- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Multiple Sclerosis Research Studies
- Neurobiology of Language and Bilingualism
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- EEG and Brain-Computer Interfaces
- Peripheral Nerve Disorders
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Anomaly Detection Techniques and Applications
- Blood Pressure and Hypertension Studies
- Educational Reforms and Innovations
- Radiation Therapy and Dosimetry
- Pregnancy and Medication Impact
- Cerebral Palsy and Movement Disorders
- Neural dynamics and brain function
- Cardiovascular Issues in Pregnancy
- Lanthanide and Transition Metal Complexes
- Bioinformatics and Genomic Networks
- Glioma Diagnosis and Treatment
- Genetic Neurodegenerative Diseases
- Traumatic Brain Injury Research
- Pregnancy and preeclampsia studies
Capital Medical University
2019-2024
Brown University
2024
Johns Hopkins Medicine
2019-2022
Johns Hopkins University
2019-2022
Tianjin People's Hospital
2022
Xi’an Children’s Hospital
2022
City College of New York
2016-2021
The Graduate Center, CUNY
2016-2019
City University of New York
2015-2019
Over half of cancer patients receive radiotherapy (RT) as partial or full treatment. Daily quality assurance (QA) RT in treatment closely monitors the performance medical linear accelerator (Linac) and is critical for continuous improvement patient safety care. Cumulative longitudinal QA measurements are valuable understanding behavior Linac allow physicists to identify trends output take preventive actions. In this study, artificial neural networks (ANNs) autoregressive moving average...
We describe frontal language reorganization in a 50-60 year-old right-handed patient with low-grade left frontotemporal insular glioma. Pre-operative fMRI revealed robust activation the superior temporal gyrus (Wernicke Area, WA) and right inferior (right anatomical homolog of Broca BA). Intra-operative cortical stimulation adjacent cortices elicited no speech deficits, gross total resection including expected location BA resulted impairment. employed statistical inference methods to...
Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved specific cognitive processes. Brain impairments, such as tumors, suppress the fMRI activation of anatomical they invade and, thus, brain-damaged functional networks present missing links/areas activation. The identification circuitry components crucial importance estimate damage extent. study associated with tasks but performed by healthy individuals becomes, therefore,...
Data visualization technique was applied to analyze the daily QA results of photon and electron beams. Special attention paid any trend beams might display. A Varian Trilogy Linac equipped with dual energies five commissioned in early 2010. Daily tests including output constancy, beam flatness symmetry (radial transverse directions) were performed an ionization chamber array device (QA Beam Checker Plus, Standard Imaging). The data years collected analyzed. For each energy, measured exported...
Abstract Purpose A single treatment planning system (TPS) model for matched linacs provides flexible clinical workflows from patient to intensity‐modulated radiation therapy (IMRT) quality assurance (QA) measurement. Since general guidelines building a TPS and its validation are not well established, we present our RayStation photon modeling strategy Elekta VersaHD linacs. Method The four installed 2013 2020 were in terms of Percent Depth Dose (PDD), profile, output factor wedge factors...
Objective: The aims of this study were to evaluate the treatment adherence and main factors associated with for Chinese hypertensive patients between urban rural areas. Participants Methods: A total 529 328 from areas 201 hospitalized in a tertiary hospital Xi’an, China during period May 1 December 31, 2021 invited participate cross-sectional study. was assessed by “modified Hill-Bone compliance high blood pressure therapy scale”. Binary logistic regression analysis used analyze independent...
Background : Functional magnetic resonance imaging (fMRI) has been widely used to assess neural activity changes in gray matter (GM) patients with multiple sclerosis (MS); however, brain function alterations white (WM) relatively remain under-explored. Purpose This work aims identify the functional connectivity both WM and GM of MS using fMRI correlations between these cumulative disability as well lesion ratio. Materials Methods For this retrospective study, 37 clinically definite 43...
