Pamela LaMontagne

Orcid: 0000-0002-6752-8518

Affiliations:
  • Washington University in St Louis School of Medicine, MO, USA


According to our database1, Pamela LaMontagne authored at least 13 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3.
NeuroImage, 2022

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
CoRR, 2022

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).
CoRR, 2022

2021
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
NeuroImage, 2020

Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

2016
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research.
Neuroinformatics, 2016

2003
Cortical mechanisms for acquisition and performance of bimanual motor sequences.
NeuroImage, 2003


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