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ORCIDSamuel Budd
2020 – today
- 2025
[j2]Lorenzo Venturini
, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. npj Digit. Medicine 8(1) (2025)- 2024
- [i8]Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans. CoRR abs/2401.01201 (2024) - 2021
- [j1]Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Anal. 71: 102062 (2021) - [c6]Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli, Krittika D'Silva, Frank Soboczenski, Graham Mackintosh, Nicholas Chia, John Kalantari:
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. LifeTech 2021: 517-521 - [c5]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:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) 2021: 207-217 - [c4]Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz:
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? DART/FAIR@MICCAI 2021: 251-262 - [i7]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:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR abs/2107.02643 (2021) - [i6]Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz:
Can non-specialists provide high quality gold standard labels in challenging modalities? CoRR abs/2107.14682 (2021) - [i5]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:
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. CoRR abs/2111.07348 (2021) - 2020
- [c3]Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz:
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. MLCN/RNO-AI@MICCAI 2020: 3-12 - [c2]Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz:
3D Probabilistic Segmentation and Volumetry from 2D Projection Images. TIA@MICCAI 2020: 48-57 - [i4]Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz:
3D Probabilistic Segmentation and Volumetry from 2D projection images. CoRR abs/2006.12809 (2020) - [i3]Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz:
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. CoRR abs/2010.01669 (2020)
2010 – 2019
- 2019
- [c1]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. MICCAI (4) 2019: 683-691 - [i2]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. CoRR abs/1908.02582 (2019) - [i1]Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis. CoRR abs/1910.02923 (2019)
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