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Seminars |
We define and investigate the Local Rotation Invariance (LRI) and Directional Sensitivity (DS) of radiomics features. Most of the classical features cannot combine the two properties, which are antagonist in simple designs. We propose texture operators based on spherical harmonic wavelets (SHW) invariants and show that they are both LRI and DS. An experimental comparison of SHW, popular radiomics operators and O-group equivariant Convolutional Neural Networks (CNNs) for classifying 3D textures reveals the importance of combining the two properties for optimal pattern characterization.
Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy 19 Jun 2018
Theoretical and Numerical Analysis of Super-Resolution without Grid19 Jun 2018
Fast rotational dictionary learning using steerability 08 May 2018
Hybrid spline dictionaries for continuous-domain inverse problems24 Apr 2018
Fast Multiresolution Reconstruction for Cryo-EM17 Apr 2018
Direct Reconstruction of Clipped Peaks in Bandlimited OFDM Signals13 Mar 2018
Sparsity-based techniques for diffraction tomography27 Feb 2018
Structured Illumination and the Analysis of Single Molecules in Cells09 Feb 2018
Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems30 Jan 2018
Fast Piecewise-Affine Motion Estimation Without Segmentation19 Dec 2017
Continuous Representations in Bioimage Analysis: a Bridge from Pixels to the Real World12 Dec 2017
Steer&Detect on Images 14 Nov 2017
Fundamental computational barriers in inverse problems and the mathematics of information27 Oct 2017
Variational use of B-splines and Kernel Based Functions27 Oct 2017
Deep learning based data manifold projection - a new regularization for inverse problems17 Oct 2017
GlobalBioIm Lib - v2: new tools, more flexibility, and improved composition rules.03 Oct 2017
Fractional Integral transforms and Time-Frequency Representations02 Jun 2017
First steps toward fast PET reconstruction30 May 2017
Lipid membranes and surface reconstruction - a biologically inspired method for 3D segmentation16 May 2017
Optical Diffraction Tomography: Principles and Algorithms09 May 2017
Compressed Sensing for Dose Reduction in STEM Tomography11 Apr 2017
Chasing Mycobacteria10 Apr 2017
Multifractal analysis for signal and image classification23 Mar 2017
Inverse problems and multimodality for biological imaging28 Feb 2017
A unified reconstruction framework for coherent imaging24 Jan 2017
BPConvNet for compressed sensing recovery in bioimaging10 Jan 2017