| A survey on active learning and human-in-the-loop deep learning for medical image analysis S Budd, EC Robinson, B Kainz Medical image analysis 71, 102062, 2021 | 448 | 2021 |
| Confident head circumference measurement from ultrasound with real-time feedback for sonographers S Budd, M Sinclair, B Khanal, J Matthew, D Lloyd, A Gomez, N Toussaint, ... International conference on medical image computing and computer-assisted …, 2019 | 36 | 2019 |
| Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time J Matthew, E Skelton, TG Day, VA Zimmer, A Gomez, G Wheeler, ... Prenatal diagnosis 42 (1), 49-59, 2022 | 25 | 2022 |
| Prototyping CRISP: a Causal Relation and Inference Search Platform applied to colorectal cancer data S Budd, A Blaas, A Hoarfrost, K Khezeli, K D'Silva, F Soboczenski, ... 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech …, 2021 | 13 | 2021 |
| Detecting hypo-plastic left heart syndrome in fetal ultrasound via disease-specific atlas maps S Budd, M Sinclair, T Day, A Vlontzos, J Tan, T Liu, J Matthew, E Skelton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 11 | 2021 |
| A survey on active learning and human-in-the-loop deep learning for medical image analysis. arXiv 2019 S Budd, EC Robinson, B Kainz arXiv preprint arXiv:1910.02923, 0 | 7 | |
| Can non-specialists provide high quality gold standard labels in challenging modalities? S Budd, T Day, J Simpson, K Lloyd, J Matthew, E Skelton, R Razavi, ... Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 6 | 2021 |
| Invariant risk minimisation for cross-organism inference: substituting mouse data for human data in human risk factor discovery O O'Donoghue, P Duckworth, G Ughi, L Scheibenreif, K Khezeli, ... arXiv preprint arXiv:2111.07348, 2021 | 3 | 2021 |
| 3D probabilistic segmentation and volumetry from 2D projection images A Vlontzos, S Budd, B Hou, D Rueckert, B Kainz Thoracic Image Analysis: Second International Workshop, TIA 2020, Held in …, 2020 | 2 | 2020 |
| Sonographer interaction with artificial intelligence: collaboration or conflict? TG Day, J Matthew, S Budd, JV Hajnal, JM Simpson, R Razavi, B Kainz Ultrasound in Obstetrics and Gynecology 62 (2), 167-174, 2023 | 1 | 2023 |
| Surface agnostic metrics for cortical volume segmentation and regression S Budd, P Patkee, A Baburamani, M Rutherford, EC Robinson, B Kainz Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 1 | 2020 |
| Interaction between clinicians and artificial intelligence to detect fetal atrioventricular septal defects on ultrasound: how can we optimize collaborative performance? TG Day, J Matthew, SF Budd, L Venturini, R Wright, A Farruggia, ... Ultrasound in Obstetrics & Gynecology, 2024 | | 2024 |
| Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans L Venturini, S Budd, A Farruggia, R Wright, J Matthew, TG Day, B Kainz, ... arXiv preprint arXiv:2401.01201, 2024 | | 2024 |
| Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme? TG Day, S Budd, J Tan, J Matthew, E Skelton, V Jowett, D Lloyd, A Gomez, ... Prenatal Diagnosis, 2023 | | 2023 |
| Symbiotic deep learning for medical image analysis with applications in real-time diagnosis for fetal ultrasound screening S Budd Imperial College London, 2022 | | 2022 |
| Federated causal inference for out-of-distribution generalization in predicting physiological effects of radiation exposure L Sanders, P Duckworth, O O'Donoghue, L Scheibenreif, G Ughi, ... AGU Fall Meeting Abstracts 2021, IN12A-04, 2021 | | 2021 |
| VP17. 01: Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real‐time. J Matthew, E Skelton, T Day, V Zimmer, A Gomez, G Wheeler, N Toussaint, ... Ultrasound in Obstetrics & Gynecology 58, 2021 | | 2021 |
| Exploring a new paradigm for the fetal anomaly ultrasound scan J Matthew, E Skelton, TG Day, VA Zimmer, A Gomez, G Wheeler, ... | | 2021 |
Bernhard KainzImperial College London, FAU Erlangen-NürnbergBestätigte E-Mail-Adresse bei imperial.ac.uk
