Meredith Sadinski

419 total citations
15 papers, 306 citations indexed

About

Meredith Sadinski is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Meredith Sadinski has authored 15 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Meredith Sadinski's work include Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (4 papers). Meredith Sadinski is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (4 papers). Meredith Sadinski collaborates with scholars based in United States, India and Canada. Meredith Sadinski's co-authors include Elizabeth J. Sutton, Elizabeth A. Morris, Natsuko Onishi, Danny F. Martinez, Peter Gibbs, Mary Hughes, Brittany Z. Dashevsky, Katherine Gallagher, Harini Veeraraghavan and Joseph O. Deasy and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Meredith Sadinski

14 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meredith Sadinski United States 9 270 78 68 33 25 15 306
Shonket Ray United States 7 278 1.0× 138 1.8× 201 3.0× 25 0.8× 24 1.0× 14 373
Kui‐Yuan Liu China 9 177 0.7× 69 0.9× 43 0.6× 27 0.8× 14 0.6× 12 299
Luca Basso Italy 11 181 0.7× 33 0.4× 80 1.2× 36 1.1× 4 0.2× 25 282
E. Pages France 9 141 0.5× 43 0.6× 60 0.9× 44 1.3× 4 0.2× 14 268
Robert Lucht Germany 9 427 1.6× 78 1.0× 27 0.4× 13 0.4× 9 0.4× 18 484
Naum Papanicolau Canada 7 262 1.0× 56 0.7× 25 0.4× 28 0.8× 12 0.5× 11 344
Aditi Iyer United States 9 236 0.9× 49 0.6× 83 1.2× 16 0.5× 71 2.8× 16 291
Afsaneh Alikhassi Iran 8 182 0.7× 82 1.1× 41 0.6× 21 0.6× 4 0.2× 33 288

Countries citing papers authored by Meredith Sadinski

Since Specialization
Citations

This map shows the geographic impact of Meredith Sadinski'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 Meredith Sadinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meredith Sadinski more than expected).

Fields of papers citing papers by Meredith Sadinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meredith Sadinski. 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 Meredith Sadinski. The network helps show where Meredith Sadinski may publish in the future.

Co-authorship network of co-authors of Meredith Sadinski

This figure shows the co-authorship network connecting the top 25 collaborators of Meredith Sadinski. A scholar is included among the top collaborators of Meredith Sadinski 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 Meredith Sadinski. Meredith Sadinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Narayanan, Ram M., et al.. (2023). Application of Haralick Texture Analysis to Differentiate Suspicious Prostate Lesions from Normative Tissue on Low-field MRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
3.
Zhang, Michelle, Meredith Sadinski, Dana Haddad, et al.. (2021). Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score. Frontiers in Oncology. 10. 595820–595820. 12 indexed citations
4.
Sadinski, Meredith, et al.. (2021). Deep Learning–based Method for Denoising and Image Enhancement in Low-Field MRI. 1–6. 6 indexed citations
5.
Onishi, Natsuko, Meredith Sadinski, Mary Hughes, et al.. (2020). Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer. Breast Cancer Research. 22(1). 58–58. 52 indexed citations
6.
Sutton, Elizabeth J., Natsuko Onishi, Duc Fehr, et al.. (2020). A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy. Breast Cancer Research. 22(1). 57–57. 72 indexed citations
7.
Onishi, Natsuko, Meredith Sadinski, Peter Gibbs, et al.. (2019). Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI. European Radiology. 30(2). 756–766. 30 indexed citations
8.
Gibbs, Peter, Natsuko Onishi, Meredith Sadinski, et al.. (2019). Characterization of Sub‐1 cm Breast Lesions Using Radiomics Analysis. Journal of Magnetic Resonance Imaging. 50(5). 1468–1477. 31 indexed citations
9.
Veeraraghavan, Harini, Brittany Z. Dashevsky, Natsuko Onishi, et al.. (2018). Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study. Scientific Reports. 8(1). 4838–4838. 23 indexed citations
10.
Sadinski, Meredith, Gregory S. Karczmar, Yahui Peng, et al.. (2016). Pilot Study of the Use of Hybrid Multidimensional T2-Weighted Imaging–DWI for the Diagnosis of Prostate Cancer and Evaluation of Gleason Score. American Journal of Roentgenology. 207(3). 592–598. 25 indexed citations
11.
Sadinski, Meredith, Milica Medved, İbrahim Karademir, et al.. (2015). Short-term reproducibility of apparent diffusion coefficient estimated from diffusion-weighted MRI of the prostate. Abdominal Imaging. 40(7). 2523–2528. 27 indexed citations
12.
Huang, Y. Jessica, et al.. (2011). SU-E-T-527: Comparison of CT-On-Rails and a 3D Surface Imaging System for Image Guided Partial Breast Radiation Therapy. Medical Physics. 38(6Part18). 3610–3610. 1 indexed citations
13.
Sadinski, Meredith, et al.. (2011). SU‐E‐T‐286: A Case Study of More Accurate Phase Re‐Assignment for 4DCT Images. Medical Physics. 38(6Part14). 3553–3553. 1 indexed citations
14.
Wiersma, R, Zhifei Wen, Meredith Sadinski, & Hyejoo Kang. (2010). Development of Frameless SRS using Real-Time 6D Facial Surface Monitoring and Continuous Adaptive Head Motion Correction. International Journal of Radiation Oncology*Biology*Physics. 78(3). S793–S793. 1 indexed citations
15.
Wiersma, R, Zhifei Wen, Meredith Sadinski, Karl Farrey, & Kamil M. Yenice. (2009). Development of a frameless stereotactic radiosurgery system based on real-time 6D position monitoring and adaptive head motion compensation. Physics in Medicine and Biology. 55(2). 389–401. 24 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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