Mark Supanich
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Explore the profile of Mark Supanich including associated specialties, affiliations and a list of published articles.
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9
Citations
48
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Recent Articles
1.
Marathu K, Vahedifard F, Kocak M, Liu X, Adepoju J, Bowker R, et al.
Diagnostics (Basel)
. 2024 Feb;
14(4).
PMID: 38396468
Background: Corpus callosal abnormalities (CCA) are midline developmental brain malformations and are usually associated with a wide spectrum of other neurological and non-neurological abnormalities. The study aims to highlight the...
2.
Vahedifard F, Liu X, Adepoju J, Zhao S, Ai H, Marathu K, et al.
AJNR Am J Neuroradiol
. 2023 Aug;
44(10):1191-1200.
PMID: 37652583
Background And Purpose: An MRI of the fetus can enhance the identification of perinatal developmental disorders, which improves the accuracy of ultrasound. Manual MRI measurements require training, time, and intra-variability...
3.
Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging
Vahedifard F, Adepoju J, Supanich M, Ai H, Liu X, Kocak M, et al.
World J Clin Cases
. 2023 Jun;
11(16):3725-3735.
PMID: 37383127
Central nervous system abnormalities in fetuses are fairly common, happening in 0.1% to 0.2% of live births and in 3% to 6% of stillbirths. So initial detection and categorization of...
4.
Supanich M, Siewerdsen J, Fahrig R, Farahani K, Gang G, Helm P, et al.
Med Phys
. 2023 Jan;
50(8):e904-e945.
PMID: 36710257
This report reviews the image acquisition and reconstruction characteristics of C-arm Cone Beam Computed Tomography (C-arm CBCT) systems and provides guidance on quality control of C-arm systems with this volumetric...
5.
Shah P, Supanich M
Ann Surg Oncol
. 2021 Nov;
29(3):1511-1512.
PMID: 34775548
No abstract available.
6.
Liu J, Kocak M, Supanich M, Deng J
Magn Reson Imaging
. 2020 May;
71:69-79.
PMID: 32428549
Objective: Magnetic resonance imaging (MRI) acquisition is inherently sensitive to motion, and motion artifact reduction is essential for improving image quality in MRI. Methods: We developed a deep residual network...
7.
Arslan B, Talha Padela M, Madassery S, Masrani A, Tasse J, Supanich M, et al.
J Vasc Interv Radiol
. 2018 Jul;
29(8):1110-1116.
PMID: 30055781
Eight patients with primary (n = 6) and metastatic (n = 2) disease of the liver underwent yttrium-90 radioembolization with glass microspheres using a combination of segmental and ipsilateral lobar...
8.
Gavrielides M, Berman B, Supanich M, Schultz K, Li Q, Petrick N, et al.
Quant Imaging Med Surg
. 2018 Jan;
7(6):623-635.
PMID: 29312867
Background: To assess the volumetric measurement of small (≤1 cm) nonsolid nodules with computed tomography (CT), focusing on the interaction of state of the art iterative reconstruction (IR) methods and...
9.
Supanich M, Tao Y, Nett B, Pulfer K, Hsieh J, Turski P, et al.
Phys Med Biol
. 2009 Jul;
54(14):4575-93.
PMID: 19567941
Recently dynamic, time-resolved three-dimensional computed tomography angiography (CTA) has been introduced to the neurological imaging community. However, the radiation dose delivered to patients in time-resolved CTA protocol is a high...