Daniel S. Reich

Orcid: 0000-0002-2628-4334

According to our database1, Daniel S. Reich authored at least 38 papers between 2007 and 2024.

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

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
PARE: A framework for removal of confounding effects from any distance-based dimension reduction method.
PLoS Comput. Biol., 2024

2023
Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R<sub>2</sub>* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T.
NeuroImage, April, 2023

2022
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
CoRR, 2022

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues.
CoRR, 2022

2021
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.
IEEE Trans. Medical Imaging, 2021

2020
Intensity warping for multisite MRI harmonization.
NeuroImage, 2020

Ex vivo MR microscopy of a human brain with multiple sclerosis: Visualizing individual cells in tissue using intrinsic iron.
NeuroImage, 2020

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

2018
Impulse response timing differences in BOLD and CBV weighted fMRI.
NeuroImage, 2018

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
CoRR, 2018

Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks.
CoRR, 2018

A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016
Statistical estimation of T<sub>1</sub> relaxation times using conventional magnetic resonance imaging.
NeuroImage, 2016

2015
Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.
IEEE J. Biomed. Health Informatics, 2015

2014
Sub-millimeter imaging of brain-free water for rapid volume assessment in atrophic brains.
NeuroImage, 2014

Groupwise multi-atlas segmentation of the spinal cord's internal structure.
Medical Image Anal., 2014

Example based lesion segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013
Micro-compartment specific T<sub>2</sub><sup>⁎</sup> relaxation in the brain.
NeuroImage, 2013

Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes.
NeuroImage, 2013

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
NeuroImage, 2013

Information Criteria for Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Voxel-wise displacement as independent features in classification of multiple sclerosis.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Longitudinal intensity normalization in the presence of multiple sclerosis lesions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Intensity standardization of longitudinal images using 4D clustering.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
In vivo quantification of T<sub>2</sub><sup>⁎</sup> anisotropy in white matter fibers in marmoset monkeys.
NeuroImage, 2012

2011
Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis.
NeuroImage, 2011

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis.
NeuroImage, 2011

Direct segmentation of the major white matter tracts in diffusion tensor images.
NeuroImage, 2011

Fiber tractogrophy and tract segmentation in multiple sclerosis lesions.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Topology preserving automatic segmentation of the spinal cord in magnetic resonance images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.
NeuroImage, 2010

Automated vs. conventional tractography in multiple sclerosis: Variability and correlation with disability.
NeuroImage, 2010

2009
Belief Propagation Based Segmentation of White Matter Tracts in DTI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automated Reconstruction of the Cerebral Cortex in Multiple Sclerosis Patients.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification.
NeuroImage, 2008

2007
Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis.
NeuroImage, 2007


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