Selected Publications

Morphological tissue patterns in RCM images are critical in diagnosis of melanocytic lesions. We present a multiresolution deep learning framework that can automatically annotate RCM images for these diagnostic patterns with high sensitivity and specificity.
Microscopy Histopathology and Analytics, 2018

Recent Publications

More Publications

. A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. Microscopy Histopathology and Analytics, 2018.

Preprint PDF

. Delineation of Skin Strata in Reflectance Confocal Microscopy Images With Recurrent Convolutional Networks. In CVPRW, 2017.

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. Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. In ML4H, 2017.

Preprint Poster

. Deep learning based classification of morphological patterns in reflectance confocal microscopy to guide noninvasive diagnosis of melanocytic lesions. In SPIE Photonics West BioS 2017, 2017.

Slides

. Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering. In SRT, 2016.

PDF

. Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis. In JAMA Opthalmology, 2016.

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. Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis. In TVST, 2015.

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. Deconvolution using projections onto the epigraph set of a convex cost function. In SIU, 2014.

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