Pauline Mouches

Postdoc, CRNL

Joined

February 2021

Names

Pauline Mouches (Preferred)

Emails

****@ucalgary.ca (Confirmed)

,

****@inserm.fr (Confirmed)

Personal Links

Career & Education History

Postdoc

CRNL (inserm.fr)

2022 – Present

PhD student

University of Calgary (ucalgary.ca)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

2018 – 2022

Expertise

Medical image processing

Present

Deep learning

Present

Publications

Time CNN and Graph Convolution Network for Epileptic Spike Detection in Meg Data
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
- ISBI 2024
- Readers: Everyone
Distributed learning effectiveness in medical image analysis when trained with limited dataset
Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sonke Langner, Nils Forkert
- Published: 28 Apr 2023, Last Modified: 30 May 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone
Exploring the Role of Explainability for Uncovering Bias in Deep Learning-based Medical Image Analysis
Emma Stanley, Matthias Wilms, Pauline Mouches, Nils Forkert
- Published: 28 Apr 2023, Last Modified: 30 May 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone
Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data
Pauline Mouches, Thibaut Dejean, Julien Jung, Romain Bouet, Carole Lartizien, Romain Quentin
- CoRR 2023
- Readers: Everyone
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System
Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
- Published: 01 Jan 2023, Last Modified: 15 Oct 2023
- Neuroinformatics 2023
- Readers: Everyone
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder
Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
- Medical Imaging: Computer-Aided Diagnosis 2022
- Readers: Everyone
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction
Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert
- Published: 01 Jan 2022, Last Modified: 15 Oct 2023
- J. Am. Medical Informatics Assoc. 2022
- Readers: Everyone
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert
- Published: 01 Jan 2022, Last Modified: 15 Oct 2023
- MAD@MICCAI 2022
- Readers: Everyone
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
- Published: 01 Jan 2022, Last Modified: 15 Oct 2023
- IEEE Trans. Medical Imaging 2022
- Readers: Everyone
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sonke Langner, Nils Forkert
- Published: 31 Mar 2021, Last Modified: 16 May 2023
- MIDL 2021
- Readers: Everyone

View all 16 publications

Co-Authors