Pedro Sanchez

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

Top Topics

Diffusion Model

Influence Maximization

Medical Image Analysis

Causal Discovery

Top Venues

Medical Image Anal.

MLMI@MICCAI (2)

Publications

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
Benchmarking Counterfactual Image Generation. CoRR (2024)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43 (6) (2024)
Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR (2024)
Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR (2024)
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI (2023)
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR (2023)
Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR (2023)
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
The role of noise in denoising models for anomaly detection in medical images. CoRR (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. CoRR (2023)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. ICLR (2023)
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR (2023)
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
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Compositionally Equivariant Representation Learning. CoRR (2023)
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
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90 (2023)
Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) (2023)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) (2022)
Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR (2022)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
Learning disentangled representations in the imaging domain. Medical Image Anal. 80 (2022)
Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
Diffusion Models for Causal Discovery via Topological Ordering. CoRR (2022)
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris
Causal Machine Learning for Healthcare and Precision Medicine. CoRR (2022)
Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR (2022)
Pedro Sanchez, Sotirios A. Tsaftaris
Diffusion Causal Models for Counterfactual Estimation. CoRR (2022)
Pedro Sanchez, Sotirios A. Tsaftaris
Diffusion Causal Models for Counterfactual Estimation. CLeaR (2022)
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR (2022)
Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR (2021)
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
Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on Esperanto's ET-SoC-1 Chip. HCS (2021)
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
Micro and Nanostructured Materials for the Development of Optical Fibre Sensors. Sensors 17 (10) (2017)
Ignacio Del Villar, Francisco J. Arregui, Jesús M. Corres, Candido Bariain, Javier Goicoechea Fernsáández, 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
Nanocoated optical fibre for lossy mode resonance (LMR) sensors and filters. ICTON (2015)
Ignacio Del Villar, Abian B. Socorro, Miguel Hernáez, Jesús M. Corres, Carlos R. Zamarreño, Pedro Sanchez, Francisco J. Arregui, Ignacio R. Matías
Sensors Based on Thin-Film Coated Cladding Removed Multimode Optical Fiber and Single-Mode Multimode Single-Mode Fiber: A Comparative Study. J. Sensors 2015 (2015)
Mark Stuff, Pedro Sanchez, Martin Biancalana
Extraction of Three-Dimensional Motion and Geometric Invariants from Range Dependent Signals. Multidimens. Syst. Signal Process. 14 (1-3) (2003)