Pedro Sanchez

Orcid: 0000-0003-2435-3049

According to our database1, Pedro Sanchez authored at least 27 papers between 2003 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

On csauthors.net:

Bibliography

2024
Compositionally Equivariant Representation Learning.
IEEE Trans. Medical Imaging, June, 2024

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models.
CoRR, 2024

MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection.
CoRR, 2024

Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models.
CoRR, 2024

Benchmarking Counterfactual Image Generation.
CoRR, 2024

2023
The role of noise in denoising models for anomaly detection in medical images.
Medical Image Anal., December, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

A Causal Ordering Prior for Unsupervised Representation Learning.
CoRR, 2023

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models.
CoRR, 2023

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.
CoRR, 2023

Group Distributionally Robust Knowledge Distillation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Diffusion Models for Causal Discovery via Topological Ordering.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Learning disentangled representations in the imaging domain.
Medical Image Anal., 2022

Causal Machine Learning for Healthcare and Precision Medicine.
CoRR, 2022

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification.
CoRR, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Diffusion Causal Models for Counterfactual Estimation.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
A Tutorial on Learning Disentangled Representations in the Imaging Domain.
CoRR, 2021


2017
Micro and Nanostructured Materials for the Development of Optical Fibre Sensors.
Sensors, 2017

2016
Single strand DNA detection by means of lossy mode resonance-based optical fiber devices.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

2015
Sensors Based on Thin-Film Coated Cladding Removed Multimode Optical Fiber and Single-Mode Multimode Single-Mode Fiber: A Comparative Study.
J. Sensors, 2015

Nanocoated optical fibre for lossy mode resonance (LMR) sensors and filters.
Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2003
Extraction of Three-Dimensional Motion and Geometric Invariants from Range Dependent Signals.
Multidimens. Syst. Signal Process., 2003


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