Samuel Budd

According to our database, Samuel Budd authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

2021

A survey on active learning and human-in-the-loop deep learning for medical image analysis.

Samuel Budd, Emma C. Robinson, Bernhard Kainz

Medical Image Anal., 2021

Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery.

Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren M. Sanders

CoRR, 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

Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data.

Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli, Krittika D'Silva, Frank Soboczenski, Graham Mackintosh, Nicholas Chia, John Kalantari

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

2020

3D Probabilistic Segmentation and Volumetry from 2D Projection Images.

Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression.

Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers.

Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019