output
19932026
most citedObservation of a narrow charmonium-like state in exclusive B+ -> K+ pi+pi- J/psi decays

2k citations

Showing 2023Show all

34 papers · 1 filter

cs.LG2023★ 19 cited

Change points detection in crime-related time series: an on-line fuzzy approach based on a shape space representation

Fabrizio Albertetti, Lionel Grossrieder, Olivier Ribaux +1

The extension of traditional data mining methods to time series has been effectively applied to a wide range of domains such as finance, econometrics, biology, security, and medici…

eess.IV2023★ 8 cited

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran +3

Deep learning models have shown great promise in estimating tissue microstructure from limited diffusion magnetic resonance imaging data. However, these models face domain shift ch…

cs.CV2023★ 6 cited

Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation

Nataliia Molchanova, Vatsal Raina, Andrey Malinin +7

This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segment…

q-bio.TO2023★ 3 cited

In vivo impact on rabbit subchondral bone of viscosupplementation with a hyaluronic acid antioxidant conjugate

Romain Rieger, Sema Kaderli, Caroline Boulocher

This study aimed to assess the effects of an antioxidant-conjugated Hyaluronic Acid (HA), specifically HA-4-aminoresorcinol (HA4AR), on articular cartilage and subchondral bone in…

eess.IV2023★ 15 cited

FetMRQC: a robust quality control system for multi-centric fetal brain MRI

Thomas Sanchez, Oscar Esteban, Yvan Gomez +8

Fetal brain MRI is becoming an increasingly relevant complement to neurosonography for perinatal diagnosis, allowing fundamental insights into fetal brain development throughout ge…

math.NA2023

Approximating Sparse Matrices and their Functions using Matrix-vector products

Taejun Park, Yuji Nakatsukasa

The computation of a matrix function is an important task in scientific computing appearing in machine learning, network analysis and the solution of partial differential eq…