activity
20142026
most citedPhase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images

33 citations · 33 across the 4 of their papers we have counts for

collaborators

6 papers

eess.IV2026

FloVMos: Optical Flow-based Medical Video Mosaicking

Jinyang Liu, Sandesh Ghimire, Chaman Singh +5

Biomedical imaging modalities often require a trade-off among resolution, field of view (FOV), and acquisition speed. Video mosaicking offers a strategy to overcome this limitation…

cs.CV2026

CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy

Tooba Imtiaz, Milind Rajadhyaksha, Kivanc Kose +1

Reflectance confocal microscopy (RCM) provides noninvasive, cellular-resolution "optical biopsies" of human skin \emph{in vivo} by acquiring en-face images at successive depths, fo…

cs.LG2023

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma

Max Torop, Aria Masoomi, Davin Hill +3

Several recent methods for interpretability model feature interactions by looking at the Hessian of a neural network. This poses a challenge for ReLU networks, which are piecewise-…

eess.IV2020

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context

Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein +21

Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algo…

math.OC2015★ 33 cited

Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images

Mohammad Tofighi, Onur Yorulmaz, A. Enis Cetin

In this article, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin. Therefore,…

cs.DS2014

Deconvolution Using Projections Onto The Epigraph Set of a Convex Cost Function

Mohammad Tofighi, Alican Bozkurt, A. Enis Cetin

A new deconvolution algorithm based on orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization pro…