| Artificial intelligence analysis of magnetic particle imaging for islet transplantation in a mouse model H Hayat, A Sun, H Hayat, S Liu, N Talebloo, C Pinger, JO Bishop, M Gudi, ... Molecular imaging and biology 23, 18-29, 2021 | 29 | 2021 |
| 3D in vivo Magnetic Particle Imaging of Human Stem Cell-Derived Islet Organoid Transplantation Using a Machine Learning Algorithm A Sun, H Hayat, S Liu, E Tull, JO Bishop, BF Dwan, M Gudi, N Talebloo, ... Frontiers in Cell and Developmental Biology 9, 704483, 2021 | 28 | 2021 |
| A concise review: the role of stem cells in cancer progression and therapy H Hayat, H Hayat, BF Dwan, M Gudi, JO Bishop, P Wang OncoTargets and therapy, 2761-2772, 2021 | 22 | 2021 |
| Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning D Tak, Z Ye, A Zapaischykova, Y Zha, A Boyd, S Vajapeyam, R Chopra, ... Radiology: Artificial Intelligence 6 (3), e230333, 2024 | 20 | 2024 |
| A concise review: the synergy between artificial intelligence and biomedical nanomaterials that empowers nanomedicine H Hayat, A Nukala, A Nyamira, J Fan, P Wang Biomedical Materials 16 (5), 052001, 2021 | 16 | 2021 |
| Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning A Boyd, Z Ye, S Prabhu, MC Tjong, Y Zha, A Zapaishchykova, ... medRxiv, 2023 | 14 | 2023 |
| Nanotechnology in immunotherapy for type 1 diabetes: promising innovations and future advances S Nigam, JO Bishop, H Hayat, T Quadri, H Hayat, P Wang Pharmaceutics 14 (3), 644, 2022 | 13 | 2022 |
| Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer H Zhao, H Hayat, X Ma, D Fan, P Wang, A Moore Scientific Reports 10 (1), 14942, 2020 | 11 | 2020 |
| Current progress and perspective: clinical imaging of islet transplantation TM Richards, A Sun, H Hayat, N Robertson, Z Zhang, J Fan, P Wang Life 10 (9), 213, 2020 | 8 | 2020 |
| Automated temporalis muscle quantification and growth charts for children through adulthood A Zapaishchykova, KX Liu, A Saraf, Z Ye, PJ Catalano, V Benitez, ... Nature Communications 14 (1), 6863, 2023 | 4 | 2023 |
| The application of artificial intelloigence in biomedical imaging H Hayat, P Wang Am. J. Biomed. Sci. Res 8, 228-231, 2020 | 4 | 2020 |
| Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring H Hayat, R Wang, A Sun, CL Mallett, S Nigam, N Redman, D Bunn, ... Iscience 26 (7), 2023 | 3 | 2023 |
| Stepwise transfer learning for expert-level pediatric brain tumor MRI segmentation in a limited data scenario A Boyd, Z Ye, SP Prabhu, MC Tjong, Y Zha, A Zapaishchykova, ... Radiology: Artificial Intelligence 6 (4), e230254, 2024 | 2 | 2024 |
| Lgg-05. Imaging-based deep learning for event-free survival prediction in patients with pediatric low-grade glioma A Zapaishchykova, H Hayat, Z Ye, S Vajapeyam, RB Chopra, A Boyd, ... Neuro-Oncology 25 (Supplement_1), i56-i56, 2023 | 2 | 2023 |
| Tantalum oxide nanoparticles as versatile and high-resolution X-ray contrast agent for intraductal image-guided ablative procedure in rodent models of breast cancer EK Zaluzec, E Kenyon, M Volk, H Hayat, K Powell, A Loomis, ... npj Imaging 2 (1), 3, 2024 | 1 | 2024 |
| Magnetic particle imaging of transplanted human islets using a machine learning algorithm A Sun, H Hayat, SW Sanchez, A Moore, P Wang Type-1 Diabetes: Methods and Protocols, 185-194, 2022 | 1 | 2022 |
| Automated segmentation and quantification of simultaneous PET/MRI for monitoring cell transplantation with deep learning P Wang, H Hayat, R Wang, A Sun, CL Mallett, S Nigam, N Redman, ... iScience, 2023 | | 2023 |
| Nanotechnology in Immunotherapy for Type 1 Diabetes: Promising Innovations and Future Advances. Pharmaceutics 2022, 14, 644 S Nigam, JO Bishop, H Hayat, T Quadri, H Hayat, P Wang s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
