Search Results for author: Ashay Patel

Found 3 papers, 1 papers with code

Generative AI for Medical Imaging: extending the MONAI Framework

2 code implementations • 27 Jul 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, Sebastien Ourselin, M. Jorge Cardoso

We have implemented these models in a generalisable fashion, illustrating that their results can be extended to 2D or 3D scenarios, including medical images with different modalities (like CT, MRI, and X-Ray data) and from different anatomical areas.

Anomaly Detection Denoising +2

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Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection

no code implementations • 14 Apr 2023 • Ashay Patel, Petru-Danial Tudiosu, Walter H. L. Pinaya, Gary Cook, Vicky Goh, Sebastien Ourselin, M. Jorge Cardoso

In addition, we show the efficacy of this approach on out-of-sample data showcasing the generalizability of this approach with limited training data.

Density Estimation Unsupervised Anomaly Detection

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PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction

no code implementations • 1 Nov 2022 • Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sebastien Ourselin, Anna David, Andrew Melbourne

We explore the application of model fitting techniques, linear regression machine learning models, deep learning regression, and Haralick textured features from multi-contrast MRI for multi-fetal organ analysis of FGR.

regression Texture Classification

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