Farzad Khalvati
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Explore the profile of Farzad Khalvati including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
Chen C, Namdar K, Wagner M, Ertl-Wagner B, Khalvati F
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-6.
PMID: 40039735
Magnetic Resonance Imaging (MRI) serves as a valuable tool for detecting abnormalities in brain structures. However, a notable 5-10% of pathologies remain unnoticed in MRI scans. To address this challenge...
2.
Chen C, Namdar K, Wu Y, Hosseinpour S, Shroff M, Doria A, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-5.
PMID: 40039693
Scoliosis is a three-dimensional deformity of the spine, often diagnosed in childhood. It affects 2-3% of the population, representing seven million people in North America. Currently, the gold standard for...
3.
Zhou M, Wagner M, Tabori U, Hawkins C, Ertl-Wagner B, Khalvati F
Comput Biol Med
. 2024 Dec;
185():109502.
PMID: 39700855
Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training...
4.
Yoo J, Namdar K, Khalvati F
BMC Med Imaging
. 2024 Dec;
24(1):335.
PMID: 39695438
Purpose: Training machine learning models to segment tumors and other anomalies in medical images is an important step for developing diagnostic tools but generally requires manually annotated ground truth segmentations,...
5.
Gong B, Khalvati F, Ertl-Wagner B, Patlas M
Diagn Interv Imaging
. 2024 Dec;
PMID: 39672753
Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a wide range of acute conditions involving the brain, head and neck, and spine. This narrative review aims at...
6.
Namdar K, Wagner M, Kudus K, Hawkins C, Tabori U, Ertl-Wagner B, et al.
Can Assoc Radiol J
. 2024 Nov;
76(2):313-323.
PMID: 39544176
Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular diagnosis of pLGG enables targeted treatment. We use MRI-based Convolutional Neural Networks (CNNs) for molecular...
7.
Rogalla P, Fratesi J, Kandel S, Patsios D, Khalvati F, Carey S
Can Assoc Radiol J
. 2024 Sep;
76(2):257-264.
PMID: 39315514
To evaluate the clinical performance of a Protocol Recommendation System (PRS) automatic protocolling of chest CT imaging requests. 322 387 consecutive historical imaging requests for chest CT between 2017 and...
8.
Kudus K, Wagner M, Namdar K, Bennett J, Nobre L, Tabori U, et al.
Sci Rep
. 2024 Aug;
14(1):19102.
PMID: 39154039
The use of targeted agents in the treatment of pediatric low-grade gliomas (pLGGs) relies on the determination of molecular status. It has been shown that genetic alterations in pLGG can...
9.
Kudus K, Wagner M, Ertl-Wagner B, Khalvati F
Childs Nerv Syst
. 2024 Jul;
40(10):3027-3035.
PMID: 38972953
Introduction: Machine learning (ML) shows promise for the automation of routine tasks related to the treatment of pediatric low-grade gliomas (pLGG) such as tumor grading, typing, and segmentation. Moreover, it...
10.
Soldatelli M, Namdar K, Tabori U, Hawkins C, Yeom K, Khalvati F, et al.
AJNR Am J Neuroradiol
. 2024 Apr;
45(6):753-760.
PMID: 38604736
Background And Purpose: Molecular biomarker identification increasingly influences the treatment planning of pediatric low-grade neuroepithelial tumors (PLGNTs). We aimed to develop and validate a radiomics-based ADC signature predictive of the...