| Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas P Chang, J Grinband, BD Weinberg, M Bardis, M Khy, G Cadena, MY Su, ... American Journal of Neuroradiology 39 (7), 1201-1207, 2018 | 401 | 2018 |
| Optimizing neuro-oncology imaging: a review of deep learning approaches for glioma imaging MM Shaver, PA Kohanteb, C Chiou, MD Bardis, C Chantaduly, D Bota, ... Cancers 11 (6), 829, 2019 | 87 | 2019 |
| A 3D-2D hybrid U-net convolutional neural network approach to prostate organ segmentation of multiparametric MRI A Ushinsky, M Bardis, J Glavis-Bloom, E Uchio, C Chantaduly, ... American journal of roentgenology 216 (1), 111-116, 2021 | 55 | 2021 |
| Segmentation of the prostate transition zone and peripheral zone on MR images with deep learning M Bardis, R Houshyar, C Chantaduly, K Tran-Harding, A Ushinsky, ... Radiology: Imaging Cancer 3 (3), e200024, 2021 | 46 | 2021 |
| Applications of artificial intelligence to prostate multiparametric MRI (mpMRI): current and emerging trends MD Bardis, R Houshyar, PD Chang, A Ushinsky, J Glavis-Bloom, ... Cancers 12 (5), 1204, 2020 | 46 | 2020 |
| Deep learning with limited data: organ segmentation performance by U-Net M Bardis, R Houshyar, C Chantaduly, A Ushinsky, J Glavis-Bloom, ... Electronics 9 (8), 1199, 2020 | 30 | 2020 |
| Outcomes of artificial intelligence volumetric assessment of kidneys and renal tumors for preoperative assessment of nephron-sparing interventions R Houshyar, J Glavis-Bloom, TL Bui, C Chahine, MD Bardis, A Ushinsky, ... Journal of Endourology 35 (9), 1411-1418, 2021 | 13 | 2021 |
| Deep learning segmentation of kidneys with renal cell carcinoma. K Yin, C Liu, M Bardis, J Martin, H Liu, A Ushinsky, J Glavis-Bloom, ... Journal of Clinical Oncology 37 (15_suppl), e16098-e16098, 2019 | 12 | 2019 |
| Optimizing neuro-oncology imaging: a review of deep learning approaches for glioma imaging. Cancers (Basel) 11 (6): E829 MM Shaver, PA Kohanteb, C Chiou, MD Bardis, C Chantaduly, D Bota, ... | 5 | 2019 |
| Predictive value of noncontrast head CT with negative findings in the emergency department setting AL Callen, DS Chow, YA Chen, HR Richelle, J Pao, M Bardis, ... American Journal of Neuroradiology 41 (2), 213-218, 2020 | 4 | 2020 |
| Abstract WP395: Detection of Hemorrhagic Expansion With Ai M Nagamine, P Kohanteb, W Yu, M Bardis, TC Wu, L Su, D Chow, ... Stroke 51 (Suppl_1), AWP395-AWP395, 2020 | 3 | 2020 |
| Deep learning hybrid 3D/2D convolutional neural network for prostate MRI recognition. J Van, C Yoon, J Glavis-Bloom, M Bardis, A Ushinsky, DS Chow, P Chang, ... Journal of Clinical Oncology 37 (15_suppl), e16600-e16600, 2019 | 1 | 2019 |
| Automated prostate lesion detection and PI-RADS assessment with deep learning. C Yoon, J Van, M Bardis, P Bhatter, A Ushinsky, J Glavis-Bloom, ... Journal of Clinical Oncology 37 (15_suppl), e16605-e16605, 2019 | 1 | 2019 |
| Musculoskeletal Findings on Prostate MRI: Beyond Metastases J Glavis-Bloom, R Houshyar, A Ushinsky, H Liu, TL Bui, M Bardis, ... Applied Radiology 49 (2), 21-28, 2020 | | 2020 |
| DEEP LEARNING FOR PROSTATE SEGMENTATION: CASE VOLUME AND PERFORMANCE J Carbone, M Bardis, A Sasani, C Chahine, P Bhatter, H Liu, P Chang, ... JOURNAL OF INVESTIGATIVE MEDICINE 68, A46-A47, 2020 | | 2020 |
| DEEP LEARNING CLASSIFICATION OF PROSTATE MRI SEQUENCES P Bhatter, M Bardis, C Chahine, A Ushinsky, D Fujimoto, WA Grant, ... JOURNAL OF INVESTIGATIVE MEDICINE 68, A134-A135, 2020 | | 2020 |
