Pedro Sanchez

According to our database, Pedro Sanchez authored at least 30 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs.

Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, May, 2025

MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection.

Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Compositionally Equivariant Representation Learning.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, June, 2024

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

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, 2024

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

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, 2024

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

Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2024

Benchmarking Counterfactual Image Generation.

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris

CoRR, 2024

Benchmarking Counterfactual Image Generation.

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

The role of noise in denoising models for anomaly detection in medical images.

Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil

Medical Image Anal., December, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.

Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2023

A Causal Ordering Prior for Unsupervised Representation Learning.

Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris

CoRR, 2023

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

Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso

CoRR, 2023

Group Distributionally Robust Knowledge Distillation.

Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.

Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Diffusion Models for Causal Discovery via Topological Ordering.

Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning disentangled representations in the imaging domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

Medical Image Anal., 2022

Causal Machine Learning for Healthcare and Precision Medicine.

Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2022

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

Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris

CoRR, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.

Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Diffusion Causal Models for Counterfactual Estimation.

Pedro Sanchez, Sotirios A. Tsaftaris

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2021

Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on Esperanto's ET-SoC-1 Chip.

David R. Ditzel, Roger Espasa, Nivard Aymerich, Allen Baum, Tom Berg, Jim Burr, Eric Hao, Jayesh Iyer, Miquel Izquierdo, Shankar Jayaratnam, Darren Jones, Chris Klingner, Jin Kim, Stephen Lee, Marc Lupon, Grigorios Magklis, Bojan Maric, Rajib Nath, Mike Neilly, J. Duane Northcutt, Bill Orner, Jose Renau, Gerard Reves, Xavier Reves, Tom Riordan, Pedro Sanchez, Sridhar Samudrala, Guillem Sole, Raymond Tang, Tommy Thorn, Francisco Torres, Sebastia Tortella, Daniel Yau

Proceedings of the IEEE Hot Chips 33 Symposium, 2021

2017

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

César Elosúa, Francisco J. Arregui, Ignacio Del Villar, Carlos Ruiz-Zamarreño, Jesús M. Corres, Candido Bariain, Javier Goicoechea Fernández, Miguel Hernáez, Pedro J. Rivero, Abian B. Socorro, Aitor Urrutia, Pedro Sanchez, Pablo Zubiate, Diego Lopez-Torres, Nerea De Acha, Joaquin Ascorbe, Aritz Ozcariz, Ignacio R. Matías

Sensors, 2017

2016

Single strand DNA detection by means of lossy mode resonance-based optical fiber devices.

Carlos R. Zamarreño, Pablo Zubiate, Pedro Sanchez, Ignacio R. Matías, Francisco J. Arregui, Maria Antonia Ramos-Arroyo, María Moreno-Igoa, Blanca Hernández-Charro

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.

Ignacio Del Villar, Abian B. Socorro, Miguel Hernáez, Jesús M. Corres, Carlos R. Zamarreño, Pedro Sanchez, Francisco J. Arregui, Ignacio R. Matías

J. Sensors, 2015

Nanocoated optical fibre for lossy mode resonance (LMR) sensors and filters.

Ignacio Del Villar, Francisco J. Arregui, Jesús M. Corres, Candido Bariain, Javier Goicoechea Fernández, Carlos R. Zamarreño, César Elosúa, Miguel Hernáez, Pedro J. Rivero, Abian B. Socorro, Aitor Urrutia, Pedro Sanchez, Pablo Zubiate, Diego Lopez, Nerea De Acha, Joaquin Ascorbe, Ignacio R. Matías

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2003

Extraction of Three-Dimensional Motion and Geometric Invariants from Range Dependent Signals.

Mark Stuff, Pedro Sanchez, Martin Biancalana

Multidimens. Syst. Signal Process., 2003