Publications associées à Mapping Brain Morphology with Micro-CT and Topological Data Analysis: From Drosophila to General Applications

Publications associées (10)

Nonparametric network summaries

This thesis is concerned with improving the interpretability of network summaries in both a theoretical and an applied framework, with an application to clinically relevant problems in neuroscience. The theoretical part of this thesis is concerned with gra ...

EPFL2025

biogrowleR: Enhancing Longitudinal Data Analysis

Cathrin Brisken, Giovanna Ambrosini, Andrea Agnoletto, Carlos Henrique Venturi Ronchi, Daria Matvienko, Hazel Margaret Quinn

Time course measurements are used for many applications in biomedical research, ranging from growth curves to drug efficacy testing and high-throughput screening. Statistical methods used to analyze the resulting longitudinal data, such as t-tests or repea ...

Springer Science and Business Media LLC2025

Nanoparticle-modified bacteria for agricultural applications

Maria Malgorzata Marcinek

In order to fight hunger and meet the food demands of a constantly growing human population, drastic changes need to be introduced in the agricultural sector. To achieve that in a sustainable manner, current agricultural practices should be improved and th ...

EPFL2025

Exploiting the diversity of modeling methods to probe systematic biases in strong lensing analyses

Aymeric Alexandre Galan

Challenges inherent to high-resolution and high signal-to-noise data as well as model degeneracies can cause systematic biases in analyses of strong lens systems. In the past decade, the number of lens modeling methods has significantly increased, from pur ...

EDP SCIENCES S A2024

BlueCelluLab: Biologically Detailed Neural Network Experimentation API

Henry Markram, Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Lida Kanari, Mustafa Anil Tuncel, Darshan Mandge, Aurélien Tristan Jaquier

The NEURON simulator, established in 1984 and continuously developed since, stands as the preeminent tool for neuron simulation within computational neuroscience. Its widespread adoption and compatibility with computational clusters and supercomputers unde ...

The Open Journal2024

3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

Ye Wei

Quantitative analysis of microstructural features on the nanoscale, including precipitates, local chemical orderings (LCOs) or structural defects (e.g. stacking faults) plays a pivotal role in understanding the mechanical and physical responses of engineer ...

2024

Euclid preparation LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Frédéric Courbin, Georges Meylan

Euclid will collect an enormous amount of data during the mission’s lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting methods, numerous machine learning (ML) algorithms have been presented for comput ...

2024

The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update

Volodymyr Savchenko

Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference d ...

OXFORD UNIV PRESS2024

A Machine-Learning Architecture for Sensor Fault Detection, Isolation, and Accommodation in Digital Twins

Hossein Darvishi

Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins (DTs). However, sensors might be unreliable due to inherent issues and/or environmental conditions. This article aims at detecting anomal ...

2023

Centimeter-scale mapping of phototrophic biofilms in glacial forefields using visible band ratios and UAV imagery

Tom Ian Battin, Tyler Joe Kohler

Microbial biofilms have received great attention in the last few decades from both aquatic ecologists and biogeomorphologists. Most recently, this has focused on mapping biofilms to understand their spatial distributions and ecosystem services. Such studie ...

2022