Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Reyes-Amezcua, Ivan, Rojas-Ruiz, Michael, Ochoa-Ruiz, Gilberto, Mendez-Vazquez, Andres, Daul, Christian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
by: Reyes-Amezcua, Ivan, et al.
Published: (2026)
by: Reyes-Amezcua, Ivan, et al.
Published: (2026)
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
by: Salazar-Ruiz, Carlos, et al.
Published: (2025)
by: Salazar-Ruiz, Carlos, et al.
Published: (2025)
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs
by: Reyes-Amezcua, Ivan, et al.
Published: (2025)
by: Reyes-Amezcua, Ivan, et al.
Published: (2025)
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction
by: Reyes-Amezcua, Ivan, et al.
Published: (2024)
by: Reyes-Amezcua, Ivan, et al.
Published: (2024)
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition
by: Flores-Araiza, Daniel, et al.
Published: (2024)
by: Flores-Araiza, Daniel, et al.
Published: (2024)
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy
by: Reyes-Amezcua, Ivan, et al.
Published: (2025)
by: Reyes-Amezcua, Ivan, et al.
Published: (2025)
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
by: Lopez-Tiro, Francisco, et al.
Published: (2022)
by: Lopez-Tiro, Francisco, et al.
Published: (2022)
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
by: Villalvazo-Avila, Elias, et al.
Published: (2022)
by: Villalvazo-Avila, Elias, et al.
Published: (2022)
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
by: Gonzalez-Perez, Ruben, et al.
Published: (2024)
by: Gonzalez-Perez, Ruben, et al.
Published: (2024)
Assessing the generalization performance of SAM for ureteroscopy scene understanding
by: Villagrana, Martin, et al.
Published: (2025)
by: Villagrana, Martin, et al.
Published: (2025)
RobustSurg: Tackling domain generalisation for out-of-distribution surgical scene segmentation
by: Ali, Mansoor, et al.
Published: (2025)
by: Ali, Mansoor, et al.
Published: (2025)
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging
by: Garcia-Vega, Axel, et al.
Published: (2022)
by: Garcia-Vega, Axel, et al.
Published: (2022)
Leveraging Vision-Language Pre-training for Human Activity Recognition in Still Images
by: Mahanta, Cristina, et al.
Published: (2025)
by: Mahanta, Cristina, et al.
Published: (2025)
Tackling domain generalization for out-of-distribution endoscopic imaging
by: Teevno, Mansoor Ali, et al.
Published: (2024)
by: Teevno, Mansoor Ali, et al.
Published: (2024)
RobustFormer: Noise-Robust Pre-training for images and videos
by: Bastola, Ashish, et al.
Published: (2024)
by: Bastola, Ashish, et al.
Published: (2024)
NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models
by: Albaba, Mert, et al.
Published: (2025)
by: Albaba, Mert, et al.
Published: (2025)
Pre-training for Action Recognition with Automatically Generated Fractal Datasets
by: Svyezhentsev, Davyd, et al.
Published: (2024)
by: Svyezhentsev, Davyd, et al.
Published: (2024)
Graph-Based Deep Learning for Component Segmentation of Maize Plants
by: Ruiz-Martinez, J. I., et al.
Published: (2025)
by: Ruiz-Martinez, J. I., et al.
Published: (2025)
Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training
by: Samel, Karan, et al.
Published: (2025)
by: Samel, Karan, et al.
Published: (2025)
Logos as a Well-Tempered Pre-train for Sign Language Recognition
by: Ovodov, Ilya, et al.
Published: (2025)
by: Ovodov, Ilya, et al.
Published: (2025)
Micro-Expression Recognition by Motion Feature Extraction based on Pre-training
by: Li, Ruolin, et al.
Published: (2024)
by: Li, Ruolin, et al.
Published: (2024)
FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning
by: Zhu, Meilu, et al.
Published: (2025)
by: Zhu, Meilu, et al.
Published: (2025)
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
by: Yang, Mingzhao, et al.
Published: (2023)
by: Yang, Mingzhao, et al.
Published: (2023)
Mapping Hidden Heritage: Self-supervised Pre-training on High-Resolution LiDAR DEM Derivatives for Archaeological Stone Wall Detection
by: Huang, Zexian, et al.
Published: (2025)
by: Huang, Zexian, et al.
Published: (2025)
Swap Path Network for Robust Person Search Pre-training
by: Jaffe, Lucas, et al.
Published: (2024)
by: Jaffe, Lucas, et al.
Published: (2024)
LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training
by: Long, Rujiao, et al.
Published: (2024)
by: Long, Rujiao, et al.
Published: (2024)
Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
by: Gao, Zuan, et al.
Published: (2024)
by: Gao, Zuan, et al.
Published: (2024)
BRAVEn: Improving Self-Supervised Pre-training for Visual and Auditory Speech Recognition
by: Haliassos, Alexandros, et al.
Published: (2024)
by: Haliassos, Alexandros, et al.
Published: (2024)
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning
by: Tan, Jieyi, et al.
Published: (2025)
by: Tan, Jieyi, et al.
Published: (2025)
SUGAR: Pre-training 3D Visual Representations for Robotics
by: Chen, Shizhe, et al.
Published: (2024)
by: Chen, Shizhe, et al.
Published: (2024)
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity
by: Shuai, Zitao, et al.
Published: (2024)
by: Shuai, Zitao, et al.
Published: (2024)
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
by: Kosugi, Satoshi
Published: (2025)
by: Kosugi, Satoshi
Published: (2025)
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
by: Mallick, Rupayan, et al.
Published: (2025)
by: Mallick, Rupayan, et al.
Published: (2025)
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training
by: Tao, Yiyi, et al.
Published: (2024)
by: Tao, Yiyi, et al.
Published: (2024)
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024)
by: Zhang, Qilai, et al.
Published: (2024)
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
by: Lu, Feng, et al.
Published: (2024)
by: Lu, Feng, et al.
Published: (2024)
Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation
by: Oh, Hanbit, et al.
Published: (2025)
by: Oh, Hanbit, et al.
Published: (2025)
Net2Net: When Un-trained Meets Pre-trained Networks for Robust Real-World Denoising
by: Yuan, Weimin, et al.
Published: (2025)
by: Yuan, Weimin, et al.
Published: (2025)
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
by: Tang, Canhui, et al.
Published: (2024)
by: Tang, Canhui, et al.
Published: (2024)
Robust Fine-tuning for Pre-trained 3D Point Cloud Models
by: Zhang, Zhibo, et al.
Published: (2024)
by: Zhang, Zhibo, et al.
Published: (2024)
Similar Items
-
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
by: Reyes-Amezcua, Ivan, et al.
Published: (2026) -
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
by: Salazar-Ruiz, Carlos, et al.
Published: (2025) -
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs
by: Reyes-Amezcua, Ivan, et al.
Published: (2025) -
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction
by: Reyes-Amezcua, Ivan, et al.
Published: (2024) -
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition
by: Flores-Araiza, Daniel, et al.
Published: (2024)