| MRI-based glomerular morphology and pathology in whole human kidneys SC Beeman, LA Cullen-McEwen, VG Puelles, M Zhang, T Wu, ... American Journal of Physiology-Renal Physiology 306 (11), F1381-F1390, 2014 | 120 | 2014 |
| Measuring glomerular number and size in perfused kidneys using MRI SC Beeman, M Zhang, L Gubhaju, T Wu, JF Bertram, DH Frakes, ... American Journal of Physiology-Renal Physiology 300 (6), F1454-F1457, 2011 | 120 | 2011 |
| Medical machine time-series event data processor VR Saripalli, G Avinash, M Zhang, R Soni, J Guan, P Dibyajyoti, Z Ma US Patent 11,404,145, 2022 | 85 | 2022 |
| Small blob identification in medical images using regional features from optimum scale M Zhang, T Wu, KM Bennett IEEE transactions on biomedical engineering 62 (4), 1051-1062, 2014 | 84 | 2014 |
| Phenotyping by magnetic resonance imaging nondestructively measures glomerular number and volume distribution in mice with and without nephron reduction EJ Baldelomar, JR Charlton, SC Beeman, BD Hann, L Cullen-McEwen, ... Kidney international 89 (2), 498-505, 2016 | 73 | 2016 |
| Efficient small blob detection based on local convexity, intensity and shape information M Zhang, T Wu, SC Beeman, L Cullen-McEwen, JF Bertram, JR Charlton, ... IEEE transactions on medical imaging 35 (4), 1127-1137, 2015 | 46 | 2015 |
| A prior feature SVM–MRF based method for mouse brain segmentation T Wu, MH Bae, M Zhang, R Pan, A Badea NeuroImage, 2011 | 44 | 2011 |
| Deep learning architecture for automated image feature extraction M Zhang, GB Avinash US Patent 10,796,221, 2020 | 40 | 2020 |
| Image analysis using deviation from normal data M Zhang, GB Avinash US Patent 11,093,820, 2021 | 25 | 2021 |
| Deep convolutional neural network with self-transfer learning M Zhang, GB Avinash US Patent 10,460,440, 2019 | 25 | 2019 |
| Visualization of medical device event processing GB Avinash, Q Zhao, Z Ma, P Dibyajyoti, VR Saripalli, R Soni, J Guan, ... US Patent App. 16/656,034, 2020 | 23 | 2020 |
| Classification based on annotation information Q Zhao, M Zhang, G Avinash US Patent 10,885,400, 2021 | 20 | 2021 |
| Determining confident data samples for machine learning models on unseen data M Zhang, GB Avinash, Z Ma, KH Leung, W Jin US Patent 11,593,650, 2023 | 17 | 2023 |
| Training an auto-encoder on a single class M Zhang, GB Avinash US Patent 10,607,135, 2020 | 16 | 2020 |
| Automated Detection of Z-Axis Coverage with Abdomen-Pelvis Computed Tomography Examinations M Zhang, C Wellnitz, C Cui, W Pavlicek, T Wu Journal of Digital Imaging 28, 362-367, 2015 | 11 | 2015 |
| A novel Hessian based algorithm for rat kidney glomerulus detection in 3D MRI M Zhang, T Wu, KM Bennett Medical Imaging 2015: Image Processing 9413, 714-722, 2015 | 11 | 2015 |
| Random-forest-algorithm-based applications of the basic characteristics and serum and imaging biomarkers to diagnose mild cognitive impairment J Yang, H Sui, R Jiao, M Zhang, X Zhao, L Wang, W Deng, X Liu Current Alzheimer Research 19 (1), 76-83, 2022 | 10 | 2022 |
| Unplanned readmission prediction using an interactive augmented intelligent (iai) system M Zhang, G Avinash, Y Häme, A Faisal, K Leung, J Hersh US Patent App. 16/906,796, 2020 | 10 | 2020 |
| Medical machine synthetic data and corresponding event generation R Soni, M Zhang, GB Avinash, VR Saripalli, J Guan, P Dibyajyoti, Z Ma US Patent 11,984,201, 2024 | 9 | 2024 |
| Deep neural network based identification of realistic synthetic images generated using a generative adversarial network R Soni, M Zhang, Z Ma, GB Avinash US Patent 11,049,239, 2021 | 9 | 2021 |
Teresa WuProfessor, School of Computing and Augmented IntelligenceVerifisert e-postadresse på asu.edu