Camilo Bermúdez

发表

Body Part Regression With Self-Supervision

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2021, IEEE Transactions on Medical Imaging.

Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression

Kimberly M Albert, Jennifer N. Vega, Brian D. Boyd, 2020, Translational Psychiatry.

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

Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, 2019, Medical Imaging: Image Processing.

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

Camilo Bermudez, Prasanna Parvathaneni, Ilwoo Lyu, 2018, Lecture notes-monograph series.

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data pdf

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, MICCAI.

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

Snehashis Roy, Camilo Bermudez, Bennett A. Landman, 2019, Medical Imaging: Image Processing.

Distributed Deep Learning Across Multi-site Datasets for Generalized CT Hemorrhage Segmentation.

Snehashis Roy, Camilo Bermudez, Bennett A Landman, 2019, Medical physics.

Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.

Brian D. Boyd, Warren D. Taylor, B. Boyd, 2021, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

3D whole brain segmentation using spatially localized atlas network tiles

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, NeuroImage.

High-resolution 3D abdominal segmentation with random patch network fusion

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2020, Medical Image Anal..

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2018, IEEE Transactions on Medical Imaging.

Learning implicit brain MRI manifolds with deep learning

Camilo Bermudez, Andrew J. Plassard, Susan M. Resnick, 2018, Medical Imaging.

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis

Cailey I. Kerley, T. Lasko, B. Landman, 2022, Neuroinformatics.

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2017, Medical Imaging.

Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, Magnetic resonance imaging.

Anatomical context protects deep learning from adversarial perturbations in medical imaging

Yifan Chen, Camilo Bermudez, Yevgeniy Vorobeychik, 2020, Neurocomputing.

Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning

Camilo Bermudez, Yuankai Huo, Maureen McHugo, 2020, Journal of medical imaging.

Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

Camilo Bermudez, Yuankai Huo, Maureen McHugo, 2019, Medical Imaging: Image Processing.

Anatomical context improves deep learning on the brain age estimation task.

Camilo Bermudez, Yuankai Huo, Susan M Resnick, 2019, Magnetic resonance imaging.

EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function

Camilo Bermudez, Bennett A. Landman, Louise A. Mawn, 2017, DLMIA/ML-CDS@MICCAI.

Contextual Deep Regression Network for Volume Estimation in Orbital CT

Camilo Bermudez, Bennett A. Landman, Louise A. Mawn, 2019, MICCAI.