output
20172025
most citedRe-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

94 citations

16 papers

cs.SE2025

Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments

Timothé Boulet, Xavier Hinaut, Clément Moulin-Frier

Software Engineering Agents (SWE-Agents) have proven effective for traditional software engineering tasks with accessible codebases, but their performance for embodied tasks requir…

physics.bio-ph2025

Mean-field analysis of a neural network with stochastic STDP

Pascal Helson, Etienne Tanré, Romain Veltz

Analysing biological spiking neural network models with synaptic plasticity has proven to be challenging both theoretically and numerically. In a network with N all-to-all connecte…

physics.med-ph2025★ 2 cited

Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography

Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44

In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…

q-bio.NC2025

Pursuit of biomarkers of brain diseases: Beyond cohort comparisons

Pascal Helson, Arvind Kumar

Despite the diversity and volume of brain data acquired and advanced AI-based algorithms to analyze them, brain features are rarely used in clinics for diagnosis and prognosis. Her…

eess.IV2024★ 2 cited

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…

stat.ME2024

Structuring, Sequencing, Staging, Selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases

Tiphaine Saulnier, Wassilios G. Meissner, Margherita Fabbri +2

In clinical studies, questionnaires are often used to report disease-related manifestations from clinician and/or patient perspectives. Their analysis can help identify relevant ma…

cs.MA2024★ 2 cited

Cultural evolution in populations of Large Language Models

Jérémy Perez, Corentin Léger, Marcela Ovando-Tellez +4

Research in cultural evolution aims at providing causal explanations for the change of culture over time. Over the past decades, this field has generated an important body of knowl…

cs.LG2023★ 1 cited

Compressed representation of brain genetic transcription

James K Ruffle, Henry Watkins, Robert J Gray +3

The architecture of the brain is too complex to be intuitively surveyable without the use of compressed representations that project its variation into a compact, navigable space.…

q-bio.QM2023★ 1 cited

Patient-perceived progression in multiple system atrophy: natural history of quality of life

Tiphaine Saulnier, Margherita Fabbri, Mélanie Le Goff +6

Health-related quality of life (Hr-QoL) scales provide crucial information on neurodegenerative disease progression, help improving patient care, and constitute a meaningful endpoi…

q-bio.NC2023★ 6 cited

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)

Subba Reddy Oota, Zijiao Chen, Manish Gupta +4

Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it possible to enhance AI b…

cs.CV2022★ 24 cited

FIESTA: Autoencoders for accurate fiber segmentation in tractography

Félix Dumais, Jon Haitz Legarreta, Carl Lemaire +7

White matter bundle segmentation is a cornerstone of modern tractography to study the brain's structural connectivity in domains such as neurological disorders, neurosurgery, and a…

q-bio.NC2022★ 6 cited

Focal and Connectomic Mapping of Transiently Disrupted Brain Function

Michael S. Elmalem, Hanna Moody, James K. Ruffle +5

The distributed nature of the neural substrate, and the difficulty of establishing necessity from correlative data, combine to render the mapping of brain function a far harder tas…

stat.AP2022★ 24 cited

Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints

Cécile Proust-Lima, Tiphaine Saulnier, Viviane Philipps +5

Neurodegenerative diseases are characterized by numerous markers of progression and clinical endpoints. For instance, Multiple System Atrophy (MSA), a rare neurodegenerative synucl…

eess.IV2020★ 53 cited

Filtering in tractography using autoencoders (FINTA)

Jon Haitz Legarreta, Laurent Petit, François Rheault +4

Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlyin…

cs.NE2017★ 13 cited

A graphical, scalable and intuitive method for the placement and the connection of biological cells

Nicolas P. Rougier

We introduce a graphical method originating from the computer graphics domain that is used for the arbitrary and intuitive placement of cells over a two-dimensional manifold. Using…

cs.GL2017★ 94 cited

Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

Fabien Benureau, Nicolas Rougier

Scientific code is not production software. Scientific code participates in the evaluation of a scientific hypothesis. This imposes specific constraints on the code that are often…