| Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast‐enhanced MRI C Liu, J Ding, K Spuhler, Y Gao, M Serrano Sosa, M Moriarty, S Hussain, ... Journal of Magnetic Resonance Imaging 49 (1), 131-140, 2019 | 195 | 2019 |
| Optimizing the peritumoral region size in radiomics analysis for sentinel lymph node status prediction in breast cancer J Ding, S Chen, MS Sosa, R Cattell, L Lei, J Sun, P Prasanna, C Liu, ... Academic radiology 29, S223-S228, 2022 | 62 | 2022 |
| Prediction of abnormal bone density and osteoporosis from lumbar spine MR using modified Dixon Quant in 257 subjects with quantitative computed tomography as reference Y Zhao, M Huang, J Ding, X Zhang, K Spuhler, S Hu, M Li, W Fan, L Chen, ... Journal of Magnetic Resonance Imaging 49 (2), 390-399, 2019 | 55 | 2019 |
| Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI J Ding, P Cao, HC Chang, Y Gao, SHS Chan, V Vardhanabhuti Insights into imaging 11, 1-11, 2020 | 52 | 2020 |
| Task‐based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis KD Spuhler, J Ding, C Liu, J Sun, M Serrano‐Sosa, M Moriarty, C Huang Magnetic resonance in medicine 82 (2), 786-795, 2019 | 43 | 2019 |
| Discrimination of pulmonary ground-glass opacity changes in COVID‐19 and non-COVID-19 patients using CT radiomics analysis C Xie, MY Ng, J Ding, ST Leung, CSY Lo, HYF Wong, V Vardhanabhuti European journal of radiology open 7, 100271, 2020 | 38 | 2020 |
| Reproducible automated breast density measure with no ionizing radiation using fat‐water decomposition MRI J Ding, AT Stopeck, Y Gao, MT Marron, BC Wertheim, MI Altbach, ... Journal of Magnetic Resonance Imaging 48 (4), 971-981, 2018 | 35 | 2018 |
| Breast lesion characterization using whole‐lesion histogram analysis with stretched‐exponential diffusion model C Liu, K Wang, X Li, J Zhang, J Ding, K Spuhler, T Duong, C Liang, ... Journal of Magnetic Resonance Imaging 47 (6), 1701-1710, 2018 | 33 | 2018 |
| Automatic contour refinement for deep learning auto-segmentation of complex organs in MRI-guided adaptive radiotherapy J Ding, Y Zhang, A Amjad, J Xu, D Thill, XA Li Advances in Radiation Oncology, 100968, 2022 | 20 | 2022 |
| Sulindac, a nonselective NSAID, reduces breast density in postmenopausal women with breast cancer treated with aromatase inhibitors PA Thompson, C Huang, J Yang, BC Wertheim, D Roe, X Zhang, J Ding, ... Clinical Cancer Research 27 (20), 5660-5668, 2021 | 18 | 2021 |
| Diffusion entropy: a potential neuroimaging biomarker of bipolar disorder in the temporal pole K Spuhler, E Bartlett, J Ding, C DeLorenzo, R Parsey, C Huang Synapse 72 (2), e22015, 2018 | 16 | 2018 |
| Preoperative prediction of lymph node metastasis using deep learning-based features R Cattell, J Ying, L Lei, J Ding, S Chen, M Serrano Sosa, C Huang Visual computing for industry, biomedicine, and art 5 (1), 8, 2022 | 15 | 2022 |
| A prior knowledge-guided, deep learning-based semiautomatic segmentation for complex anatomy on magnetic resonance imaging Y Zhang, Y Liang, J Ding, A Amjad, E Paulson, E Ahunbay, WA Hall, ... International Journal of Radiation Oncology* Biology* Physics 114 (2), 349-359, 2022 | 12 | 2022 |
| The test-retest reliability of fat-water ratio MRI derived breast density measurements and automated breast segmentation J Ding, PA Thompson, MT Marron, DJ Roe, JP Galons, CA Thomson, ... ISMRM 24th Annual Scientific Meeting & Exhibition, 2016 | 6 | 2016 |
| Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy J Ding, Y Zhang, A Amjad, C Sarosiek, NP Dang, M Zarenia, XA Li Physics in Medicine & Biology 68 (5), 055004, 2023 | 4 | 2023 |
| Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs A Amjad, J Xu, D Thill, Y Zhang, J Ding, E Paulson, W Hall, BA Erickson, ... Frontiers in Oncology 13, 1209558, 2023 | 3 | 2023 |
| Comprehensive clinical usability-oriented contour quality evaluation for deep learning auto-segmentation: combining multiple quantitative metrics through machine learning Y Zhang, A Amjad, J Ding, C Sarosiek, M Zarenia, R Conlin, WA Hall, ... Practical radiation oncology 15 (1), 93-102, 2025 | 2 | 2025 |
| Auto-correction for inaccurate auto-segmentation of abdominal MRI by combining deep learning and active contour method M Zarenia, Y Zhang, J Ding, C Sarosiek, A Amjad, NP Dang, R Conlin, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), S33, 2023 | 2 | 2023 |
| A deep learning-based automatic contour quality assurance pipeline for complex anatomy on MRI Y Zhang, A Amjad, J Ding, EE Ahunbay, A Li International Journal of Radiation Oncology, Biology, Physics 111 (3), e509, 2021 | 2 | 2021 |
| Repeatability of Magnetic Resonance Fingerprinting using ISMRM/NIST MRI Phantom in Philips 3T MRI Scanner V Vardhanabhuti, HT Au, J Ding, EYP Lee, P Cao, SK Hui International Society of Magnetic Resonance Imaging (ISMRM) Virtual …, 2020 | 2 | 2020 |
