Michelle Han
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View article: Phylogenomic Identification of a Highly Conserved Copper-Binding RiPP Biosynthetic Gene Cluster in Marine <i>Microbulbifer</i> Bacteria
Phylogenomic Identification of a Highly Conserved Copper-Binding RiPP Biosynthetic Gene Cluster in Marine <i>Microbulbifer</i> Bacteria Open
Conserved biosynthetic gene clusters (BGCs) are often tied to the production of natural products that perform critical functions in an organism's physiology and ecological interactions. Here, by phylogenetic analysis across the bacterial g…
View article: An international study presenting a federated learning AI platform for pediatric brain tumors
An international study presenting a federated learning AI platform for pediatric brain tumors Open
While multiple factors impact disease, artificial intelligence (AI) studies in medicine often use small, non-diverse patient cohorts due to data sharing and privacy issues. Federated learning (FL) has emerged as a solution, enabling traini…
View article: Early Onset Diffusion Abnormalities in Refractory Headache Disorders
Early Onset Diffusion Abnormalities in Refractory Headache Disorders Open
Objective This study sought to determine if individuals with medically refractory migraine headache have volume or diffusion abnormalities on neuroimaging compared to neurotypical individuals. Background Neuroimaging biomarkers in headache…
View article: MRI Radiogenomics of Pediatric Medulloblastoma: A Multicenter Study
MRI Radiogenomics of Pediatric Medulloblastoma: A Multicenter Study Open
Background Radiogenomics of pediatric medulloblastoma (MB) offers an opportunity for MB risk stratification, which may aid therapeutic decision making, family counseling, and selection of patient groups suitable for targeted genetic analys…
View article: Radiomics Can Distinguish Pediatric Supratentorial Embryonal Tumors, High-Grade Gliomas, and Ependymomas
Radiomics Can Distinguish Pediatric Supratentorial Embryonal Tumors, High-Grade Gliomas, and Ependymomas Open
In this multi-institutional study, we identified distinct radiomic phenotypes that distinguish pediatric supratentorial tumors, high-grade gliomas, and ependymomas with high accuracy. Incorporation of this technique in diagnostic algorithm…
View article: Deep learning for automatic segmentation and volumetric assessment of pediatric brain tumors: a multi-institutional study
Deep learning for automatic segmentation and volumetric assessment of pediatric brain tumors: a multi-institutional study Open
View article: Radiomic signatures of posterior fossa ependymoma: Molecular subgroups and risk profiles
Radiomic signatures of posterior fossa ependymoma: Molecular subgroups and risk profiles Open
Background The risk profile for posterior fossa ependymoma (EP) depends on surgical and molecular status [Group A (PFA) versus Group B (PFB)]. While subtotal tumor resection is known to confer worse prognosis, MRI-based EP risk-profiling i…
View article: Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study
Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study Open
BACKGROUND Clinicians and machine classifiers reliably diagnose pilocytic astrocytoma (PA) on magnetic resonance imaging (MRI) but less accurately distinguish medulloblastoma (MB) from ependymoma (EP). One strategy is to first rule out the…
View article: Radiomic Phenotypes Distinguish Atypical Teratoid/Rhabdoid Tumors from Medulloblastoma
Radiomic Phenotypes Distinguish Atypical Teratoid/Rhabdoid Tumors from Medulloblastoma Open
Six quantitative signatures of image intensity, texture, and morphology distinguish atypical teratoid/rhabdoid tumors from medulloblastomas with high prediction performance across different machine learning strategies. Use of this techniqu…
View article: Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT Open
The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep CO…
View article: MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study
MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international study Open
