Results 41 to 50 of about 1,107 (155)
Health Science Reports, Volume 8, Issue 8, August 2025.ABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Mostafa Jafari +6 more
wiley +1 more source
3-D Discrete Analytical Ridgelet Transform [PDF]
IEEE Transactions on Image Processing, 2006 In this paper, we propose an implementation of the 3-D Ridgelet transform: the 3-D discrete analytical Ridgelet transform (3-D DART). This transform uses the Fourier strategy for the computation of the associated 3-D discrete Radon transform. The innovative step is the definition of a discrete 3-D transform with the discrete analytical geometry theory ...
Helbert, David +2 more
openaire +3 more sources
ENO-wavelet transforms for piecewise smooth functions [PDF]
, 2002 We have designed an adaptive essentially nonoscillatory (ENO)-wavelet transform for approximating discontinuous functions without oscillations near the discontinuities. Our approach is to apply the main idea from ENO schemes for numerical shock capturing
Chan, Tony F., Zhou, H. M.
core +2 more sources
Papers in Palaeontology, Volume 11, Issue 3, May/June 2025.Abstract Fossilized food items found in or passed through the digestive tract of an animal (bromalites) offer a window into the dietary habits and ecological role of the producer taxon. Bromalites have been documented from several small to mid‐sized parvipelvian ichthyosaurian species from the Lower Jurassic, but are seldom documented for the largest ...
Giovanni Serafini +3 more
wiley +1 more source
Ridgelet-based signature for natural image classification [PDF]
, 2005 This paper presents an approach to grouping natural scenes into (semantically) meaningful categories. The proposed approach exploits the statistics of natural scenes to define relevant image categories.
Le Borgne, Hervé, O'Connor, Noel E.
core
Deep Convolutional Neural Networks Based on Semi-Discrete Frames
, 2015 Deep convolutional neural networks have led to breakthrough results in practical feature extraction applications. The mathematical analysis of these networks was pioneered by Mallat, 2012.
Bölcskei, Helmut, Wiatowski, Thomas
core +1 more source
The Stationary Phase Approximation, Time-Frequency Decomposition and Auditory Processing [PDF]
, 2012 The principle of stationary phase (PSP) is re-examined in the context of linear time-frequency (TF) decomposition using Gaussian, gammatone and gammachirp filters at uniform, logarithmic and cochlear spacings in frequency. This necessitates consideration
Mulgrew, Bernard
core +2 more sources
Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing
Earth and Space Science, Volume 12, Issue 3, March 2025.Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang +16 more
wiley +1 more source
The curvelet transform for image denoising [PDF]
, 2002 We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and ...
Candès, Emmanuel J. +2 more
core +1 more source
A Note on Fractional Gabor Systems in L2(ℝ)
Journal of Function Spaces, Volume 2024, Issue 1, 2024.In this article, fractional Gabor frames in L2(ℝ) are defined and studied. Also, a finite linear combination of fractional Gabor frames for L2(ℝ) is discussed. It is proved that under certain conditions, a finite linear combination of fractional Gabor frames is a fractional Gabor frame for L2(ℝ).
Dolly Jain +3 more
wiley +1 more source