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Jacob Antunes
Jacob Antunes
MIM Software Inc
Verified email at mimsoftware.com
Title
Cited by
Cited by
Year
Radiomics analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: a proof-of-concept study
J Antunes, S Viswanath, M Rusu, L Valls, C Hoimes, N Avril, ...
Translational oncology 9 (2), 155-162, 2016
1182016
Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma
N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ...
Clinical Cancer Research 26 (8), 1866-1876, 2020
792020
Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation …
JT Antunes, A Ofshteyn, K Bera, EY Wang, JT Brady, JE Willis, ...
Journal of Magnetic Resonance Imaging 52 (5), 1531-1541, 2020
632020
MRQy—An open‐source tool for quality control of MR imaging data
AR Sadri, A Janowczyk, R Zhou, R Verma, N Beig, J Antunes, ...
Medical physics 47 (12), 6029-6038, 2020
432020
Radiomic texture and shape descriptors of the rectal environment on post-chemoradiation T2-weighted MRI are associated with pathologic tumor stage regression in rectal cancers …
C Alvarez-Jimenez, JT Antunes, N Talasila, K Bera, JT Brady, J Gollamudi, ...
Cancers 12 (8), 2027, 2020
302020
Coregistration of preoperative MRI with ex vivo mesorectal pathology specimens to spatially map post-treatment changes in rectal cancer onto in vivo imaging: preliminary findings
J Antunes, S Viswanath, JT Brady, B Crawshaw, P Ros, S Steele, ...
Academic radiology 25 (7), 833-841, 2018
142018
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls
Y Hiremath, M Ismail, R Verma, J Antunes, P Tiwari
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 445-451, 2020
52020
RADIomic spatial textural descriptor (RADISTAT): Characterizing intra-tumoral heterogeneity for response and outcome prediction
J Antunes, P Prasanna, A Madabhushi, P Tiwari, S Viswanath
International Conference on Medical Image Computing and Computer-Assisted …, 2017
52017
RADIomic Spatial TexturAl descripTor (RADISTAT): Quantifying spatial organization of imaging heterogeneity associated with tumor response to treatment
JT Antunes, M Ismail, I Hossain, Z Wang, P Prasanna, A Madabhushi, ...
IEEE journal of biomedical and health informatics 26 (6), 2627-2636, 2022
42022
Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study
T DeSilvio, JT Antunes, K Bera, P Chirra, H Le, D Liska, SL Stein, ...
Frontiers in Medicine 10, 1149056, 2023
22023
Characterizing intra-tumoral heterogeneity for response and outcome prediction using radiomic spatial textural descriptor (RADISTAT)
A Madabhushi, S Viswanath, J Antunes, P Tiwari
US Patent 10,650,515, 2020
22020
Spatial-And-Context Aware (SpACe) “Virtual Biopsy” Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI
M Ismail, R Correa, K Bera, R Verma, A Saeed Bamashmos, N Beig, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
22020
Structural rectal atlas deformation (strad) features for characterizing intra-and peri-wall chemoradiation response on mri
J Antunes, Z Wei, C Alvarez-Jimenez, E Romero, M Ismail, A Madabhushi, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
22019
Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI
T DeSilvio, J Antunes, P Chirra, K Bera, J Gollamudi, R Paspulati, ...
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019
22019
SPARTA: An integrated stability, discriminability, and sparsity based radiomic feature selection approach
AR Sadri, S Azarianpour Esfahani, P Chirra, J Antunes, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
12021
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers
A Selvam, J Antunes, K Bera, A Ofshteyn, JT Brady, K Bingmer, ...
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 196-202, 2020
12020
Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers
S Nanda, JT Antunes, K Bera, JT Brady, K Friedman, JE Willis, ...
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020
12020
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation
S Nanda, JT Antunes, A Selvam, K Bera, JT Brady, J Gollamudi, ...
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019
12019
Structural rectal atlas deformation features for characterizing intra-wall and peri-wall chemoradiation response on magnetic resonance imaging (MRI)
A Madabhushi, J Antunes, Z Wei, P Tiwari, SE Viswanath, CA Jimenez
US Patent 11,798,179, 2023
2023
Integrating a Tool to Automatically Determine Necessity of Online Adaptive Replanning
HG Nasief, AK Parchur, JT Antunes, B Lee, AS Nelson, ES Paulson, A Li
International Journal of Radiation Oncology, Biology, Physics 117 (2), e701, 2023
2023
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