17 citations · 36 across the 7 of their papers we have counts for
8 papers
FlowLOT: Linearized Optimal Transport for Flow Cytometry Analysis
Naqib Sad Pathan, Mohammad Shifat-E-Rabbi, Kristofor E. Pas +3
Multiparameter flow cytometry generates high-dimensional, unordered single-cell mea- surement data for disease diagnosis and monitoring, yet analysis often remains dependent on man…
IM: An R-Package for Computation of Image Moments and Moment Invariants
Allison Irvine, Tan Dang, M. Murat Dundar +1
Moment invariants are well-established and effective shape descriptors for image classification. In this report, we introduce a package for R-language, named IM, that implements th…
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction
Abida Sanjana Shemonti, Joshua D. Eisenberg, Robert O. Heuckeroth +3
We describe a generative network model of the architecture of the enteric nervous system (ENS) in the colon employing data from images of human and mouse tissue samples obtained th…
A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
Abida Sanjana Shemonti, Emanuele Plebani, Natalia P. Biscola +7
A thorough understanding of the neuroanatomy of peripheral nerves is required for a better insight into their function and the development of neuromodulation tools and strategies.…
Bayesian Nonparametrics for Non-exhaustive Learning
Yicheng Cheng, Bartek Rajwa, Murat Dundar
Non-exhaustive learning (NEL) is an emerging machine-learning paradigm designed to confront the challenge of non-stationary environments characterized by anon-exhaustive training s…
Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates
Ariful Azad, Bartek Rajwa, Alex Pothen
Motivation: We investigate whether a template-based classification pipeline could be used to identify immunophenotypes in (and thereby classify) a heterogeneous disease with many s…
Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices
Austin R. Benson, Jason D. Lee, Bartek Rajwa +1
Numerous algorithms are used for nonnegative matrix factorization under the assumption that the matrix is nearly separable. In this paper, we show how to make these algorithms effi…
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes
Murat Dundar, Ferit Akova, Alan Qi +1
We present a framework for online inference in the presence of a nonexhaustively defined set of classes that incorporates supervised classification with class discovery and modelin…