Thomas G. Day

According to our database, Thomas G. Day authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation.

Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz

CoRR, March, 2025

Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans.

Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal

npj Digit. Medicine, 2025

L-FUSION: Laplacian Fetal Ultrasound Segmentation and Uncertainty Estimation.

Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz

Proceedings of the Simplifying Medical Ultrasound - 6th International Workshop, 2025

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion.

Lisa K. Fischer, Johanna P. Müller, Christian Schröder, Anja Hanser, Michela Cuomo, Thomas G. Day, Cheng Ouyang, Oliver Dewald, Oliver Rompel, Sven Dittrich, Thomas Küstner, Bernhard Kainz

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

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

Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects.

Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Improving image labelling quality.

Thomas G. Day, John M. Simpson, Reza Razavi, Bernhard Kainz

Nat. Mac. Intell., April, 2023

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis.

Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas G. Day, Reza Razavi, Alberto Gómez, Paul Leeson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

Detecting Outliers with Poisson Image Interpolation.

Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.

Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?

Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020

Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome.

Elisa Chotzoglou, Thomas G. Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz

CoRR, 2020

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.

Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020