Jacob Antunes

Orcid: 0000-0002-5437-5639

According to our database1, Jacob Antunes authored at least 12 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J. Biomed. Health Informatics, 2022

2021
SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data.
CoRR, 2020

Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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