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Pedro Sanchez
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2020 – today
- 2024
- [j6]Xiao Liu
, Pedro Sanchez
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43(6): 2169-2179 (2024) - [i19]Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris:
Benchmarking Counterfactual Image Generation. CoRR abs/2403.20287 (2024) - [i18]Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR abs/2404.12920 (2024) - [i17]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR abs/2405.19458 (2024) - [i16]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. CoRR abs/2410.22149 (2024) - 2023
- [j5]Antanas Kascenas, Pedro Sanchez
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [c10]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. ICLR 2023 - [c9]Virginia Fernandez
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI 2023: 3-13 - [c8]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) 2023: 234-242 - [i15]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - [i14]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR abs/2305.08252 (2023) - [i13]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 abs/2306.01322 (2023) - [i12]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. CoRR abs/2306.07783 (2023) - [i11]Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris:
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR abs/2307.05704 (2023) - [i10]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 abs/2307.15208 (2023) - [i9]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. CoRR abs/2311.00476 (2023) - 2022
- [j4]Xiao Liu
Learning disentangled representations in the imaging domain. Medical Image Anal. 80: 102516 (2022) - [c7]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CLeaR 2022: 647-668 - [c6]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: 15-21 - [c5]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: 34-44 - [c4]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) 2022: 704-714 - [i8]Pedro Sanchez, Sotirios A. Tsaftaris:
Diffusion Causal Models for Counterfactual Estimation. CoRR abs/2202.10166 (2022) - [i7]Tian Xia, Pedro Sanchez, Chen Qin
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR abs/2203.07815 (2022) - [i6]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 abs/2205.11402 (2022) - [i5]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR abs/2206.14538 (2022) - [i4]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR abs/2207.12268 (2022) - [i3]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 abs/2208.03563 (2022) - [i2]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. CoRR abs/2210.06201 (2022) - 2021
- [c3]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: 1-23 - [i1]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR abs/2108.12043 (2021)
2010 – 2019
- 2017
- [j3]César Elosúa, Francisco J. Arregui
Micro and Nanostructured Materials for the Development of Optical Fibre Sensors. Sensors 17(10): 2312 (2017) - 2016
- [c2]Carlos R. Zamarreño
Single strand DNA detection by means of lossy mode resonance-based optical fiber devices. IEEE SENSORS 2016: 1-3 - 2015
- [j2]Ignacio Del Villar
Sensors Based on Thin-Film Coated Cladding Removed Multimode Optical Fiber and Single-Mode Multimode Single-Mode Fiber: A Comparative Study. J. Sensors 2015: 763762:1-763762:7 (2015) - [c1]Ignacio Del Villar
Nanocoated optical fibre for lossy mode resonance (LMR) sensors and filters. ICTON 2015: 1-4
2000 – 2009
- 2003
- [j1]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): 161-181 (2003)
Coauthor Index
aka: Alison Q. O'Neil
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