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On the in vivo recognition of kidney stones using machine learning

On the in vivo recognition of kidney stones using machine learning

21 January 2022
F. Lopez-Tiro
V. Estrade
Jacques Hubert
Daniel Flores-Araiza
M. González-Mendoza
Gilberto Ochoa
C. Daul
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Papers citing "On the in vivo recognition of kidney stones using machine learning"

12 / 12 papers shown
Title
Evaluating the plausibility of synthetic images for improving automated
  endoscopic stone recognition
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
Ruben Gonzalez-Perez
Francisco Lopez-Tiro
Iván Reyes-Amezcua
Eduardo Falcon-Morales
Rosa-Maria Rodriguez-Gueant
Jacques Hubert
M. Daudon
Gilberto Ochoa-Ruiz
C. Daul
MedIm
27
0
0
20 Sep 2024
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo
  Kidney Stone Images
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images
Armando Villegas-Jimenez
Daniel Flores-Araiza
F. Lopez-Tiro
G. Ochoa-Ruiz
CML
MedIm
9
0
0
05 Sep 2023
A metric learning approach for endoscopic kidney stone identification
A metric learning approach for endoscopic kidney stone identification
Jorge Gonzalez-Zapata
F. Lopez-Tiro
Elias Villalvazo-Avila
Daniel Flores-Araiza
Jacques Hubert
Andres Mendez-Vazquez
G. Ochoa-Ruiz
C. Daul
19
4
0
13 Jul 2023
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification
  and are Competitively Robust to Photometric Perturbations
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
Daniel Flores-Araiza
F. Lopez-Tiro
Jonathan El Beze
Jacques Hubert
M. González-Mendoza
G. Ochoa-Ruiz
C. Daul
MedIm
OOD
24
6
0
08 Apr 2023
Improving automatic endoscopic stone recognition using a multi-view
  fusion approach enhanced with two-step transfer learning
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning
F. Lopez-Tiro
Elias Villalvazo-Avila
Juan Pablo Betancur-Rengifo
Jonathan El Beze
Jacques Hubert
G. Ochoa-Ruiz
C. Daul
MedIm
16
1
0
06 Apr 2023
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep
  Models for Kidney Stone Classification
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Wei-wei Zhu
Runtao Zhou
Yao Yuan
Campbell Timothy
Rajat Jain
Jiebo Luo
MedIm
22
5
0
15 Mar 2023
Improved Kidney Stone Recognition Through Attention and Multi-View
  Feature Fusion Strategies
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
Elias Villalvazo-Avila
F. Lopez-Tiro
Jonathan El Beze
Jacques Hubert
M. González-Mendoza
G. Ochoa-Ruiz
C. Daul
22
8
0
05 Nov 2022
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step
  Transfer Learning
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
F. Lopez-Tiro
Juan Pablo Betancur-Rengifo
Arturo Ruiz-Sanchez
Iván Reyes-Amezcua
Jonathan El Beze
Jacques Hubert
M. Daudon
G. Ochoa-Ruiz
C. Daul
19
10
0
24 Oct 2022
Interpretable Deep Learning Classifier by Detection of Prototypical
  Parts on Kidney Stones Images
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Daniel Flores-Araiza
F. Lopez-Tiro
Elias Villalvazo-Avila
Jonathan El Beze
Jacques Hubert
G. Ochoa-Ruiz
C. Daul
16
4
0
01 Jun 2022
Comparing feature fusion strategies for Deep Learning-based kidney stone
  identification
Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Elias Villalvazo-Avila
F. Lopez-Tiro
Daniel Flores-Araiza
G. Ochoa-Ruiz
Jonathan El Beze
Jacques Hubert
C. Daul
MedIm
22
1
0
31 May 2022
End-to-End Trainable Deep Active Contour Models for Automated Image
  Segmentation: Delineating Buildings in Aerial Imagery
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
Ali Hatamizadeh
Debleena Sengupta
Demetri Terzopoulos
25
43
0
22 Jul 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,544
0
19 Feb 2017
1