Zobrazeno 1 - 10
of 25
pro vyhledávání: '"José Ignacio Orlando"'
Autor:
Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Pathologic myopia (PM) is a common blinding retinal degeneration suffered by highly myopic population. Early screening of this condition can reduce the damage caused by the associated fundus lesions and therefore prevent vision loss. Automat
Externí odkaz:
https://doaj.org/article/2fc20e66a8574edcaa796767e7c808e1
Autor:
Dominik Hofer, Ursula Schmidt-Erfurth, José Ignacio Orlando, Felix Goldbach, Bianca S. Gerendas, Philipp Seeböck
Publikováno v:
Biomed Opt Express
In clinical routine, ophthalmologists frequently analyze the shape and size of the foveal avascular zone (FAZ) to detect and monitor retinal diseases. In order to extract those parameters, the contours of the FAZ need to be segmented, which is normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ca0a1a668105df7ab49a2fb3af0ce4
https://pubmed.ncbi.nlm.nih.gov/35774310
https://pubmed.ncbi.nlm.nih.gov/35774310
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 15:183-192
In this paper, we propose to apply generative adversarial neural networks trained with a cycle consistency loss, or CycleGANs, to improve realism in ultrasound (US) simulation from computed tomography (CT) scans.A ray-casting US simulation approach i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10c9ffd06ff245a8b074e023b5918f7
https://doi.org/10.1007/s11548-019-02046-5
https://doi.org/10.1007/s11548-019-02046-5
Autor:
Paulo G. P. Ziemer, Luis Alonso Mansilla Alvarez, Gonzalo D. Maso Talou, Cristiano Guedes Bezerra, Carlos A. Bulant, Hector M. Garcia-Garcia, Pedro A. Lemos, José Ignacio Orlando, Pablo J. Blanco
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Aims: Assessment of minimum lumen areas in intravascular ultrasound (IVUS) pullbacks is time-consuming and demands adequately trained personnel. In this work, we introduce a novel and fully automated pipeline to segment the lumen boundary in IVUS dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de1dd2a502dbe5010c74c79247938b1
https://academic.oup.com/ehjdh/advance-article/doi/10.1093/ehjdh/ztaa014/5998645
https://academic.oup.com/ehjdh/advance-article/doi/10.1093/ehjdh/ztaa014/5998645
Autor:
José Ignacio Orlando, Jiongcheng Li, Huazhu Fu, Jingan Liao, Xing Tao, Hrvoje Bogunovic, Jiang Liu, Yuexiang Li, Mingkui Tan, Yan Kong, Fei Li, Yongyong Ren, Xiulan Zhang, Xingxing Cao, Xiaomeng Li, Panming Li, Xu Sun, Shihao Zhang, Le Geng, Chenglang Yuan, Ruitao Xie, Huaying Hao, Yanwu Xu, Jing Wang, Cheng Bian
Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma, where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause an elevated intraocular pressure and gradually lead to glaucomatous optic neuro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c080e2723df4c52c866b176478d819be
http://arxiv.org/abs/2005.02258
http://arxiv.org/abs/2005.02258
Autor:
Ursula Schmidt-Erfurth, Hrvoje Bogunovic, Georg Langs, José Ignacio Orlando, Philipp Seeböck, Sophie Klimscha, Sebastian M Waldstein, Thomas Schlegl
Publikováno v:
IEEE transactions on medical imaging. 39(4)
The authors of “Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT” which appeared in the January 2020 issue of this journal [1] would like to provide an updated Fig. 3 because there was an error in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7589e2b47943e0297de9f1f4cf071e6
https://pubmed.ncbi.nlm.nih.gov/31170065
https://pubmed.ncbi.nlm.nih.gov/31170065
Autor:
Ursula Schmidt-Erfurth, Hrvoje Bogunovic, Anna Breger, Sebastian M. Waldstein, José Ignacio Orlando, Bianca S. Gerendas, Martin Ehler, Sophie Riedl, Christoph Grechenig
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports
Diabetic macular edema (DME) and retina vein occlusion (RVO) are macular diseases in which central photoreceptors are affected due to pathological accumulation of fluid. Optical coherence tomography allows to visually assess and evaluate photorecepto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9c9d878da3375f45f78fc6020ad840
https://doi.org/10.1038/s41598-020-62329-9
https://doi.org/10.1038/s41598-020-62329-9
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Diabetic retinopathy is one of the leading causes of preventable blindness in the world. Its earliest sign are red lesions, a general term that groups both microaneurysms and hemorrhages. In daily clinical practice, these lesions are manually detecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580bb90421a599fd5db6afc8e0c6cc97
https://doi.org/10.1016/j.cmpb.2017.10.017
https://doi.org/10.1016/j.cmpb.2017.10.017
Autor:
Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Hrvoje Bogunovic, José Ignacio Orlando, David Romo-Bucheli, Philipp Seeböck, Bianca S. Gerendas
Publikováno v:
Biomedical optics express. 11(1)
Diagnosis and treatment in ophthalmology depend on modern retinal imaging by optical coherence tomography (OCT). The recent staggering results of machine learning in medical imaging have inspired the development of automated segmentation methods to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::150405db701ad5494791b4c33f728321
https://pubmed.ncbi.nlm.nih.gov/32010521
https://pubmed.ncbi.nlm.nih.gov/32010521
Autor:
Georg Langs, José Ignacio Orlando, Sebastian M. Waldstein, Philipp Seeböck, Sophie Klimscha, Ursula Schmidt-Erfurth, Hrvoje Bogunovic, Thomas Schlegl
Diagnosis and treatment guidance are aided by detecting relevant biomarkers in medical images. Although supervised deep learning can perform accurate segmentation of pathological areas, it is limited by requiring a-priori definitions of these regions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb610204cc8a6ee8c4b3f9eef1e8d776
http://arxiv.org/abs/1905.12806
http://arxiv.org/abs/1905.12806