognition of kidney stones using machine learning
Figure 4 for On the in vivo recognition of kidney stones using machine learning
Viaarxiv icon

Assessing deep learning methods for the identification of kidney stones in endoscopic images

Add code
Mar 01, 2021
Figure 1 for Assessing deep learning methods for the identification of kidney stones in endoscopic images
Figure 2 for Assessing deep learning methods for the identification of kidney stones in endoscopic images
Figure 3 for Assessing deep learning methods for the identification of kidney stones in endoscopic images
Figure 4 for Assessing deep learning methods for the identification of kidney stones in endoscopic images
Viaarxiv icon