Meritxell Bach Cuadra

Meritxell Bach Cuadra

Université de Lausanne

H-index: 34

Europe-Switzerland

About Meritxell Bach Cuadra

Meritxell Bach Cuadra, With an exceptional h-index of 34 and a recent h-index of 29 (since 2020), a distinguished researcher at Université de Lausanne, specializes in the field of Image processing, Medical Image Analysis, Machine Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging

Lesion Instance Segmentation in Multiple Sclerosis: Assessing the Efficacy of Statistical Lesion Splitting

Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

In-vivo imaging of the human thalamus: a comprehensive evaluation of structural magnetic resonance imaging approaches for thalamic nuclei differentiation at 7T

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

Multi-modal segmentation for paramagnetic rim lesion detection in multiple sclerosis

Maturation-informed synthetic Magnetic Resonance Images of the Developing Human Fetal Brain

Meritxell Bach Cuadra Information

University

Position

Radiology Department (CHUV) - CIBM Center for Biomedical Imaging (UNIL)

Citations(all)

5801

Citations(since 2020)

3044

Cited By

3689

hIndex(all)

34

hIndex(since 2020)

29

i10Index(all)

96

i10Index(since 2020)

67

Email

University Profile Page

Université de Lausanne

Google Scholar

View Google Scholar Profile

Meritxell Bach Cuadra Skills & Research Interests

Image processing

Medical Image Analysis

Machine Learning

Computer Vision

Top articles of Meritxell Bach Cuadra

Title

Journal

Author(s)

Publication Date

Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging

medRxiv

Samuel Lamon

Priscille de Dumast

Vincent Dunet

Leo Pomar

Yvan Vial

...

2023

Lesion Instance Segmentation in Multiple Sclerosis: Assessing the Efficacy of Statistical Lesion Splitting

Maxence Wynen

Pedro M Gordaliza

Anna Stölting

Pietro Maggi

Meritxell Bach

2024

Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study

bioRxiv

Hamza Kebiri

Ali Gholipour

Lana Vasung

Željka Krsnik

Davood Karimi

...

2023/7/2

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

arXiv preprint arXiv:2403.15103

Vladyslav Zalevskyi

Thomas Sanchez

Margaux Roulet

Jordina Aviles Verddera

Jana Hutter

...

2024/3/22

In-vivo imaging of the human thalamus: a comprehensive evaluation of structural magnetic resonance imaging approaches for thalamic nuclei differentiation at 7T

arXiv preprint arXiv:2404.06122

Cristina Sainz Martinez

José P Marques

Gabriele Bonanno

Tom Hilbert

Constantin Tuleasca

...

2024/4/9

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

arXiv preprint arXiv:2402.09463

Kelly Payette

Céline Steger

Roxane Licandro

Priscille de Dumast

Hongwei Bran Li

...

2024/2/8

Multi-modal segmentation for paramagnetic rim lesion detection in multiple sclerosis

Maxence Wynen

Pedro M Gordaliza

Anna Stölting

Pietro Maggi

Meritxell Bach Cuadra

...

2024/4/2

Maturation-informed synthetic Magnetic Resonance Images of the Developing Human Fetal Brain

bioRxiv

Helene Lajous

Andres le Boeuf Flo

Pedro M Gordaliza

Oscar Esteban

Ferran Marques

...

2024

Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation

Brain Structure and Function

Julie P Vidal

Lola Danet

Patrice Péran

Jérémie Pariente

Meritxell Bach Cuadra

...

2024/3/28

ConfLUNet: Improving Confluent Lesion Identification in Multiple Sclerosis using Instance Segmentation

Maxence Wynen

Maxime Istasse

Pedro Macias Gordaliza

Anna Stölting

Pietro Maggi

...

2024

Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis

Joe Najm

Pedro Macias Gordaliza

Germán Barquero

Francesco La Rosa

Nataliia Molchanova

...

2023

Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation

Priscille de Dumast

Meritxell Bach Cuadra

2023/4/18

Direct segmentation of brain white matter tracts in diffusion MRI

ArXiv

Hamza Kebiri

Ali Gholipour

Meritxell Bach Cuadra

Davood Karimi

2023/7/5

Robust estimation of the microstructure of the early developing brain using deep learning

Hamza Kebiri

Ali Gholipour

Rizhong Lin

Lana Vasung

Davood Karimi

...

2023/10/1

Multimodal magnetic resonance imaging depicts widespread and subregion specific anomalies in the Thalamus of early-psychosis and chronic schizophrenia patients

Schizophrenia Bulletin

Yasser Alemán-Gómez

Thomas Baumgartner

Paul Klauser

Martine Cleusix

Raoul Jenni

...

2023/1/1

Self-Supervised Isotropic Superresolution Fetal Brain MRI

Kay Lächler

Hélène Lajous

Michael Unser

Meritxell Bach Cuadra

Pol Del Aguila Pla

2023/4/18

Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability

Brain Structure and Function

Kevin de Matos

Claire Cury

Lydia Chougar

Lachlan T Strike

Thibault Rolland

...

2023/7

Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction

Priscille de Dumast

Thomas Sanchez

Hélène Lajous

Meritxell Bach Cuadra

2023/10/1

Cross-age and cross-site domain shift impacts on deep learning-based white matter fiber estimation in newborn and baby brains

arXiv preprint arXiv:2312.14773

Rizhong Lin

Ali Gholipour

Jean-Philippe Thiran

Davood Karimi

Hamza Kebiri

...

2023/12/22

Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis

Nataliia Molchanova

Vatsal Raina

Andrey Malinin

Francesco La Rosa

Henning Muller

...

2023/4/18

See List of Professors in Meritxell Bach Cuadra University(Université de Lausanne)