Neel Dey

Ph.D. Candidate

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I'm an Electrical Engineer getting a Ph.D. in Computer Science working with Medical Doctors. I'm as confused as you are.

Research Interests: Computer Vision, Medical Image Analysis, Machine Learning, and Tensor Algebra

Journal Papers:

Dey, Neel, et al. "Tensor Decompositions for Hyperspectral Images of Autofluorescent Retinal Tissue", Medical Image Analysis, 2019. (Accepted) (Impact Factor: 8.88)

Conference Papers:

Dey, Neel, et al. "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy", MICCAI, 2019.

Dey, Neel, et al. "Multi-modal Image Fusion for Multispectral Super-resolution in Microscopy", SPIE Medical Imaging, 2019. (Oral Presentation)

Conference Abstracts:

Dey, Neel, et al. "Consistent Automatic Spectral Signature Recovery of Human retinal pigment epithelium (RPE) Lipofuscin Components and Drusen in Donors with Age-related Macular Degeneration (AMD) using Multi-Excitation Hyperspectral Autofluorescence (AF) Imaging." Investigative Ophthalmology & Visual Science 58.8 (2017): 399-399.

Ach, Thomas, et al. "High-resolution and multispectral imaging of autofluorescent retinal pigment epithelium (RPE) granules." Investigative Ophthalmology & Visual Science 58.8 (2017): 3382-3382

Tong, Yuehong, et al. "Hyperspectral Autofluorescence (AF) and Mechanisms of Retinal Pigment Epithelium (RPE) Lipofuscin Loss in Age-Related Macular Degeneration (AMD)." Investigative Ophthalmology & Visual Science 58.8 (2017): 404-404.

Mohammed, Taariq, et al. "Improved spectral recovery and tissue localization of autofluorescence (AF) signatures in donor eyes with age-related macular degeneration (AMD) using multi excitation hyperspectral AF imaging." Investigative Ophthalmology & Visual Science 58.8 (2017): 383-383.


New York University 2017

Master of Science, Electrical Engineering


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