Search Results for author: Thomas Day

Found 8 papers, 3 papers with code

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

2 code implementations2 Jun 2024 Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas Day, Alberto Gomez, Paul Leeson, Bernhard Kainz

To make medical datasets accessible without sharing sensitive patient information, we introduce a novel end-to-end approach for generative de-identification of dynamic medical imaging data.

De-identification Privacy Preserving +1

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

1 code implementation22 Mar 2023 Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas Day, Reza Razavi, Alberto Gomez, Paul Leeson, Bernhard Kainz

So far, video generation has only been possible by providing input data that is as rich as the output data, e. g., image sequence plus conditioning in, video out.

Image Generation Video Generation

Can non-specialists provide high quality gold standard labels in challenging modalities?

no code implementations30 Jul 2021 Samuel Budd, Thomas Day, John Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz

We study the time and cost implications of using novice annotators, the raw performance of novice annotators compared to gold-standard expert annotators, and the downstream effects on a trained Deep Learning segmentation model's performance for detecting a specific congenital heart disease (hypoplastic left heart syndrome) in fetal ultrasound imaging.

Deep Learning Medical Image Analysis

Detecting Outliers with Poisson Image Interpolation

1 code implementation6 Jul 2021 Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, Bernhard Kainz

We propose an alternative to image reconstruction-based and image embedding-based methods and propose a new self-supervised method to tackle pathological anomaly detection.

Anomaly Detection Image Reconstruction

Recent Developments and Future Challenges in Medical Mixed Reality

no code implementations3 Aug 2017 Long Chen, Thomas Day, Wen Tang, Nigel W. John

Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice.

Classification General Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.