About me

Research Interests

Medical Image Processing · Deep Learning · Imaging Biomarkers · Clinical Neurology · Personalized Medicine

Education

Honors & Awards

• Member of Alpha Omega Alpha (AOA) Honor Society (2020)

• Future in Neurological Research Scholarship (2020) -- American Academy of Neurology

• Best Conference Paper Award (2019) – SPIE Medical Imaging: Image Processing (Sponsored by 12Sigma)

• Predoctoral Training Fellowship (2018) – American Heart Association

• Future Clinical Researcher in Neurology (2017) – American Academy of Neurology

• Medical Student Diversity Scholarship (2017) – American Academy of Neurology

• Recipient of Nvidia’s GPU Grant Program (2017, 2018)

• 1^st Place in the School of Engineering Senior Design Competition (2014) -- https://www.youtube.com/watch?v=jKZcBx5XsdA

Select Publications

2020

Bermudez, C., Blaber, J., Remedios, S.W., Reynolds, J.E., Lebel, C., McHugo, M., Heckers, S., Huo, Y., Landman, B.A.. Generalizingdeep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.. SPIE 2020: Medical Imaging.2020, Mar; 11313(1): 113130L.

Bermudez, C., Christman, S., Hao, L., Landman, B.A., Boyd, B., Albert, K., Woodward, N., Shokouhi, S., Vega, J., Andrews, P.,Taylor, W.D.. Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adultdepression. Translational Psychiatry. 2020, Sep; 10(1): 1-11. Cited in PubMed; PMID: 32948749.

Li, Y., Zhang, H., Bermudez, C., Chen, Y., Landman, B.A., Vorobeychik, Y.. Anatomical context protects deep learning fromadversarial perturbations in medical imaging.. Neurocomputing. 2020, Feb; 379(1): 370-378.

Remedios, S.W., Roy, S., Bermudez, C., Patel, M.B., Butman, J.A., Landman, B.A., Pham, D.L.. Distributed deep learning acrossmulti-site datasets for generalized CT hemorrhage segmentation.. Medical Physics. 2020, Jan; 47(1): 89-98.

2019

Huo, Y., Xu, Z., Xiong, Y., Aboud, K., Parvathaneni, P., Bao, S., Bermudez, C., Resnick, S.M., Cutting, L.E., & Landman, B. A. (2019). 3d whole brain segmentation using spatially localized atlas network tiles. NeuroImage, 194, 105-119.

Bermudez, C., Plassard, A. J., Chaganti, S., Huo, Y., Aboud, K. E., Cutting, L. E., ... & Landman, B. A. (2019). Anatomical context improves deep learning on the brain age estimation task. Magnetic Resonance Imaging.

Bao, S., Bermudez, C., Huo, Y., Parvathaneni, P., Rodriguez, W., Resnick, S. M., ... & Lyu, I. (2019). Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields. Magnetic resonance imaging, 59, 143-152.

Nath, V., Remedios, S., Parvathaneni, P., Hansen, C. B., Bayrak, R. G., Bermudez, C., ... & Huo, Y. (2019, March). Harmonizing 1.5 T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. In Medical Imaging 2019: Image Processing (Vol. 10949, p. 109490O). International Society for Optics and Photonics.

Remedios, S., Roy, S., Blaber, J., Bermudez, C., Nath, V., Patel, M. B., ... & Pham, D. L. (2019, March). Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. In Medical Imaging 2019: Image Processing (Vol. 10949, p. 109490A). International Society for Optics and Photonics.

Bermudez, C., Rodriguez, W., Huo, Y., Hainline, A. E., Li, R., Shults, R., ... & Landman, B. A. (2019, March). Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. In Medical Imaging 2019: Image Processing (Vol. 10949, p. 1094922). International Society for Optics and Photonics.

Huo, Y., Terry, J. G., Wang, J., Nath, V., Bermudez, C., Bao, S., ... & Landman, B. A. (2019, March). Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. In Medical Imaging 2019: Image Processing (Vol. 10949, p. 1094917). International Society for Optics and Photonics.

2018

Huo, Y., Xu, Z., Bao, S., Bermudez, C., Moon, H., Parvathaneni, P., ... & Landman, B. A. (2018). Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE transactions on medical imaging, 38(5), 1185-1196.

Nath, V., Parvathaneni, P., Hansen, C. B., Hainline, A. E., Bermudez, C., Remedios, S., ... & Gao, Y. (2018, September). Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 193-201). Springer, Cham.

Huo, Y., Xu, Z., Aboud, K., Parvathaneni, P., Bao, S., Bermudez, C., ... & Landman, B. A. (2018, September). Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 698-705). Springer, Cham.

Tomlinson, S. B., Khambhati, A. N., Bermudez, C., Kamens, R. M., Heuer, G. G., Porter, B. E., & Marsh, E. D. (2018). Alterations of network synchrony after epileptic seizures: An analysis of post-ictal intracranial recordings in pediatric epilepsy patients. Epilepsy research, 143, 41-49.

Bermudez, C., Plassard, A.J., Davis, L.T., Newton, A.T., Resnick, S.M., and Landman, B.A. (2018) Learning implicit brain MRI manifolds with deep learning. SPIE Medical Imaging. International Society for Optics and Photonics. 2018. Accepted for Publication. [arXiv]

Huo, Y., Xu, Z., Bao, S., Bermudez, C., Plassard, A.J., Liu, J., Yao, Y., Assad, A., Abramson, R.G., and Landman, B.A. (2018) Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. Accepted for Publication. [arXiv]

2017

Chaganti, S., Robinson, J. R., Bermudez, C., Lasko, T., Mawn, L. A., & Landman, B. A. (2017). EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (pp. 373-381). Springer, Cham. [Web]

2016

Tomlinson S, Bermudez C, Conley C, Brown M, Porter BE and Marsh ED (2016). Spatiotemporal mapping of interictal spike propagation: a novel methodology applied to pediatric intracranial EEG recordings. Front. Neurol. 7:229. doi: 10.3389/fneur.2016.00229 [Web]

Wise, E. S., Gadomski, S. P., Ilg, A. M., Bermudez, C., Chan, E. W., Izmaylov, M. L., ... & Hocking, K. M. (2016). Independent Preoperative Predictors of Prolonged Length of Stay after Laparoscopic Appendectomy in Patients Over 30 Years of Age: Experience from a Single Institution. The American Surgeon, 82(11), 1092-1097. [Web]

2015

Zhu, X., Dubey, D., Bermudez, C., & Porter, B. E. (2015). Suppressing cAMP response element-binding protein transcription shortens the duration of status epilepticus and decreases the number of spontaneous seizures in the pilocarpine model of epilepsy. Epilepsia, 56(12), 1870-1878. doi:10.1111/epi.13211 [Web]

Press

2018

SPIE Medical Imaging Oral Presentation with VISE [Web]

Awarded American Heart Association (AHA) 2-year Predoctoral Fellowship [Web]