Robert Grzeszczuk

749 total citations
17 papers, 559 citations indexed

About

Robert Grzeszczuk is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Robert Grzeszczuk has authored 17 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Robert Grzeszczuk's work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiology practices and education (3 papers). Robert Grzeszczuk is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiology practices and education (3 papers). Robert Grzeszczuk collaborates with scholars based in United States and Türkiye. Robert Grzeszczuk's co-authors include Kim K. Tan, David Levin, Vernon L. Towle, Jean‐Paul Spire, Raif Çakmur, Samuel Frank, Charles A. Pelizzari, George T.Y. Chen, Lane F. Donnelly and Carolina V. Guimaraes and has published in prestigious journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

Robert Grzeszczuk

17 papers receiving 522 citations

Peers

Robert Grzeszczuk

RNMI

CVPR

PMH

Jian Le United States

G.J. Carroll New Zealand

Kim K. Tan United States

Scott A. Beardsley United States

Paul Brickett Canada

Alexander Schäfer Germany

Ting Ma China

Sujoy Ghosh Hajra Canada

Suresh Joel United States

Kun‐Han Lu United States

Jian Le United States

Robert Grzeszczuk

726 ×2.3

162 ×1.3

RNMI

47 ×0.7

30 ×0.5

CVPR

43 ×0.9

PMH

Citations per year, relative to Robert Grzeszczuk Robert Grzeszczuk (= 1×) peers Jian Le

Countries citing papers authored by Robert Grzeszczuk

Since Specialization

Citations

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

Fields of papers citing papers by Robert Grzeszczuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Grzeszczuk

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

All Works

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17 of 17 papers shown

Donnelly, Lane F., Robert Grzeszczuk, & Carolina V. Guimaraes. (2022). Use of Natural Language Processing (NLP) in Evaluation of Radiology Reports: An Update on Applications and Technology Advances. Seminars in Ultrasound CT and MRI. 43(2). 176–181. 27 indexed citations

Donnelly, Lane F., Robert Grzeszczuk, Carolina V. Guimaraes, Wei Zhang, & George S. Bisset. (2018). Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between Radiologists When Using Highly Structured Versus More Free Text Reporting. Current Problems in Diagnostic Radiology. 48(6). 524–530. 14 indexed citations

Guimaraes, Carolina V., Robert Grzeszczuk, George S. Bisset, & Lane F. Donnelly. (2017). Comparison Between Manual Auditing and a Natural Language Process With Machine Learning Algorithm to Evaluate Faculty Use of Standardized Reports in Radiology. Journal of the American College of Radiology. 15(3). 550–553. 10 indexed citations

Abbasi, Hamidreza, Robert Grzeszczuk, Rebecca Fahrig, et al.. (2001). Clinical Fluoroscopic Fiducial-Based Registration of the Vertebral Body in Spinal Neuronavigation. Studies in health technology and informatics. 81. 1–7. 5 indexed citations

Abbasi, Hamidreza, et al.. (2001). <title>Development of fluoroscopic registration in spinal neuronavigation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4319. 380–385. 2 indexed citations

Jani, Ashesh B., Charles A. Pelizzari, George T.Y. Chen, & Robert Grzeszczuk. (1998). Technical Note. Accuracy of Object Depiction and Opacity Transfer Function Optimization in CT Volume-Rendered Images. Journal of Computer Assisted Tomography. 22(3). 459–470. 11 indexed citations

Grzeszczuk, Robert, et al.. (1996). Untangling knots by stochastic energy optimization. IEEE Visualization. 25(11). 279–286. 8 indexed citations

Pelizzari, Charles A., Robert Grzeszczuk, George T.Y. Chen, et al.. (1996). Volumetric visualization of anatomy for treatment planning. International Journal of Radiation Oncology*Biology*Physics. 34(1). 205–211. 24 indexed citations

Grzeszczuk, Robert. (1995). Brownian strings: image segmentation with stochastically deformable models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2622. 865–870. 2 indexed citations

10.

Pelizzari, Charles A., et al.. (1995). 2082 A pilot study on the use of volume visualization in image-based treatment planning for head and neck cancer. International Journal of Radiation Oncology*Biology*Physics. 32. 302–302. 1 indexed citations

11.

Grzeszczuk, Robert & David Levin. (1994). <title>Brownian strings: segmenting images with stochastically deformable contours</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2359. 72–89. 12 indexed citations

12.

Tan, Kim K., Robert Grzeszczuk, D.N. Levin, et al.. (1993). A frameless stereotactic approach to neurosurgical planning based on retrospective patient-image registration. Journal of neurosurgery. 79(2). 296–303. 63 indexed citations

13.

Towle, Vernon L., Kim K. Tan, Robert Grzeszczuk, et al.. (1993). The spatial location of EEG electrodes: locating the best-fitting sphere relative to cortical anatomy. Electroencephalography and Clinical Neurophysiology. 86(1). 1–6. 349 indexed citations

14.

Grzeszczuk, Robert, Kim K. Tan, David N. Levin, et al.. (1992). Retrospective Fusion of Radiographic and MR Data for Localization of Subdural Electrodes. Journal of Computer Assisted Tomography. 16(5). 764–773. 27 indexed citations

15.

Grzeszczuk, Robert, S.L. Eddins, & Thomas A. DeFanti. (1992). <title>Filling regions using a crack code boundary description</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1778. 226–237. 1 indexed citations

16.

Grzeszczuk, Robert & David N. Levin. (1992). Segmenting images by simulated annealing. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2222–2222. 1 indexed citations

17.

Grzeszczuk, Robert, Noam Alperin, David Levin, et al.. (1992). Multimodality intracranial angiography: Registration and integration of conventional angiograms and MRA data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1396. 2783–2784. 2 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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