Pauline Mouches

14 papers Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated interictal epileptic spike detection from simple and noisy annotations in MEG data.
CoRR
Pauline Mouches, Julien Jung, Armand Demasson, Agnès Guinard, Romain Bouet, Rosalie Marchal, Romain Quentin
2024 — conf
Time CNN and Graph Convolution Network for Epileptic Spike Detection in Meg Data.
ISBI
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
2023 J jnl
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.
Neuroinformatics
Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
2023 J jnl
Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data.
CoRR
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
2022 — conf
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder.
Computer-Aided Diagnosis
Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
2022 J jnl
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.
J. Am. Medical Informatics Assoc.
Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert
2022 — conf
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model.
MAD@MICCAI
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert
2022 J jnl
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging.
IEEE Trans. Medical Imaging
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2021 J jnl
Detecting brain network communities: Considering the role of information flow and its different temporal scales.
NeuroImage
Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Pauline Mouches, Roberto C. Sotero
2021 — conf
Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets.
BrainLes@MICCAI (2)
Raissa Souza, Anup Tuladhar, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils D. Forkert
2021 — conf
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.
MLCN@MICCAI
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2021 — conf
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder.
MIDL
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert
2020 — conf
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows.
MLCN/RNO-AI@MICCAI
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2020 J jnl
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows.
CoRR
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert