Camilo Bermudez

Orcid: 0000-0002-9461-5094

According to our database1, Camilo Bermudez authored at least 26 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.
Neuroinformatics, 2022

2021
Body Part Regression With Self-Supervision.
IEEE Trans. Medical Imaging, 2021

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
IEEE Trans. Medical Imaging, 2021

High-resolution 3D abdominal segmentation with random patch network fusion.
Medical Image Anal., 2021

2020
Anatomical context protects deep learning from adversarial perturbations in medical imaging.
Neurocomputing, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

Contrast phase classification with a generative adversarial network.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Estimation of Biological Parameters of Cutaneous Ulcers Caused by Leishmaniasis in an Animal Model Using Diffuse Reflectance Spectroscopy.
Sensors, 2019

3D whole brain segmentation using spatially localized atlas network tiles.
NeuroImage, 2019

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution.
CoRR, 2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Contextual Deep Regression Network for Volume Estimation in Orbital CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Towards Portable Large-Scale Image Processing with High-Performance Computing.
J. Digit. Imaging, 2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
CoRR, 2018

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Learning implicit brain MRI manifolds with deep learning.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
CoRR, 2017

EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017


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