Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Samuel Budd"'
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time
Autor:
Qingjie Meng, Daniel Rueckert, Robert Wright, Nicolas Toussaint, Thomas G. Day, Karen Lloyd, Jacqueline Matthew, Tianrui Liu, Reza Razavi, Matthew Sinclair, Alberto Gomez, Nooshin Ghavami, Emily Skelton, Jo Hajnal, John M. Simpson, Shujie Deng, Bernhard Kainz, Veronika A. Zimmer, Julia A. Schnabel, Samuel Budd, Gavin Wheeler
Background: Ultrasound (US) imaging is characterised by high levels of operator subjectivity and variability. Recent advances in artificial intelligence (AI) have demonstrated the potential to reduce both factors. This study pilots the end-to-end aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506c81a911005f3cacd2198e08a44a98
http://hdl.handle.net/10044/1/96818
http://hdl.handle.net/10044/1/96818
Autor:
Ben Glocker, Jacqueline Matthew, Samuel Budd, Daniel Rueckert, Emily Skelton, Thomas Day, Matthew Sinclair, Emma C. Robinson, Athanasios Vlontzos, Reza Razavi, Tianrui Liu, John M. Simpson, Bernhard Kainz, Jeremy Tan
Publikováno v:
24th International Conference on Medical Image Computing and Computer Assisted Intervention
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)
Fetal ultrasound screening during pregnancy plays a vital role in the early detection of fetal malformations which have potential long-term health impacts. The level of skill required to diagnose such malformations from live ultrasound during examina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad3c8194aad922f47ab4c223025b171
http://hdl.handle.net/10044/1/96326
http://hdl.handle.net/10044/1/96326
Fully automatic deep learning has become the state-of-the-art technique for many tasks including image acquisition, analysis and interpretation, and for the extraction of clinically useful information for computer-aided detection, diagnosis, treatmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a615583b4a0de775dbdf1d20dbbe5f0
http://hdl.handle.net/10044/1/87353
http://hdl.handle.net/10044/1/87353
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data
Autor:
Graham Mackintosh, Samuel Budd, Kia Khezeli, John Kalantari, Arno Blaas, Krittika D'Silva, Frank Soboczenski, Adrienne Hoarfrost, Nicholas Chia
Publikováno v:
LifeTech
We introduce CRISP, a Causal Research and Inference Search Platform. It is designed to assist biological and medical research by applying a variety of causal discovery methods to heterogeneous and high-dimensional observational data. CRISP aims to id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db2689b077801512365de4479cbb2ed
https://doi.org/10.1109/lifetech52111.2021.9391819
https://doi.org/10.1109/lifetech52111.2021.9391819
Autor:
Reza Razavi, Emily Skelton, John M. Simpson, Samuel Budd, Bernhard Kainz, Jacqueline Matthew, Karen Lloyd, Thomas W. Day
Publikováno v:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health ISBN: 9783030877217
DART/FAIR@MICCAI
DART/FAIR@MICCAI
Probably yes.—Supervised Deep Learning dominates performance scores for many computer vision tasks and defines the state-of-the-art. However, medical image analysis lags behind natural image applications. One of the many reasons is the lack of well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d3f8e4b71f89beb4c319d48563049d4
https://doi.org/10.1007/978-3-030-87722-4_23
https://doi.org/10.1007/978-3-030-87722-4_23
Autor:
Emma C. Robinson, Mary A. Rutherford, Ana A. Baburamani, Prachi A. Patkee, Samuel Budd, Bernhard Kainz
Publikováno v:
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology ISBN: 9783030668426
MLCN/RNO-AI@MICCAI
The 3rd Workshop on Machine Learning in Clinical Neuroimaging
MLCN/RNO-AI@MICCAI
The 3rd Workshop on Machine Learning in Clinical Neuroimaging
The cerebral cortex performs higher-order brain functions and is thus implicated in a range of cognitive disorders. Current analysis of cortical variation is typically performed by fitting surface mesh models to inner and outer cortical boundaries an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86d7d69d76cdac80faceac0ceebdb36c
https://doi.org/10.1007/978-3-030-66843-3_1
https://doi.org/10.1007/978-3-030-66843-3_1
Publikováno v:
Thoracic Image Analysis ISBN: 9783030624682
TIA@MICCAI
Thoracic Image Analysis
TIA@MICCAI
Thoracic Image Analysis
X-Ray imaging is quick, cheap and useful for front-line care assessment and intra-operative real-time imaging (e.g., C-Arm Fluoroscopy). However, it suffers from projective information loss and lacks vital volumetric information on which many essenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780e3cf9a62b8f4dcc0c804aee9d986a
Autor:
Samuel Budd, Adam Van Tuyl
Publikováno v:
Canadian Mathematical Bulletin. 62:231-241
A square-free monomial ideal $I$ of $k[x_1,\ldots,x_n]$ is said to be an $f$-ideal if the facet complex and non-face complex associated with $I$ have the same $f$-vector. We show that $I$ is an $f$-ideal if and only if its Newton complementary dual $
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5984d9f9438791c57daa2932e60bb3e9
https://doi.org/10.4153/s0008439518000024
https://doi.org/10.4153/s0008439518000024
Autor:
Reza Razavi, Emily Skelton, Gavin Wheeler, Robert Wright, Matthew Sinclair, Alberto Gomez, Shujie Deng, Jo Hajnal, Thomas G. Day, Karen Lloyd, Nicolas Toussaint, John M. Simpson, Julia A. Schnabel, Bernhard Kainz, Samuel Budd, Veronika A. Zimmer, Tianrui Liu, Daniel Rueckert, Qingjie Meng, Nooshin Ghavami, J. Matthew
Publikováno v:
Ultrasound in Obstetrics & Gynecology. 58:169-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c12aef0ef0c6dca72aec098f317573
https://doi.org/10.1002/uog.24290
https://doi.org/10.1002/uog.24290
Autor:
Samuel Budd, David F. A. Lloyd, Jacqueline Matthew, Matthew Sinclair, Emma C. Robinson, Bishesh Khanal, Bernhard Kainz, Alberto Gomez, Nicolas Toussaint
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322502
MICCAI (4)
MICCAI (4)
Manual estimation of fetal Head Circumference (HC) from Ultrasound (US) is a key biometric for monitoring the healthy development of fetuses. Unfortunately, such measurements are subject to large inter-observer variability, resulting in low early-det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6224012995bcc31d4dc35dfdf376e7bd
http://arxiv.org/abs/1908.02582
http://arxiv.org/abs/1908.02582