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
762016
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
132020
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
132020
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
92018
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
42020
Treatment planning and evaluation for rectal cancer via image analytics
S Viswanath, A Madabhushi, J Antunes
US Patent 10,692,607, 2020
32020
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
32017
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, 113140V, 2020
12020
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
12019
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
US Patent App. 16/882,936, 2021
2021
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, 2020
2020
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, AS Bamashmos, N Beig, J Antunes, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
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
2020
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, 113141W, 2020
2020
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
2020
PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS
JT Antunes
Case Western Reserve University, 2020
2020
COMPUTERIZED IMAGING FEATURES OF PRIMARY RECTAL CANCER ON BASELINE T2-WEIGHTED MRI MAY ENABLE ACCURATE PREDICTION OF PATIENTS WHO WILL ACHIEVE PATHOLOGIC COMPLETE RESPONSE OR …
J Antunes, A Ofshteyn, A Madabhushi, A Purysko, E Marderstein, SL Stein, ...
DISEASES OF THE COLON & RECTUM 62 (6), E53-E54, 2019
2019
COMPUTERIZED IMAGING FEATURES OF RECTAL WALL AND PERIRECTAL FAT ON T2-WEIGHTED MRI ARE ASSOCIATED WITH COMPLETE PATHOLOGIC TUMOR STAGE REGRESSION AFTER CHEMORADIATION: INITIAL …
Z Wei, M Yim, J Antunes, K Bera, JT Brady, A Madabhushi, CP Delaney, ...
DISEASES OF THE COLON & RECTUM 62 (6), E281-E282, 2019
2019
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
2019
The system can't perform the operation now. Try again later.
Articles 1–20