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Nate Tran · SciRah

Researcher profile · Semantic Scholar

Nate Tran

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Nate Tran — researcher profile on SciRah

h-index: 4
Works: 31
Citations: 386

Most-cited papers

Photoplethysmography based atrial fibrillation detection: a review
Tânia Pereira, Nate Tran, Kais Gadhoumi, M. Pelter +5 more
2020npj Digital Medicine299 citations Open access
Semantic Scholar
Deep Learning approaches for Plethysmography Signal Quality Assessment in the Presence of Atrial Fibrillation
Tânia Pereira, Cheng Ding, Kais Gadhoumi, Nate Tran +3 more
2019Physiological Measurement47 citations Open access
Semantic Scholar
Intracranial pressure monitoring via external ventricular drain: are we waiting long enough before recording the real value?
Xiuyun Liu, M. Griffith, Hannah J. Jang, Nerissa U. Ko +6 more
2020Journal of Neuroscience Nursing25 citations Open access
Semantic Scholar
Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI
Nate Tran, Tracy L. Luks, Yan Li, A. Jakary +14 more
2025npj Digital Medicine11 citations Open access
Semantic Scholar
Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure
Xiuyun Liu, Kais Gadhoumi, Ran Xiao, Nate Tran +5 more
2019Physiological Measurement3 citations Open access
Semantic Scholar
IMG-130. Integrating AI-based models from physiologic MRI with MR spectra for differentiating treatment-effect from glioma tumor recurrence
Irvane Ngnie Kamga, Jacob Ellison, Nate Tran, Joanna Phillips +13 more
2025Neuro-Oncology1 citations
Semantic Scholar
RADT-26. IMPROVING RADIATION TARGET VOLUME DEFINITION FOR GLIOBLASTOMA USING PREDICTIONS OF TUMOR RECURRENCE FROM MACHINE LEARNING AND PRE-RADIOTHERAPY ADVANCED MRI
Nate Tran, Tracy L. Luks, Jacob Ellison, Devika Nair +12 more
2023Neuro-Oncology1 citations Open access
Semantic Scholar
Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning
Jacob Ellison, Nate Tran, Tracy L. Luks, Paramjot Singh +15 more
2026npj Digital Medicine0 citations Open access
Semantic Scholar
IMG-134. AI-based multimodal integration of clinical features with white matter infiltration maps for personalized RT planning of glioblastoma
Hui Lin, Bo Liu, Nate Tran, A. Jakary +6 more
2025Neuro-Oncology0 citations
Semantic Scholar
IMG-120. A Vision Transformer-Based Approach to Predict Glioblastoma Recurrence from Metabolic and Diffusion MRI for Personalizing Radiation Planning
Harshita Kukreja, Nate Tran, Bo Liu, Jacob Ellison +15 more
2025Neuro-Oncology0 citations
Semantic Scholar
NIMG-74. A NOVEL APPROACH FOR PERSONALIZED RADIOTHERAPY TARGET VOLUME DEFINITION USING METABOLIC MRI AND DEEP LEARNING-DRIVEN PREDICTIONS OF GLIOBLASTOMA RECURRENCE
Nate Tran, Tracy L. Luks, Jacob Ellison, Yan Li +11 more
2024Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-81. PREDICTING TUMOR PROGRESSION WITH FIBER DENSITY-WEIGHTED WHITE MATTER PATHLENGTH MAPS IN PATIENTS WITH GLIOBLASTOMA
Bo Liu, Tiffany Ngan, A. Jakary, Nate Tran +5 more
2024Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-76. INCORPORATING IMAGING FEATURES OF NORMAL BRAIN TO ENHANCE SPATIALLY DIFFERENTIATING TREATMENT-INDUCED EFFECTS FROM RECURRENT GLIOMA WITH AI
Jacob Ellison, Tiffany Ngan, A. Jakary, Nate Tran +12 more
2024Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-22. COMPARISON OF NON-INVASIVE, ML-GENERATED WHOLE-BRAIN SPATIAL RADIOPATHOMIC MAPS DERIVED FROM ANATOMICAL AND DIFFUSION-WEIGHTED MRI ON PATIENTS WITH NEWLY DIAGNOSED-GLIOMA
O. Adegbite, Nate Tran, A. Molinaro, Joanna Phillips +14 more
2023Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-61. IMPROVED GENERALIZABILITY OF RADIOPATHOMIC PROBABILISTIC MAPPING OF TREATMENT-INDUCED EFFECTS WITH PHYSIOLOGIC MR IMAGING AND DEEP LEARNING IN PATIENTS WITH RECURRENT GLIOBLASTOMA
Jacob Ellison, Nate Tran, A. Molinaro, Valentina Pedoia +12 more
