Publications

Rate-Regularization and Generalization in VAEs. In AISTATS, 2021.
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). In MedIA, 2020.
Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy. In JID, 2019.
Facilitating the Adoption of Reflectance Confocal Microscopy (RCM) in Clinical Cancer Care Practice with Machine Learning. In FAC Symposium, 2019.
Structured Disentagled Representations. In AISTATS, 2019.
Can VAEs generate novel examples?. In CRACT, 2018.
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. In MICCAI, 2018.
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. Microscopy Histopathology and Analytics, 2018.
Delineation of Skin Strata in Reflectance Confocal Microscopy Images With Recurrent Convolutional Networks. In CVMI, 2017.
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. In ML4H, 2017.
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.
Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering. In SRT, 2016.
Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis. In JAMA Opthalmology, 2016.
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.
Deconvolution using projections onto the epigraph set of a convex cost function. In SIU, 2014.
Projections onto convex sets (POCS) based optimization by lifting. In GlobalSIP, 2014.