Samuel Remedios

Orcid: 0000-0001-8634-8128

According to our database¹, Samuel Remedios authored at least 24 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Nucleus subtype classification using inter-modality learning.

[BibT_eX]

[DOI]

CoRR, 2024

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.

[BibT_eX]

[DOI]

CoRR, 2024

2023

HACA3: A unified approach for multi-site MR image harmonization.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., October, 2023

AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.

[BibT_eX]

[DOI]

CoRR, 2023

A deep generative prior for high-resolution isotropic MR head slices.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022

Efficient quality control with mixed CT and CTA datasets.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiple Sclerosis brain lesion segmentation with different architecture ensembles.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Joint Image and Label Self-super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

MR Slice Profile Estimation by Learning to Match Internal Patch Distributions.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.

[BibT_eX]

[DOI]

Vishwesh Nath

Samuel Remedios

Prasanna Parvathaneni

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Learning 3D White Matter Microstructure from 2D Histology.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.

[BibT_eX]

[DOI]

Vishwesh Nath

Prasanna Parvathaneni

CoRR, 2018

Classifying magnetic resonance image modalities with convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Samuel Remedios

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...