Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Richard Droste"'
Autor:
Lior Drukker, Harshita Sharma, Richard Droste, Mohammad Alsharid, Pierre Chatelain, J. Alison Noble, Aris T. Papageorghiou
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Ultrasound is the primary modality for obstetric imaging and is highly sonographer dependent. Long training period, insufficient recruitment and poor retention of sonographers are among the global challenges in the expansion of ultrasound us
Externí odkaz:
https://doaj.org/article/1d93af074cd94bdbaddb39cec3fed5fe
Autor:
Lior Drukker, Richard Droste, Christos Ioannou, Lawrence Impey, J. Alison Noble, Aris T. Papageorghiou
SlowflowHD is a new ultrasound Doppler imaging technology that allows visualization of flow within small blood vessels. In this mode, a proprietary algorithm differentiates between low-speed flow and signals attributed to tissue motion so that microv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3af292f63b18c922c7bbc9004dca55e
https://ora.ox.ac.uk/objects/uuid:73517b9a-2b63-43a8-a0af-207f5d7453e8
https://ora.ox.ac.uk/objects/uuid:73517b9a-2b63-43a8-a0af-207f5d7453e8
Publikováno v:
Med Image Comput Comput Assist Interv
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872366
MICCAI (8)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872366
MICCAI (8)
Automated ultrasound (US)-probe movement guidance is desirable to assist inexperienced human operators during obstetric US scanning. In this paper, we present a new visual-assisted probe movement technique using automated landmark retrieval for assis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62058e4f72bd53a4ad3f01ccb931c47d
https://pubmed.ncbi.nlm.nih.gov/35373220
https://pubmed.ncbi.nlm.nih.gov/35373220
Publikováno v:
Ultraschall in der Medizin - European Journal of Ultrasound. 41:138-145
Purpose: To analyze bioeffect safety indices and assess how often operators look at these indices during routine obstetric ultrasound. Materials and Methods: Automated analysis of prospectively collected data including video recordings of full-length
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66508856c6fd82e1d908ac7ba1d6320e
https://doi.org/10.1055/a-1074-0722
https://doi.org/10.1055/a-1074-0722
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::988db396f6c5537ec816533eaf4ec9a6
https://doi.org/10.1007/978-3-031-16449-1_11
https://doi.org/10.1007/978-3-031-16449-1_11
Autor:
Yuan Gao, Lokhin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris Papageorghiou, Alison Noble
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
This paper presents a novel approach to automatic fetal brain biometry motivated by needs in low- and medium- income countries. Specifically, we leverage high-end (HE) ultrasound images to build a biometry solution for low-cost (LC) point-of-care ult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac3595203180e62501ae0f87aa4b623
http://arxiv.org/abs/2108.12719
http://arxiv.org/abs/2108.12719
Autor:
Aris T. Papageorghiou, Harshita Sharma, Pierre Chatelain, Richard Droste, J. Alison Noble, Lior Drukker
Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be highly operator-dependent and difficult to perform, which limits its wider use in clinical practice. The literature on understanding what makes clinical sonograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a30e94b12303af4c2ab16d2618c74d
https://ora.ox.ac.uk/objects/uuid:78c2dd05-edad-4821-916a-b3035ac093c4
https://ora.ox.ac.uk/objects/uuid:78c2dd05-edad-4821-916a-b3035ac093c4
Autor:
Lior Drukker, Richard Droste, Yipei Wang, J. Alison Noble, Jianbo Jiao, Aris T. Papageorghiou, Harshita Sharma
Publikováno v:
Med Ultrasound Preterm Perinat Paediatr Image Anal (2020)
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis ISBN: 9783030603335
ASMUS/PIPPI@MICCAI
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis ISBN: 9783030603335
ASMUS/PIPPI@MICCAI
In this paper, we consider differentiating operator skill during fetal ultrasound scanning using probe motion tracking. We present a novel convolutional neural network-based deep learning framework to model ultrasound probe motion in order to classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672f16dbcb0c87f56e78d58c900e89c5
https://pubmed.ncbi.nlm.nih.gov/33103166
https://pubmed.ncbi.nlm.nih.gov/33103166
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
ECCV (5)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
Visual saliency modeling for images and videos is treated as two independent tasks in recent computer vision literature. While image saliency modeling is a well-studied problem and progress on benchmarks like SALICON and MIT300 is slowing, video sali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53e78feac1babd1d9de6dbc192440227
Publikováno v:
ISBI
Proc IEEE Int Symp Biomed Imaging
Proc IEEE Int Symp Biomed Imaging
Recent advances in deep learning have achieved promising performance for medical image analysis, while in most cases ground-truth annotations from human experts are necessary to train the deep model. In practice, such annotations are expensive to col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::097ff68dc3349b85f4245bf8093d6bb4