Yannet Interian
Overview
Explore the profile of Yannet Interian including associated specialties, affiliations and a list of published articles.
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11
Citations
176
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Recent Articles
1.
Cluceru J, Lupo J, Interian Y, Bove R, Crane J
J Digit Imaging
. 2022 Aug;
36(1):289-305.
PMID: 35941406
Automated quantification of data acquired as part of an MRI exam requires identification of the specific acquisition of relevance to a particular analysis. This motivates the development of methods capable...
2.
Valdes G, Interian Y, Gennatas E, van der Laan M
IEEE Trans Pattern Anal Mach Intell
. 2021 Dec;
44(12):10236-10243.
PMID: 34851823
Using cross validation to select the best model from a library is standard practice in machine learning. Similarly, meta learning is a widely used technique where models previously developed are...
3.
Cluceru J, Interian Y, Phillips J, Molinaro A, Luks T, Alcaide-Leon P, et al.
Neuro Oncol
. 2021 Oct;
24(4):639-652.
PMID: 34653254
Background: Diagnostic classification of diffuse gliomas now requires an assessment of molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic testing requires an invasive process, an alternative noninvasive approach...
4.
Cherifa M, Interian Y, Blet A, Resche-Rigon M, Pirracchio R
Artif Intell Med
. 2021 Aug;
118:102118.
PMID: 34412841
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to predict critical conditions such as hemodynamic instability. We developed the Multi-task Learning Physiological Deep Learner (MTL-PDL), a deep...
5.
Romero M, Interian Y, Solberg T, Valdes G
Med Phys
. 2020 Oct;
47(12):6246-6256.
PMID: 33007112
Purpose: To perform an in-depth evaluation of current state of the art techniques in training neural networks to identify appropriate approaches in small datasets. Method: In total, 112,120 frontal-view X-ray...
6.
Gennatas E, Friedman J, Ungar L, Pirracchio R, Eaton E, Reichmann L, et al.
Proc Natl Acad Sci U S A
. 2020 Feb;
117(9):4571-4577.
PMID: 32071251
Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of...
7.
Morin O, Chen W, Nassiri F, Susko M, Magill S, Vasudevan H, et al.
Neurooncol Adv
. 2019 Oct;
1(1):vdz011.
PMID: 31608329
Background: We investigated prognostic models based on clinical, radiologic, and radiomic feature to preoperatively identify meningiomas at risk for poor outcomes. Methods: Retrospective review was performed for 303 patients who...
8.
Valdes G, Chang A, Cunnan A, Solberg T, Hsu I, Interian Y, et al.
Int J Radiat Oncol Biol Phys
. 2019 Apr;
102(5):1594-1596.
PMID: 31014789
No abstract available.
9.
Valdes G, Chang A, Interian Y, Owen K, Jensen S, Ungar L, et al.
Int J Radiat Oncol Biol Phys
. 2018 May;
101(3):694-703.
PMID: 29709315
Purpose: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage...
10.
Interian Y, Rideout V, Kearney V, Gennatas E, Morin O, Cheung J, et al.
Med Phys
. 2018 Apr;
45(6):2672-2680.
PMID: 29603278
Purpose: The purpose of this study was to compare the performance of Deep Neural Networks against a technique designed by domain experts in the prediction of gamma passing rates for...