Camilo Jaimes

According to our database, Camilo Jaimes authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning.

Davood Karimi, Camilo Calixto, Haykel Snoussi, Bo Li, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Lana Pierotich, Camilo Jaimes, Ali Gholipour, Simon K. Warfield

IEEE Trans. Medical Imaging, March, 2026

USFetal: Tools for Fetal Brain Ultrasound Compounding.

Mohammad Khateri, Morteza Ghahremani, Sergio Valencia, Camilo Jaimes, Alejandra Sierra, Jussi Tohka, Patricia Ellen Grant, Davood Karimi

CoRR, January, 2026

PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI.

Yohan Jun, Qiang Liu, Ting Gong, Jaejin Cho, Shohei Fujita, Xingwang Yong, Congyu Liao, Marianna E. Schmidt, Shahin Nasr, Camilo Jaimes, Michael S. Gee, Susie Yi Huang, Lipeng Ning, Anastasia Yendiki, Yogesh Rathi, Berkin Bilgic

Medical Image Anal., 2026

2025

MRI Super-Resolution with Deep Learning: A Comprehensive Survey.

Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani, Liam Timms, Deniz Kocanaogullari, Simon K. Warfield, Camilo Jaimes, Davood Karimi, Alejandra Sierra, Jussi Tohka, Sila Kurugol, Onur Afacan

CoRR, November, 2025

2024

Anatomically constrained tractography of the fetal brain.

Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi

NeuroImage, 2024

Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data.

Javid Dadashkarimi, Valeria Pena Trujillo, Camilo Jaimes, Lilla Zöllei, Malte Hoffmann

CoRR, 2024

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning.

Davood Karimi, Camilo Calixto, Haykel Snoussi, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Camilo Jaimes, Ali Gholipour, Simon K. Warfield

CoRR, 2024

2022

Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction.

Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield

IEEE Trans. Medical Imaging, 2022

Subject-specific quantitative susceptibility mapping using patch based deep image priors.

Arvind Balachandrasekaran, Davood Karimi, Camilo Jaimes, Ali Gholipour

CoRR, 2022

2021

Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions.

Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield

IEEE Trans. Computational Imaging, 2021

Learning to estimate  the fiber orientation distribution function from diffusion-weighted MRI.

Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Simon K. Warfield, Ali Gholipour

NeuroImage, 2021

Deep learning-based parameter estimation in fetal diffusion-weighted MRI.

Davood Karimi, Camilo Jaimes, Fedel Machado-Rivas, Lana Vasung, Shadab Khan, Simon K. Warfield, Ali Gholipour

NeuroImage, 2021

A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging.

Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour

Medical Image Anal., 2021

Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data.

Davood Karimi, Lana Vasung, Fedel Machado-Rivas, Camilo Jaimes, Shadab Khan, Ali Gholipour

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Lilla Zöllei, Camilo Jaimes, Elie Saliba, Patricia Ellen Grant, Anastasia Yendiki

NeuroImage, 2019