2022Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-65. IMPROVED SPATIAL MAPPING OF TUMOR AGGRESSIVENESS WITH 1H MAGNETIC RESONANCE SPECTROSCOPY AND DEEP LEARNING IN PATIENTS WITH NEWLY-DIAGNOSED GLIOMA
Nate Tran, Yan Li, Jacob Ellison, O. Adegbite +13 more
2022Neuro-Oncology0 citations Open access
Semantic Scholar
NIMG-46. TOWARDS PREDICTING TUMOR AGGRESSIVENESS WITH RADIOPATHOMIC ANALYSIS OF MULTI-PARAMETRIC ANATOMICAL, DIFFUSION-WEIGHTED, AND METABOLIC MRI IN PATIENTS WITH NEWLY-DIAGNOSED GLIOMAS
O. Adegbite, Nate Tran, A. Molinaro, J. Phillips +11 more
2022Neuro-Oncology0 citations Open access
Semantic Scholar
Abstract WMP26: Using Machine Learning Pattern Recognition in Aneurysmal Subarachnoid Hemorrhage Patients to Determine Patterns in Central versus Infectious Fever
Judy H. Ch'ang, Nate Tran, Catherine DeVoe, Xiao Hu
2019Stroke0 citations
Semantic Scholar
Pre-RT Fiber Density-Weighted White Matter Pathlength Maps Can Predict Tumor Progression in Patients with Glioblastoma Multiforme
Bo Liu, Nate Tran, Paul Rowley, A. Jakary +5 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Towards predicting tumor pathology with radiopathomic analysis of multi-parametric MRI in patients with newly-diagnosed gliomas
O. Adegbite, Nate Tran, Annette M. Molinaro, Joanna Phillips +11 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Defining Radiation Target Volumes with AI-Driven Predictions of Glioma Recurrence from MRSI, Diffusion MRI, and Transformers
Harshita Kukreja, Nate Tran, Bo Liu, Jacob Ellison +10 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Self-supervised pretraining and network ensembling for spatial mapping of treatment-effect in recurrent GBM with physiologic MRI
Jacob Ellison, Nate Tran, R. Hanna, J. Cluceru +12 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Tissue-level probabilistic mapping of treatment-induced effects in recurrent glioblastoma
Jacob Ellison, Nate Tran, J. Cluceru, J. Phillips +11 more
ISMRM Annual Meeting0 citations
Semantic Scholar
1H-MRS and machine learning for predicting voxel-wise histopathology of tumor cells in newly-diagnosed glioma patients
Nate Tran, Jacob Ellison, O. Adegbite, James Golden +12 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Semi-supervised learning for non-invasive radiopathomic mapping of treatment naïve glioma with multi-parametric MRI
Jacob Ellison, Nate Tran, Paramjot Singh, O. Adegbite +12 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Integrating AI-based models from physiologic MRI with MR spectra for differentiating treatment-effect from glioma tumor recurrence
Irvane Ngnie Kamga, Jacob Ellison, Nate Tran, Joanna J. Philips +11 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Integrating Bio-Clinical Features with White Matter Infiltration for Personalized RT Planning in Glioblastoma with Transformer Model
Bo Liu, Nate Tran, A. Jakary, Tiffany Ngan +4 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Automated MRS quality control across diverse acquisitions and neurological diseases using self-supervised transformers
Jenny Lee, Sana Vaziri, Nate Tran, Duan Xu +2 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Longitudinal voxel-wise analysis using a novel deep-learning-derived KI-67 map for early prediction of glioblastoma outcome
Nate Tran, Tracy L. Luks, Jacob Ellison, Yan Li +13 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Defining radiation target volumes for glioblastoma from predictions of tumor recurrence with AI and diffusion & metabolic MRI
Nate Tran, Jacob Ellison, Tracy L. Luks, Yan Li +12 more
ISMRM Annual Meeting0 citations
Semantic Scholar
Spatial mapping of treatment-induced effects with multi-parametric MRI correlate with survival in patients with recurrent GBM
Jacob Ellison, Nate Tran, Tracy L. Luks, A. Jakary +12 more
ISMRM Annual Meeting0 citations
Semantic Scholar

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