Mark Supanich

935 total citations
25 papers, 555 citations indexed

About

Mark Supanich is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Radiation. According to data from OpenAlex, Mark Supanich has authored 25 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Radiation. Recurrent topics in Mark Supanich's work include Radiation Dose and Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Mark Supanich is often cited by papers focused on Radiation Dose and Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Mark Supanich collaborates with scholars based in United States, United Kingdom and Germany. Mark Supanich's co-authors include Jia Wang, Donovan Bakalyar, Michael F. McNitt‐Gray, Baojun Li, Maryam Bostani, Cynthia H. McCollough, John M. Boone, Samuel L. Brady, Roy Nilsen and Shuai Leng and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Mark Supanich

21 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Supanich United States 11 437 312 90 52 36 25 555
K. Klingenbeck‐Regn Germany 7 745 1.7× 508 1.6× 158 1.8× 54 1.0× 28 0.8× 12 904
D S Brettle United Kingdom 19 446 1.0× 275 0.9× 267 3.0× 106 2.0× 45 1.3× 52 857
Fatemeh Homayounieh United States 17 857 2.0× 429 1.4× 222 2.5× 20 0.4× 82 2.3× 46 1.1k
C McCollough United States 15 781 1.8× 645 2.1× 148 1.6× 48 0.9× 26 0.7× 48 970
Ramandeep Singh United States 17 844 1.9× 481 1.5× 311 3.5× 16 0.3× 57 1.6× 54 1.1k
M. Niethammer Germany 14 406 0.9× 191 0.6× 76 0.8× 31 0.6× 35 1.0× 21 526
Gorka Bastarrika Spain 9 587 1.3× 463 1.5× 102 1.1× 41 0.8× 39 1.1× 25 791
Braden Goddard United States 12 137 0.3× 47 0.2× 105 1.2× 85 1.6× 10 0.3× 63 628
Atul Padole United States 18 1.1k 2.5× 701 2.2× 324 3.6× 46 0.9× 46 1.3× 33 1.3k
Daniel W. Rickey Canada 13 470 1.1× 281 0.9× 258 2.9× 144 2.8× 13 0.4× 39 776

Countries citing papers authored by Mark Supanich

Since Specialization
Citations

This map shows the geographic impact of Mark Supanich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Supanich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Supanich more than expected).

Fields of papers citing papers by Mark Supanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Supanich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Supanich. The network helps show where Mark Supanich may publish in the future.

Co-authorship network of co-authors of Mark Supanich

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Supanich. A scholar is included among the top collaborators of Mark Supanich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Supanich. Mark Supanich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koçak, Mehmet, et al.. (2024). Fetal MRI Analysis of Corpus Callosal Abnormalities: Classification, and Associated Anomalies. Diagnostics. 14(4). 430–430.
2.
Hoffman, John M., Andrew M. Hernandez, Ali Uneri, et al.. (2024). Harmonizing quantitative imaging feature values in CT using image quality metrics as a basis. 44–44.
3.
Supanich, Mark, J. H. Siewerdsen, Rebecca Fahrig, et al.. (2023). AAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*. Medical Physics. 50(8). e904–e945. 6 indexed citations
4.
Supanich, Mark, et al.. (2023). Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging. World Journal of Clinical Cases. 11(16). 3725–3735. 10 indexed citations
5.
Supanich, Mark, et al.. (2023). Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements. Diagnostics. 13(14). 2355–2355. 7 indexed citations
6.
Zhao, S Y, et al.. (2023). Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model. American Journal of Neuroradiology. 44(10). 1191–1200. 5 indexed citations
7.
Wu, Yunan, Mark Supanich, & Jie Deng. (2021). Ensembled Deep Neural Network for Intracranial Hemorrhage Detection and Subtype Classification on Noncontrast CT Images. 2(1-2). 12–20. 9 indexed citations
8.
Liu, Junchi, Mehmet Koçak, Mark Supanich, & Jie Deng. (2020). Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB). Magnetic Resonance Imaging. 71. 69–79. 35 indexed citations
9.
Wu, Yunan, et al.. (2020). Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors. Annals of Translational Medicine. 8(11). 701–701. 43 indexed citations
10.
Arslan, Bülent, et al.. (2018). Combination Ipsilateral Lobar and Segmental Radioembolization Using Glass Yttrium-90 Microspheres for Treatment of Multifocal Hepatic Malignancies. Journal of Vascular and Interventional Radiology. 29(8). 1110–1116. 4 indexed citations
11.
Gavrielides, Marios A., Benjamin P. Berman, Mark Supanich, et al.. (2017). Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study. Quantitative Imaging in Medicine and Surgery. 7(6). 623–635. 9 indexed citations
12.
Harkness, Beth A., et al.. (2014). Detection of pulmonary embolism during pregnancy. Nuclear Medicine Communications. 35(7). 704–711. 39 indexed citations
13.
McCollough, Cynthia H., Donovan Bakalyar, Maryam Bostani, et al.. (2014). Use of Water Equivalent Diameter for Calculating Patient Size and Size-Specific Dose Estimates (SSDE) in CT: The Report of AAPM Task Group 220.. PubMed. 2014. 6–23. 230 indexed citations
14.
Olariu, Elena, Mark Supanich, & Donovan Bakalyar. (2011). WE‐C‐110‐05: The Influence of Beam Filtration and Collimation on CT Number Accuracy in the ACR CT Accreditation Process. Medical Physics. 38(6Part32). 3810–3810. 1 indexed citations
15.
Supanich, Mark & Michael Flynn. (2011). MO-A-110-02: CR/DR Image Noise - Part 2. Medical Physics. 38(6Part25). 3706–3706.
16.
Supanich, Mark, Brian Nett, Kari Pulfer, et al.. (2009). Radiation dose reduction in time-resolved CT angiography using highly constrained back projection reconstruction. Physics in Medicine and Biology. 54(14). 4575–4593. 43 indexed citations
17.
Supanich, Mark, Howard A. Rowley, Aquilla S Turk, et al.. (2008). An acquisition and image reconstruction scheme for reduced x-ray exposure dynamic 3D CTA. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6913. 691326–691326. 2 indexed citations
18.
Speidel, Michael A., Michael S. Van Lysel, Scott B. Reeder, et al.. (2007). ECG-gated HYPR reconstruction for undersampled CT myocardial perfusion imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 651014–651014. 7 indexed citations
19.
Chen, Guang‐Hong, Joseph Zambelli, Brian Nett, et al.. (2006). Design and development of C-arm based cone-beam CT for image-guided interventions: initial results. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6142. 614210–614210. 27 indexed citations
20.
Benford, Dominic J., Simon Dicker, Edward J. Wollack, et al.. (2004). A planar two-dimensional superconducting bolometer array for the Green Bank Telescope. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5498. 208–208. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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