Daniel S. Marcus
Affiliations:- Washington University School of Medicine, St. Louis, MO, USA
According to our database1,
Daniel S. Marcus
authored at least 53 papers
between 2004 and 2024.
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Bibliography
2024
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
2023
Frontiers Neuroinformatics, March, 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
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 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
Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease.
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
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research.
Frontiers Neuroinformatics, 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR, 2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease.
Brain Connect., 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
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
2017
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.
NeuroImage, 2017
2016
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research.
Neuroinformatics, 2016
Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration.
NeuroImage, 2016
2015
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data.
NeuroImage, 2015
Frontiers Neuroinformatics, 2015
2014
Frontiers Neuroinformatics, 2014
2013
Human Connectome Project informatics: Quality control, database services, and data visualization.
NeuroImage, 2013
Frontiers Neuroinformatics, 2013
Predicting a multi-parametric probability map of active tumor extent using random forests.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
J. Digit. Imaging, 2012
J. Digit. Imaging, 2012
Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations.
J. Digit. Imaging, 2012
J. Digit. Imaging, 2012
2011
Frontiers Neuroinformatics, 2011
2010
Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults.
J. Cogn. Neurosci., 2010
2009
Derived data storage and exchange workflow for large-scale neuroimaging analyses on the BIRN grid.
Frontiers Neuroinformatics, 2009
2008
A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN).
IEEE Trans. Inf. Technol. Biomed., 2008
2007
The extensible neuroimaging archive toolkit - An informatics platform for managing, exploring, and sharing neuroimaging data.
Neuroinformatics, 2007
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults.
J. Cogn. Neurosci., 2007
2004
A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume.
NeuroImage, 2004