Bilingualism requires control of multiple language systems, and may lead to architectural differences in networks obtained from clinical fMRI tasks. Emerging connectivity metrics such as k-core capture these differences, highlighting crucial network components based on resiliency. We investigated the influence bilingualism tasks characterized bilingual using provide a patient care benchmark. Sixteen right-handed subjects (mean age 42-years; nine males) without neurological history were...
This study intends to track whole-brain functional connectivity strength (FCS) changes and the lateralization index (LI) in left basal ganglia (BG) ischemic stroke patients. Twenty-five patients (N = 25; aged 52.73 ± 10.51 years) with five visits at <7, 14, 30, 90, 180 days 26 healthy controls (HCs; N 26; 51.84 8.06 were examined resting-state magnetic resonance imaging (rs-fMRI) motor function testing. FCS LI calculated through constructing voxel-based brain network. One-way analysis of...
Appropriate dosing of radiation is crucial to patient safety in radiotherapy. Current quality assurance depends heavily on a physician peer-review process, which includes review the treatment plan's dose and fractionation. Potentially, physicians may not identify errors during this manual peer due time constraints caseload. A novel prescription anomaly detection algorithm designed that utilizes historical data from past predict anomalous cases. Such tool can serve as an electronic who will...
Intraoperative ultrasound(iUS) and intraoperative MRI (iMRI) are effective ways to perform resection control during glioma surgery. However, most published studies employed only one modality. Few have used both How combine these two techniques reasonably, what advantages they could for surgery still open questions.We retrospectively reviewed a series of consecutive patients who underwent initial surgical treatment supratentorial gliomas in our center. We utilized full-course strategy iUS...
Primate studies indicate that the pyramidal tract (PyT) could originate from Brodmann area (BA) 6. However, in humans, accurate origin of PyT BA 6 is still uncertain owing to difficulties visualizing anatomical features such as fanning shape at corona radiata and multiple crossings semioval centrum. High angular-resolution diffusion imaging (HARDI) reliably replicate these features. We explored human using HARDI. With HARDI data 30 adults Massachusetts General Hospital-Human Connectome...
Deep learning-based reconstruction may improve the image signal to noise ratio without impacting contrasts. Intravoxel incoherent motion (IVIM) often require multiple b values with averages that give rise prolonged scan time. In this work, deep learning is used reduce overall IVIM Based on qualitative and quantitative analysis, significantly results of make an abbreviated feasible.
To compare the signal alterations of amide proton transfer (APT), apparent diffusion coefficient (ADC), and fractional anisotropy (FA) in white matter (WM) lesions multiple sclerosis (MS), compared with healthy controls (HCs), to investigate relationships between these changes clinical measurements such as serum neurofilament light chain (sNfL).Twenty-nine patients relapsing-remitting MS (21 females 8 males) 30 HCs (23 7 were recruited. APT-weighted (APTw) tensor imaging (DTI) data acquired...
Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved specific cognitive processes. Brain impairments, such as tumors, suppress the fMRI activation of anatomical they invade and, thus, brain-damaged functional networks present missing links/areas activation. The identification circuitry components crucial importance estimate damage extent. study associated tasks but performed by healthy individuals becomes, therefore, paramount...
Pre-surgical language mapping with functional magnetic resonance imaging (fMRI) is routinely conducted to assist the neurosurgeon in preventing damage brain regions responsible for language. Functional differences exist between monolingual versus bilingual brain, whereas clinical fMRI tasks are typically a single The presence of secondary processing mechanisms potential source error inferred map. From data healthy and subjects we obtain maps as networks. Our results show sub-network "core"...
Appropriate dosing of radiation is crucial to patient safety in radiotherapy. Current quality assurance depends heavily on a peer-review process, where the physicians' peer review each patient's treatment plan, including dose and fractionation. However, such process manual laborious. Physicians may not identify errors due time constraints caseload. We designed novel prescription anomaly detection algorithm that utilizes historical data predict anomalous cases. Such tool can serve as an...