Camilo Bermudez

1.2k total citations
29 papers, 594 citations indexed

About

Camilo Bermudez is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Psychiatry and Mental health. According to data from OpenAlex, Camilo Bermudez has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Psychiatry and Mental health. Recurrent topics in Camilo Bermudez's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Camilo Bermudez is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Camilo Bermudez collaborates with scholars based in United States and China. Camilo Bermudez's co-authors include Bennett A. Landman, Yuankai Huo, Shunxing Bao, Zhoubing Xu, Prasanna Parvathaneni, Susan M. Resnick, Laurie E. Cutting, Katherine S. Aboud, Brenda E. Porter and Richard G. Abramson and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Epilepsia.

In The Last Decade

Camilo Bermudez

27 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camilo Bermudez United States 13 262 166 112 105 81 29 594
Lotta M. Ellingsen United States 12 214 0.8× 173 1.0× 98 0.9× 116 1.1× 105 1.3× 27 590
Jennifer L. Cuzzocreo United States 17 272 1.0× 177 1.1× 56 0.5× 102 1.0× 64 0.8× 21 759
Qingyu Zhao United States 15 220 0.8× 95 0.6× 187 1.7× 239 2.3× 48 0.6× 64 779
Benjamin Billot United States 9 259 1.0× 100 0.6× 48 0.4× 154 1.5× 39 0.5× 17 623
Charles Huang United States 12 294 1.1× 198 1.2× 154 1.4× 171 1.6× 118 1.5× 24 880
Annemie Ribbens Belgium 14 265 1.0× 92 0.6× 63 0.6× 142 1.4× 55 0.7× 37 752
Emma Lewis United Kingdom 13 313 1.2× 115 0.7× 35 0.3× 100 1.0× 43 0.5× 55 602
Saori Koshino Japan 13 373 1.4× 71 0.4× 99 0.9× 131 1.2× 31 0.4× 19 632
Ilwoo Lyu United States 16 353 1.3× 153 0.9× 53 0.5× 220 2.1× 49 0.6× 54 596
Lu Meng China 11 135 0.5× 84 0.5× 79 0.7× 111 1.1× 94 1.2× 43 438

Countries citing papers authored by Camilo Bermudez

Since Specialization
Citations

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

Fields of papers citing papers by Camilo Bermudez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilo Bermudez

This figure shows the co-authorship network connecting the top 25 collaborators of Camilo Bermudez. A scholar is included among the top collaborators of Camilo Bermudez 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 Camilo Bermudez. Camilo Bermudez 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.
Bermudez, Camilo, Jeremy A. Syrjanen, Nikki H. Stricker, et al.. (2025). Impact of cardiovascular risk factors on plasma biomarkers in prediction of Alzheimer's and cerebrovascular neuropathology. The Journal of Prevention of Alzheimer s Disease. 12(8). 100224–100224. 2 indexed citations
2.
Wannarong, Thapat, Camilo Bermudez, Scott D.Z. Eggers, et al.. (2025). Very-Late Onset Multiple Acyl-Coenzyme A Dehydrogenase Deficiency Associated With Sertraline Use: A Case Report. Journal of Clinical Neuromuscular Disease. 27(1). 14–17.
3.
Bermudez, Camilo, Timothy G. Lesnick, Vijay K. Ramanan, et al.. (2024). Optical Coherence Tomography Angiography Retinal Imaging Associations With Burden of Small Vessel Disease and Amyloid Positivity in the Brain. Journal of Neuro-Ophthalmology. 45(1). 63–70. 1 indexed citations
4.
Bermudez, Camilo, Jeremy A. Syrjanen, Zachi I. Attia, et al.. (2024). Older predicted age using AI EKG‐based age prediction is associated with higher Alzheimer’s disease neuropathologic change. Alzheimer s & Dementia. 20(S2).
5.
Bermudez, Camilo, Jonathan Graff‐Radford, Jeremy A. Syrjanen, et al.. (2023). Plasma biomarkers for prediction of Alzheimer’s disease neuropathologic change. Acta Neuropathologica. 146(1). 13–29. 24 indexed citations
6.
Bermudez, Camilo, Bennett A. Landman, Sarah M. Szymkowicz, et al.. (2021). Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression. American Journal of Geriatric Psychiatry. 30(9). 1015–1025. 10 indexed citations
7.
Tang, Yucheng, Riqiang Gao, Shizhong Han, et al.. (2021). Body Part Regression With Self-Supervision. IEEE Transactions on Medical Imaging. 40(5). 1499–1507. 12 indexed citations
8.
Bermudez, Camilo, Bennett A. Landman, Brian D. Boyd, et al.. (2020). Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression. Translational Psychiatry. 10(1). 317–317. 56 indexed citations
9.
Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2020). High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Analysis. 69. 101894–101894. 35 indexed citations
10.
Bermudez, Camilo, Karthik Ramadass, Maureen McHugo, et al.. (2020). Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning. Journal of Medical Imaging. 7(6). 64004–64004. 2 indexed citations
11.
Li, Yi, et al.. (2019). Anatomical context protects deep learning from adversarial perturbations in medical imaging. Neurocomputing. 379. 370–378. 27 indexed citations
12.
Huo, Yuankai, Zhoubing Xu, Katherine S. Aboud, et al.. (2019). 3D whole brain segmentation using spatially localized atlas network tiles. NeuroImage. 194. 105–119. 185 indexed citations
13.
Huo, Yuankai, James G. Terry, Vishwesh Nath, et al.. (2019). Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. PubMed. 10949. 42–42. 11 indexed citations
14.
Roy, Snehashis, Justin A. Blaber, Camilo Bermudez, et al.. (2019). Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. PubMed. 10949. 9–9. 11 indexed citations
15.
Bao, Shunxing, Camilo Bermudez, Yuankai Huo, et al.. (2019). Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields. Magnetic Resonance Imaging. 59. 143–152. 12 indexed citations
16.
Bermudez, Camilo, Andrew J. Plassard, Shikha Chaganti, et al.. (2019). Anatomical context improves deep learning on the brain age estimation task. Magnetic Resonance Imaging. 62. 70–77. 26 indexed citations
17.
Huo, Yuankai, Zhoubing Xu, Shunxing Bao, et al.. (2018). Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. PubMed. 10574. 8–8. 40 indexed citations
18.
Tomlinson, Samuel B., Ankit N. Khambhati, Camilo Bermudez, et al.. (2018). Alterations of network synchrony after epileptic seizures: An analysis of post-ictal intracranial recordings in pediatric epilepsy patients. Epilepsy Research. 143. 41–49. 5 indexed citations
19.
Chaganti, Shikha, Jamie R. Robinson, Camilo Bermudez, et al.. (2017). EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. Lecture notes in computer science. 2017. 373–381. 2 indexed citations
20.
Tomlinson, Samuel B., et al.. (2016). Spatiotemporal Mapping of Interictal Spike Propagation: A Novel Methodology Applied to Pediatric Intracranial EEG Recordings. Frontiers in Neurology. 7. 229–229. 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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