Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Cerrolaza, Juan"'
Autor:
Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, Bai, Wenjia, de Marvao, Antonio, Oktay, Ozan, Ledig, Christian, Folgoc, Loic Le, Kamnitsas, Konstantinos, Doumou, Georgia, Duan, Jinming, Prasad, Sanjay K., Cook, Stuart A., O'Regan, Declan P., Rueckert, Daniel
Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagno
Externí odkaz:
http://arxiv.org/abs/1907.00058
Autor:
Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, de Marvao, Antonio, Cook, Stuart A., O'Regan, Declan P., Rueckert, Daniel
Accurate segmentation of heart structures imaged by cardiac MR is key for the quantitative analysis of pathology. High-resolution 3D MR sequences enable whole-heart structural imaging but are time-consuming, expensive to acquire and they often requir
Externí odkaz:
http://arxiv.org/abs/1902.11000
Autor:
Cerrolaza, Juan J., Lopez-Picazo, Mirella, Humbert, Ludovic, Sato, Yoshinobu, Rueckert, Daniel, Ballester, Miguel Angel Gonzalez, Linguraru, Marius George
The medical image analysis field has traditionally been focused on the development of organ-, and disease-specific methods. Recently, the interest in the development of more 20 comprehensive computational anatomical models has grown, leading to the c
Externí odkaz:
http://arxiv.org/abs/1812.08577
Autor:
Valindria, Vanya V., Lavdas, Ioannis, Cerrolaza, Juan, Aboagye, Eric O., Rockall, Andrea G., Rueckert, Daniel, Glocker, Ben
Accurate and robust segmentation of small organs in whole-body MRI is difficult due to anatomical variation and class imbalance. Recent deep network based approaches have demonstrated promising performance on abdominal multi-organ segmentations. Howe
Externí odkaz:
http://arxiv.org/abs/1807.11368
Autor:
Mansoor, Awais, Cerrolaza, Juan J., Perez, Geovanny, Biggs, Elijah, Okada, Kazunori, Nino, Gustavo, Linguraru, Marius George
Computer-aided diagnosis (CAD) techniques for lung field segmentation from chest radiographs (CXR) have been proposed for adult cohorts, but rarely for pediatric subjects. Statistical shape models (SSMs), the workhorse of most state-of-the-art CXR-ba
Externí odkaz:
http://arxiv.org/abs/1807.04339
Autor:
Li, Yuanwei, Khanal, Bishesh, Hou, Benjamin, Alansary, Amir, Cerrolaza, Juan J., Sinclair, Matthew, Matthew, Jacqueline, Gupta, Chandni, Knight, Caroline, Kainz, Bernhard, Rueckert, Daniel
Publikováno v:
LNCS 11070 (2018) 392-400
Standard scan plane detection in fetal brain ultrasound (US) forms a crucial step in the assessment of fetal development. In clinical settings, this is done by manually manoeuvring a 2D probe to the desired scan plane. With the advent of 3D US, the e
Externí odkaz:
http://arxiv.org/abs/1806.07486
Autor:
Li, Yuanwei, Alansary, Amir, Cerrolaza, Juan J., Khanal, Bishesh, Sinclair, Matthew, Matthew, Jacqueline, Gupta, Chandni, Knight, Caroline, Kainz, Bernhard, Rueckert, Daniel
Publikováno v:
LNCS 11070 (2018) 563-571
We propose a new Patch-based Iterative Network (PIN) for fast and accurate landmark localisation in 3D medical volumes. PIN utilises a Convolutional Neural Network (CNN) to learn the spatial relationship between an image patch and anatomical landmark
Externí odkaz:
http://arxiv.org/abs/1806.06987
MRI quantification of cranial nerves such as anterior visual pathway (AVP) in MRI is challenging due to their thin small size, structural variation along its path, and adjacent anatomic structures. Segmentation of pathologically abnormal optic nerve
Externí odkaz:
http://arxiv.org/abs/1508.01128
Autor:
Cerrolaza, Juan J., Picazo, Mirella López, Humbert, Ludovic, Sato, Yoshinobu, Rueckert, Daniel, Ballester, Miguel Ángel González, Linguraru, Marius George
Publikováno v:
In Medical Image Analysis August 2019 56:44-67
Akademický článek
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