 Mark Supanich
| Title | Assistant Professor |
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| Institution | Rush University, Rush Medical College |
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| Department | Diagnostic Radiology and Nuclear Medicine |
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| Address | 1750 W. Harrison St.
Chicago IL 60612
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| Phone | 312-563-4552 |
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| Fax | 312-942-7244 |
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| vCard | Download vCard |
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 Overview Overview:
I am the head of division for Diagnostic Medical Physics in the Department of Radiology and Nuclear Medicine at Rush University Medical Center. I have extensive experience in computed tomography imaging operation, image quality and radiation dose assessment. I chair or co-chair several committees related to CT in my professional organization. I am actively involved in clinical research on a number of quantitative imaging topics, including a pilot project on lung nodule volumetry with a collaborator the University of Chicago.
My ORCID is 0000-0001-9514-9390
My Scopus ID is 24173650900
Education:
B.S. 2001 University of Wisconsin – Madison (Physics, Astrophysics)
Ph.D. 2009 University of Wisconsin – Madison (Medical Physics)
Residency 2011 Henry Ford Health System (Diagnostic Medical Physics)
Overview:
I am an Associate Professor and the head of division for Diagnostic Medical Physics in the Department of Radiology and Nuclear Medicine at Rush University Medical Center. I have extensive experience in computed tomography imaging operation, image quality and radiation dose assessment. I chair or co-chair several committees related to CT in my professional organization. I am actively involved in clinical research on a number of quantitative imaging topics, including a pilot project on lung nodule volumetry with a collaborator the University of Chicago.
My ORCID is 0000-0001-9514-9390
My Scopus ID is 24173650900
Education:
B.S. 2001 University of Wisconsin – Madison (Physics, Astrophysics)
Ph.D. 2009 University of Wisconsin – Madison (Medical Physics)
Residency 2011 Henry Ford Health System (Diagnostic Medical Physics)
Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications.
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Vahedifard F, Liu X, Adepoju JO, Zhao S, Ai HA, Marathu KK, Supanich M, Byrd SE, Deng J. Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model. AJNR Am J Neuroradiol. 2023 10; 44(10):1191-1200. PMID: 37652583.
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Vahedifard F, Ai HA, Supanich MP, Marathu KK, Liu X, Kocak M, Ansari SM, Akyuz M, Adepoju JO, Adler S, Byrd S. Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics (Basel). 2023 Jul 13; 13(14). PMID: 37510099.
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Vahedifard F, Adepoju JO, Supanich M, Ai HA, Liu X, Kocak M, Marathu KK, Byrd SE. Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging. World J Clin Cases. 2023 Jun 06; 11(16):3725-3735. PMID: 37383127.
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Supanich M, Siewerdsen J, Fahrig R, Farahani K, Gang GJ, Helm P, Jans J, Jones K, Koenig T, Kuhls-Gilcrist A, Lin M, Riddell C, Ritschl L, Schafer S, Schueler B, Silver M, Timmer J, Trousset Y, Zhang J. AAPM Task Group Report 238: 3D C-arms with volumetric imaging capability. Med Phys. 2023 Aug; 50(8):e904-e945. PMID: 36710257.
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Shah P, Supanich M. Chest CT-Derived Muscle Metrics for Sarcopenia: Choosing the Right Target. Ann Surg Oncol. 2022 Mar; 29(3):1511-1512. PMID: 34775548.
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Wu Y, White GM, Cornelius T, Gowdar I, Ansari MH, Supanich MP, Deng J. Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors. Ann Transl Med. 2020 Jun; 8(11):701. PMID: 32617321.
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Liu J, Kocak M, Supanich M, Deng J. Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB). Magn Reson Imaging. 2020 09; 71:69-79. PMID: 32428549.
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McKenney SE, Supanich MP. "Leaping" Toward the Bottom. J Am Coll Radiol. 2019 08; 16(8):1119-1120. PMID: 30975609.
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Arslan B, Padela MT, Madassery S, Masrani A, Tasse J, Supanich M, Ahmed O. Combination Ipsilateral Lobar and Segmental Radioembolization Using Glass Yttrium-90 Microspheres for Treatment of Multifocal Hepatic Malignancies. J Vasc Interv Radiol. 2018 08; 29(8):1110-1116. PMID: 30055781.
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Gavrielides MA, Berman BP, Supanich M, Schultz K, Li Q, Petrick N, Zeng R, Siegelman J. Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study. Quant Imaging Med Surg. 2017 Dec; 7(6):623-635. PMID: 29312867.
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Gress DA, Dickinson RL, Erwin WD, Jordan DW, Kobistek RJ, Stevens DM, Supanich MP, Wang J, Fairobent LA. AAPM medical physics practice guideline 6.a.: Performance characteristics of radiation dose index monitoring systems. J Appl Clin Med Phys. 2017 Jul; 18(4):12-22. PMID: 28497529.
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Siegelman JW, Supanich MP, Gavrielides MA. Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study. AJR Am J Roentgenol. 2015 Jun; 204(6):1242-7. PMID: 26001234.
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McCollough C, Bakalyar DM, Bostani M, Brady S, Boedeker K, Boone JM, Chen-Mayer HH, Christianson OI, Leng S, Li B, McNitt-Gray MF, Nilsen RA, Supanich MP, Wang J. Use of Water Equivalent Diameter for Calculating Patient Size and Size-Specific Dose Estimates (SSDE) in CT: The Report of AAPM Task Group 220. AAPM Rep. 2014 Sep; 2014:6-23. PMID: 27546949.
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Astani SA, Davis LC, Harkness BA, Supanich MP, Dalal I. Detection of pulmonary embolism during pregnancy: comparing radiation doses of CTPA and pulmonary scintigraphy. Nucl Med Commun. 2014 Jul; 35(7):704-11. PMID: 24743314.
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Supanich MP. WE-D-213AB-02: Preparing the ABR Diagnostic Exam: Part II. Med Phys. 2012 Jun; 39(6Part27):3953-3954. PMID: 28519994.
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Supanich M, Tao Y, Nett B, Pulfer K, Hsieh J, Turski P, Mistretta C, Rowley H, Chen GH. Radiation dose reduction in time-resolved CT angiography using highly constrained back projection reconstruction. Phys Med Biol. 2009 Jul 21; 54(14):4575-93. PMID: 19567941.
This graph shows the total number of publications by year, by first, middle/unknown, or last author.
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| Year | Publications |
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| 2009 | 1 | | 2012 | 1 | | 2014 | 2 | | 2015 | 1 | | 2017 | 2 | | 2018 | 1 | | 2019 | 1 | | 2020 | 2 | | 2021 | 1 | | 2023 | 4 |
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