Joe P. Windham

1.3k total citations
54 papers, 1.0k citations indexed

About

Joe P. Windham is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joe P. Windham has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 29 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joe P. Windham's work include Medical Image Segmentation Techniques (26 papers), Advanced MRI Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Joe P. Windham is often cited by papers focused on Medical Image Segmentation Techniques (26 papers), Advanced MRI Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Joe P. Windham collaborates with scholars based in United States, Iran and Germany. Joe P. Windham's co-authors include Hamid Soltanian‐Zadeh, Donald J. Peck, A.E. Yagle, Robert A. Knight, Michael A. Jacobs, Allan M. Haggar, Jerry Froelich, David A. Reimann, David Hearshen and Mahmoud A. Abdallah and has published in prestigious journals such as Radiology, Brain Research and Hypertension.

In The Last Decade

Joe P. Windham

49 papers receiving 976 citations

Peers

Joe P. Windham
E. Bullitt United States
Peter McLaren Black United States
Ali Gooya United Kingdom
Alfiia Galimzianova United States
Navid Shiee United States
Donald J. Peck United States
E. Bullitt United States
Joe P. Windham
Citations per year, relative to Joe P. Windham Joe P. Windham (= 1×) peers E. Bullitt

Countries citing papers authored by Joe P. Windham

Since Specialization
Citations

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

Fields of papers citing papers by Joe P. Windham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe P. Windham. 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 Joe P. Windham. The network helps show where Joe P. Windham may publish in the future.

Co-authorship network of co-authors of Joe P. Windham

This figure shows the co-authorship network connecting the top 25 collaborators of Joe P. Windham. A scholar is included among the top collaborators of Joe P. Windham 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 Joe P. Windham. Joe P. Windham 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.
Jacobs, Michael A., Robert A. Knight, Hamid Soltanian‐Zadeh, et al.. (2000). Unsupervised segmentation of multiparameter MRI in experimental cerebral ischemia with comparison to T2, diffusion, and ADC MRI parameters and histopathological validation. Journal of Magnetic Resonance Imaging. 11(4). 425–437. 76 indexed citations
2.
Jacobs, Michael A., Joe P. Windham, Hamid Soltanian‐Zadeh, Donald J. Peck, & Robert A. Knight. (1999). Registration and warping of magnetic resonance images to histological sections. Medical Physics. 26(8). 1568–1578. 89 indexed citations
3.
Jacobs, Michael A., Robert A. Knight, Joe P. Windham, et al.. (1999). Identification of cerebral ischemic lesions in rat using eigenimage filtered magnetic resonance imaging. Brain Research. 837(1-2). 83–94. 24 indexed citations
4.
Soltanian‐Zadeh, Hamid, et al.. (1998). A 3D deformable surface model for segmentation of objects from volumetric data in medical images. Computers in Biology and Medicine. 28(3). 239–253. 33 indexed citations
5.
Soltanian‐Zadeh, Hamid, et al.. (1998). Segmentation of the hippocampus from brain MRI using deformable contours. Computerized Medical Imaging and Graphics. 22(3). 203–216. 42 indexed citations
6.
Soltanian‐Zadeh, Hamid & Joe P. Windham. (1997). A multiresolution approach for contour extraction from brain images. Medical Physics. 24(12). 1844–1853. 29 indexed citations
7.
Soltanian‐Zadeh, Hamid, Joe P. Windham, & Donald J. Peck. (1996). Optimal linear transformation for MRI feature extraction. IEEE Transactions on Medical Imaging. 15(6). 749–767. 46 indexed citations
8.
Peck, Donald J., et al.. (1996). Cerebral tumor volume calculations using planimetric and eigenimage analysis. Medical Physics. 23(12). 2035–2042. 38 indexed citations
9.
Soltanian‐Zadeh, Hamid, et al.. (1996). <title>CT artifact correction: an image-processing approach</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2710. 477–485. 19 indexed citations
10.
Soltanian‐Zadeh, Hamid, Joe P. Windham, & A.E. Yagle. (1995). A multidimensional nonlinear edge-preserving filter for magnetic resonance image restoration. IEEE Transactions on Image Processing. 4(2). 147–161. 53 indexed citations
11.
Roebuck, Joseph R., Joe P. Windham, & David Hearshen. (1994). Segmentation of MRS signals using ASPECT (Analysis of SPectra using Eigenvector deComposition of Targets). Medical Physics. 21(2). 277–285. 2 indexed citations
12.
Flynn, Michael, et al.. (1993). Diagnostic performance with enhanced digital mammographic films. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1897. 143–143. 3 indexed citations
13.
Soltanian‐Zadeh, Hamid, Joe P. Windham, Donald J. Peck, & A.E. Yagle. (1992). A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences. IEEE Transactions on Medical Imaging. 11(3). 302–318. 70 indexed citations
14.
Peck, Donald J., Joe P. Windham, Hamid Soltanian‐Zadeh, & Joseph R. Roebuck. (1992). A fast and accurate algorithm for volume determination in MRI. Medical Physics. 19(3). 599–605. 34 indexed citations
15.
Gross, Michael L., et al.. (1991). Water Loading Improves Specificity in Renal Imaging. Journal of Nuclear Medicine Technology. 19(3). 168–172. 1 indexed citations
16.
Haggar, Allan M., Joe P. Windham, David A. Reimann, David Hearshen, & Jerry Froelich. (1989). Eigenimage filtering in MR imaging: An application in the abnormal chest wall. Magnetic Resonance in Medicine. 11(1). 85–97. 21 indexed citations
17.
Windham, Joe P., Mahmoud A. Abdallah, David A. Reimann, Jerry Froelich, & Allan M. Haggar. (1988). Eigenimage Filtering in MR Imaging. Journal of Computer Assisted Tomography. 12(1). 1–9. 102 indexed citations
18.
Nally, Joseph V., et al.. (1987). Captopril renography in two kidney and one kidney Goldblatt hypertension in dogs.. PubMed. 28(7). 1171–9. 14 indexed citations
19.
Ackerman, L V, Joe P. Windham, P.C. Shetty, et al.. (1986). Breast lesions: differential diagnosis using digital subtraction angiography.. Radiology. 159(1). 39–42. 43 indexed citations
20.
Windham, Joe P., et al.. (1985). The use of generalized eigenimage analysis for feature selection in MR image sequences. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 20(6). 540–7. 1 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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