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Mohammad Eslami, Ph.D.

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Massachusetts Eye and Ear, Boston, USAPostdoc2020-Machine Leaning/Vision for Medicine
Florida International University, Miami, USAPostdoc2019-20Machine Leaning/Vision for Medicine
RWTH University Hospital, Aachen, GermanyPostdoc2018-19Machine Leaning/Vision for Medicine
Shahid Beheshti UniversityPostdoc2016-17Machine Leaning/Vision
Shahid Beheshti UniversityPh.D.2015Telecommunication Engineering

Dr. Eslami is an electrical engineer whose interests are machine learning, machine vision, and optimization for medicine. He is willing to interdisciplinary medical research activities especially medical image and data analysis. He has been working in these areas since 2007 and has accomplished multiple projects and software.

Keywords: Medical Image Analysis, Machine learning, Deep learning, Data analysis.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Eslami M, Kim JA, Zhang M, Boland MV, Wang M, Chang DS, Elze T. Visual Field Prediction: Evaluating the Clinical Relevance of Deep Learning Models. Ophthalmol Sci. 2023 Mar; 3(1):100222. PMID: 36325476; PMCID: PMC9619031.
  2. Halawa OA, Jin Q, Pasquale LR, Kang JH, Lorch AC, Sobrin L, Miller JW, Li Y, Eslami M, Wang M, Zebardast N, Elze T. Race and Ethnicity Differences in Disease Severity and Visual Field Progression Among Glaucoma Patients. Am J Ophthalmol. 2022 10; 242:69-76. PMID: 35654121.
    Citations:    Fields:    
  3. Saini C, Shen LQ, Pasquale LR, Boland MV, Friedman DS, Zebardast N, Fazli M, Li Y, Eslami M, Elze T, Wang M. Assessing Surface Shapes of the Optic Nerve Head and Peripapillary Retinal Nerve Fiber Layer in Glaucoma with Artificial Intelligence. Ophthalmol Sci. 2022 Sep; 2(3):100161. PMID: 36245761.
  4. Eslami, M., Tabarestani, S., Albarqouni, S., Adeli, E., Navab, N. and Adjouadi, M. Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. IEEE Transactions on Medical Imaging. 2020; 39(7). View Publication.
  5. Tabarestani, S., Aghili, M., Eslami, M., Cabrerizo, M., Barreto, A., Rishe, N., Curiel, R.E., Loewenstein, D., Duara, R. and Adjouadi, M. A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study. NeuroImage. 2020; 206. View Publication.
  6. Eslami, M., Neuschaefer-Rube, C. and Serrurier, A. Automatic vocal tract landmark localization from midsagittal MRI data. Nature Scientific Reports. 2020; 10(1). View Publication.
  7. Zhai, X., Eslami, M., Hussein, E.S., Filali, M.S., Shalaby, S.T., Amira, A., Bensaali, F., Dakua, S., Abinahed, J., Al-Ansari, A. and Ahmed, A.Z. Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip. Journal of computational science. 2018; 27. View Publication.
  8. Eslami, M., Torkamani-Azar, F., and Mehrshahi, E. A centralized PSD map construction by distributed compressive sensing. IEEE Communications Letters. 2015; 19(3). View Publication.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.