James D. Dormer

588 total citations
40 papers, 415 citations indexed

About

James D. Dormer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James D. Dormer has authored 40 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in James D. Dormer's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Maternal and fetal healthcare (6 papers) and Medical Image Segmentation Techniques (6 papers). James D. Dormer is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Maternal and fetal healthcare (6 papers) and Medical Image Segmentation Techniques (6 papers). James D. Dormer collaborates with scholars based in United States and China. James D. Dormer's co-authors include Baowei Fei, Martin Halicek, James V. Little, Amy Y. Chen, Maysam Shahedi, Larry L. Myers, Baran D. Sumer, Ling Ma, Matthew A. Lewis and Yin Xi and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Medical Physics and Cancers.

In The Last Decade

James D. Dormer

38 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Dormer United States 11 214 146 65 56 51 40 415
Maysam Shahedi United States 11 215 1.0× 151 1.0× 127 2.0× 110 2.0× 44 0.9× 37 435
Derek Merck United States 12 130 0.6× 147 1.0× 52 0.8× 93 1.7× 12 0.2× 43 441
Sasank Chilamkurthy United States 4 268 1.3× 128 0.9× 184 2.8× 55 1.0× 8 0.2× 6 663
Swetha Tanamala United States 5 283 1.3× 118 0.8× 185 2.8× 53 0.9× 8 0.2× 8 662
Vasantha Kumar Venugopal India 7 325 1.5× 127 0.9× 227 3.5× 82 1.5× 9 0.2× 23 785
Suguru Yasutomi Japan 8 147 0.7× 34 0.2× 83 1.3× 31 0.6× 6 0.1× 18 347
Patricia García‐Canadilla Spain 14 125 0.6× 79 0.5× 29 0.4× 10 0.2× 17 0.3× 38 563
Florian Prayer Austria 11 413 1.9× 127 0.9× 100 1.5× 45 0.8× 5 0.1× 36 646
Mostafa Ghelich Oghli Iran 9 237 1.1× 107 0.7× 98 1.5× 97 1.7× 3 0.1× 19 386
Evan Hirst New Zealand 4 303 1.4× 120 0.8× 14 0.2× 46 0.8× 20 0.4× 5 545

Countries citing papers authored by James D. Dormer

Since Specialization
Citations

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

Fields of papers citing papers by James D. Dormer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Dormer. 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 James D. Dormer. The network helps show where James D. Dormer may publish in the future.

Co-authorship network of co-authors of James D. Dormer

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Dormer. A scholar is included among the top collaborators of James D. Dormer 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 James D. Dormer. James D. Dormer 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.
Dormer, James D., Maysam Shahedi, N. Quyen, et al.. (2022). CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. PubMed. 12032. 20–20. 3 indexed citations
2.
Shahedi, Maysam, James D. Dormer, Ling Ma, et al.. (2022). LED-based hyperspectral endoscopic imaging. PubMed. 11954. 26–26. 8 indexed citations
3.
Dormer, James D., et al.. (2022). An augmented reality-assisted visualization system for potential applications in prostate biopsy. PubMed. 12034. 86–86. 5 indexed citations
4.
5.
6.
Reilly, Carolyn M., Melinda Higgins, Javed Butler, et al.. (2021). The Contribution of Thoracic Radiation Dose Volumes to Subsequent Development of Cardiovascular Disease in Cancer Survivors. The Journal of Cardiovascular Nursing. 37(5). E129–E138.
7.
Shahedi, Maysam, James D. Dormer, Martin Halicek, & Baowei Fei. (2021). Technical note: The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks. Medical Physics. 49(2). 1153–1160. 3 indexed citations
8.
Dormer, James D., et al.. (2021). Virtual reality assisted cardiac catheterization. PubMed. 11598. 82–82. 2 indexed citations
9.
Chhabra, Avneesh, James D. Dormer, Phillip H. Jones, et al.. (2020). Abdominal muscle segmentation from CT using a convolutional neural network. PubMed. 11317. 20–20. 13 indexed citations
10.
Le, Phuc Van, Maysam Shahedi, Jeffrey Gahan, et al.. (2020). A complex dual-modality kidney phantom for renal biopsy studies. PubMed. 11319. 17–17. 2 indexed citations
11.
Dormer, James D., et al.. (2020). Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging. PubMed. 11215. 31–31. 4 indexed citations
12.
Shahedi, Maysam, James D. Dormer, N. Quyen, et al.. (2020). Segmentation of uterus and placenta in MR images using a fully convolutional neural network. PubMed. 11314. 59–59. 15 indexed citations
13.
Halicek, Martin, et al.. (2020). Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. PubMed. 11317. 58–58. 7 indexed citations
14.
Halicek, Martin, James D. Dormer, James V. Little, Amy Y. Chen, & Baowei Fei. (2020). Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning. Biomedical Optics Express. 11(3). 1383–1383. 77 indexed citations
15.
Dormer, James D., et al.. (2020). Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. PubMed. 11315. 34–34. 1 indexed citations
16.
Dormer, James D., et al.. (2020). Siamese neural networks for the classification of high-dimensional radiomic features. PubMed. 11314. 131–131. 2 indexed citations
17.
Li, Qinmei, et al.. (2019). Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. PubMed. 10950. 148–148. 6 indexed citations
18.
Dormer, James D., et al.. (2019). Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging. PubMed. 10955. 1–1. 9 indexed citations
19.
Dormer, James D., Martin Halicek, Ling Ma, et al.. (2018). Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. PubMed. 10575. 107–107. 10 indexed citations
20.
Dormer, James D., et al.. (2018). Imaging technologies for cardiac fiber and heart failure: a review. Heart Failure Reviews. 23(2). 273–289. 23 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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