89 citations · 240 across the 20 of their papers we have counts for
23 papers
The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images
Le Gong, Shiying Li, Naqib Sad Pathan +4
Here we describe a new image representation technique based on the mathematics of transport and optimal transport. The method relies on the combination of the well-known Radon tran…
Transport-based morphometry of nuclear structures of digital pathology images in cancers
Mohammad Shifat E Rabbi, Natasha Ironside, John A Ozolek +3
Alterations in nuclear morphology are useful adjuncts and even diagnostic tools used by pathologists in the diagnosis and grading of many tumors, particularly malignant tumors. Lar…
Transport Model for the Propagation of Partially-Coherent, Polarization-Gradient Vector Beams
J. M. Nichols, D. V. Nickel, G. K. Rohde +1
In a recent work [20], we predicted and experimentally validated a new physical mechanism for altering the propagation path of a monochromatic beam. Specifically, we showed that by…
Signed Cumulative Distribution Transform for Parameter Estimation of 1-D Signals
Sumati Thareja, Gustavo Rohde, Rocio Diaz Martin +2
We describe a method for signal parameter estimation using the signed cumulative distribution transform (SCDT), a recently introduced signal representation tool based on optimal tr…
Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification
Abu Hasnat Mohammad Rubaiyat, Mohammad Shifat-E-Rabbi, Yan Zhuang +2
This paper presents a new method to classify 1D signals using the signed cumulative distribution transform (SCDT). The proposed method exploits certain linearization properties of…
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
Akram Aldroubi, Rocio Diaz Martin, Ivan Medri +2
This paper presents a new mathematical signal transform that is especially suitable for decoding information related to non-rigid signal displacements. We provide a measure theoret…