| Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and … G Bathla, S Priya, Y Liu, C Ward, NH Le, N Soni, RP Maheshwarappa, ... European radiology 31 (11), 8703-8713, 2021 | 38 | 2021 |
| Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics S Priya, Y Liu, C Ward, NH Le, N Soni, R Pillenahalli Maheshwarappa, ... Scientific reports 11 (1), 10478, 2021 | 32 | 2021 |
| Radiomic based machine learning performance for a three class problem in neuro-oncology: time to test the waters? S Priya, Y Liu, C Ward, NH Le, N Soni, R Pillenahalli Maheshwarappa, ... Cancers 13 (11), 2568, 2021 | 18 | 2021 |
| Accelerating genset reconstruction for sparsely sampled DCE-MRI with GPU SB Dinh, NH Le, HM Nguyen 2018 IEEE International Symposium on Signal Processing and Information …, 2018 | 5 | 2018 |
| AI-based classification of three common malignant tumors in neuro-oncology: A multi-institutional comparison of machine learning and deep learning methods G Bathla, DD Dhruba, N Soni, Y Liu, NB Larson, BA Kassmeyer, S Mohan, ... Journal of neuroradiology 51 (3), 258-264, 2024 | 4 | 2024 |
| Comparison analysis of ICA versus MCA-KSVD blind source separation on task-related fMRI data NH Le, KN Nguyen, HM Nguyen 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 2 | 2017 |
| Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation G Bathla, DD Dhruba, Y Liu, NH Le, N Soni, H Zhang, S Mohan, ... Academic radiology, 2023 | 1 | 2023 |
| Semi-automated intracranial aneurysm segmentation and neck detection NH Le, EA Samaniego, A Raghuram, S Sanchez, H Zhang, M Sonka Medical Imaging 2022: Image Processing 12032, 850-855, 2022 | 1 | 2022 |
| Radiomics-based differentiation between glioblastoma, CNS lymphoma, and brain metastases: comparing performance across MRI sequences and machine learning models S Priya, Y Liu, C Ward, NH Le, N Soni, RP Maheshwarappa, V Monga, ... Cancers 13 (9), 2261, 2021 | 1 | 2021 |
| Advancements in Machine Learning for Cerebral Aneurysm Detection: Progress at a Steady Pace NH Le, EA Samaniego Stroke: vascular and interventional neurology 3 (6), e001122, 2023 | | 2023 |
| A Quantum Optimization Method for Geometric Constrained Image Segmentation NH Le, M Sonka, F Toor arXiv preprint arXiv:2310.20154, 2023 | | 2023 |
| LOGISMOS-JEI: Segmentation of Vessel Walls Associated with Brain Aneurysms NH Le, H Zhang, D Hasan, G Bathla, E Samaniego, C Derdeyn, M Sonka | | |
Milan SonkaUniversity of IowaVerified email at uiowa.edu
