no code implementations • 28 Oct 2024 • Roua Rouatbi, Juan Esteban Suarez, Ivo F. Sbalzarini
We introduce the Push-Forward Signed Distance Morphometric (PF-SDM), a novel method for shape quantification in biomedical imaging that is continuous, interpretable, and invariant to shape-preserving transformations.
no code implementations • 27 Jul 2023 • Dominik Sturm, Suryanarayana Maddu, Ivo F. Sbalzarini
We use a combination of unsupervised clustering and sparsity-promoting inference algorithms to learn locally dominant force balances that explain macroscopic pattern formation in self-organized active particle systems.
no code implementations • 21 Jan 2022 • Suryanarayana Maddu, Quentin Vagne, Ivo F. Sbalzarini
We present a principled data-driven strategy for learning deterministic hydrodynamic models directly from stochastic non-equilibrium active particle trajectories.
no code implementations • 7 Dec 2021 • Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu, Krzysztof Gonciarz, Ivo F. Sbalzarini
Here, we provide the algorithmic building blocks required to efficiently and natively process APR images using a wide range of algorithms that can be formulated in terms of discrete convolutions.
no code implementations • 2 Jul 2021 • Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
We characterize and remedy a failure mode that may arise from multi-scale dynamics with scale imbalances during training of deep neural networks, such as Physics Informed Neural Networks (PINNs).
no code implementations • 15 Jan 2021 • Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
Often, this requires high-resolution or adaptive discretization grids to capture relevant spatio-temporal features in the PDE solution, e. g., in applications like turbulence, combustion, and shock propagation.
no code implementations • 22 Dec 2020 • Lutz Brusch, Yannis Kalaidzidis, Kirstin Meyer, Ivo F. Sbalzarini, Marino Zerial
Bile, the central metabolic product of the liver, is secreted by hepatocytes into bile canaliculi (BC), tubular subcellular structures of 0. 5-2 $\mu$m diameter which are formed by the apical membranes of juxtaposed hepatocytes.
no code implementations • 11 Dec 2020 • Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
We propose a statistical learning framework based on group-sparse regression that can be used to 1) enforce conservation laws, 2) ensure model equivalence, and 3) guarantee symmetries when learning or inferring differential-equation models from measurement data.
no code implementations • 30 Sep 2020 • Karl B. Hoffmann, Ivo F. Sbalzarini
The identification of singular points or topological defects in discretized vector fields occurs in diverse areas ranging from the polarization of the cosmic microwave background to liquid crystals to fingerprint recognition and bio-medical imaging.
1 code implementation • 17 Jul 2019 • Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller
We show that in particular the combination of stability selection with the iterative hard-thresholding algorithm from compressed sensing provides a fast, parameter-free, and robust computational framework for PDE inference that outperforms previous algorithmic approaches with respect to recovery accuracy, amount of data required, and robustness to noise.
2 code implementations • 16 Jun 2019 • Ulrik Günther, Tobias Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, Pavel Tomancak, Stefan Gumhold, Ivo F. Sbalzarini
Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data resulting from analysis of such data or simulations.
Graphics
no code implementations • 13 Aug 2014 • Yuanhao Gong, Ivo F. Sbalzarini
We provide motivation for this choice from different points of view, and we fully validate the resulting prior for use on biomedical images by showing its stability and correlation with image quality.
no code implementations • 2 Mar 2014 • Ivo F. Sbalzarini, Sophie Schneider, Janick Cardinale
We show how particle methods as applied to image segmentation allow for a simple and computationally efficient implementation of Sobolev gradients.