| 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 | 120 | 2016 |
| 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 | 110 | 2020 |
| 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 | 69 | 2020 |
| 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 | 60 | 2020 |
| 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 | 34 | 2020 |
| 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 | 14 | 2018 |
| Treatment planning and evaluation for rectal cancer via image analytics S Viswanath, A Madabhushi, J Antunes US Patent 10,692,607, 2020 | 9 | 2020 |
| 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 | 7 | 2022 |
| 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 | 6 | 2023 |
| 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 | 6 | 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, 445-451, 2020 | 6 | 2020 |
| 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 | 5 | 2017 |
| 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 | 3 | 2019 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 1 | 2021 |
| 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 | 1 | 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| Radiomic features on T2w MRI to predict tumor invasiveness for pre-operative planning in colorectal cancer: preliminary results J Antunes, S Steele, CD WJ, J Brady, R Paspulati ISMRM, 2016 | 1 | 2016 |
