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


Nov 14, 2021
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 Sanders

* Machine Learning for Health (ML4H) - Extended Abstract 

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


Jul 30, 2021
Samuel Budd, Thomas Day, John Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz

* Accepted at the FAIR workshop in conjunction with MICCAI'21 

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


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

* MICCAI'21 Main Conference 

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Surface Agnostic Metrics for Cortical Volume Segmentation and Regression


Oct 04, 2020
Samuel Budd, Prachi Patkee, Ana Baburamani, Mary Rutherford, Emma C. Robinson, Bernhard Kainz

* Best Paper Honourable Mentions @ MLCN 2020 (MICCAI 2020) 

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3D Probabilistic Segmentation and Volumetry from 2D projection images


Jun 23, 2020
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz


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A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis


Oct 07, 2019
Samuel Budd, Emma C Robinson, Bernhard Kainz

* submitted to Medical Image Analysis 

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


Aug 07, 2019
Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz

* Accepted at MICCAI 2019; Demo video available on Twitter (@sambuddinc) 

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