Background Diffuse intrinsic pontine gliomas (DIPGs) are lethal pediatric brain tumors. Presently, MRI is the mainstay of disease diagnosis and surveillance. We identify clinically significant computational features from MRI and create a p…
View article: Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus
Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus Open
OBJECTIVE Imaging evaluation of the cerebral ventricles is important for clinical decision-making in pediatric hydrocephalus. Although quantitative measurements of ventricular size, over time, can facilitate objective comparison, automated…
View article: IMG-22. A DEEP LEARNING MODEL FOR AUTOMATIC POSTERIOR FOSSA PEDIATRIC BRAIN TUMOR SEGMENTATION: A MULTI-INSTITUTIONAL STUDY
IMG-22. A DEEP LEARNING MODEL FOR AUTOMATIC POSTERIOR FOSSA PEDIATRIC BRAIN TUMOR SEGMENTATION: A MULTI-INSTITUTIONAL STUDY Open
BACKGROUND Brain tumors are the most common solid malignancies in childhood, many of which develop in the posterior fossa (PF). Manual tumor measurements are frequently required to optimize registration into surgical navigation systems or …
View article: IMG-10. MRI-BASED RADIOMIC PROGNOSTIC MARKERS OF DIFFUSE MIDLINE GLIOMA
IMG-10. MRI-BASED RADIOMIC PROGNOSTIC MARKERS OF DIFFUSE MIDLINE GLIOMA Open
BACKGROUND Diffuse midline gliomas (DMG) are lethal pediatric brain tumors with dismal prognoses. Presently, MRI is the mainstay of disease diagnosis and surveillance. We aimed to identify prognostic image-based radiomics markers of DMG an…
View article: IMG-13. MRI-BASED RADIOMICS PROGNOSTIC MARKERS OF POSTERIOR FOSSA EPENDYMOMA
IMG-13. MRI-BASED RADIOMICS PROGNOSTIC MARKERS OF POSTERIOR FOSSA EPENDYMOMA Open
PURPOSE Posterior fossa ependymomas (PFE) are common pediatric brain tumors often assessed with MRI before surgery. Advanced radiomic analysis show promise in stratifying risk and outcome in other pediatric brain tumors. Here, we extracted…
View article: Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study
Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study Open
We present a multi-institutional deep learning model for pediatric posterior fossa tumor detection and classification with the potential to augment and improve the accuracy of radiologic diagnosis.
View article: Adolescent with Acute Eosinophilic Pneumonia with Acute Respiratory Failure Associated with Multifactorial Inhalational Substance Use
Adolescent with Acute Eosinophilic Pneumonia with Acute Respiratory Failure Associated with Multifactorial Inhalational Substance Use Open
View article: Effectiveness, treatment durability, and treatment costs of canagliflozin and glucagon-like peptide-1 receptor agonists in patients with type 2 diabetes in the USA
Effectiveness, treatment durability, and treatment costs of canagliflozin and glucagon-like peptide-1 receptor agonists in patients with type 2 diabetes in the USA Open
Introduction This real-world study compared glycemic effectiveness, treatment durability, and treatment costs with canagliflozin 300 mg versus any dose of glucagon-like peptide-1 (GLP-1) receptor agonists in patients with type 2 diabetes m…
View article: Speech processing and plasticity in the right hemisphere predict variation in adult foreign language learning
Speech processing and plasticity in the right hemisphere predict variation in adult foreign language learning Open
Foreign language learning in adulthood often takes place in classrooms where learning outcomes vary widely among students, for both initial learning and long-term retention. Despite the fundamental role of speech perception in first langua…
View article: Late diagnosis of a rare urea cycle disorder mimicking Kleine-Levin syndrome
Late diagnosis of a rare urea cycle disorder mimicking Kleine-Levin syndrome Open
Kleine-Levin syndrome (KLS) is a rare disorder characterized by recurrent episodic hypersomnia, cognitive changes, and neuropsychiatric symptoms between months of interictal normality (table). Triggers include infection, sleep deprivation,…
View article: Impaired Frontal-Limbic White Matter Maturation in Children at Risk for Major Depression
Impaired Frontal-Limbic White Matter Maturation in Children at Risk for Major Depression Open
Depression is among the most common neuropsychiatric disorders. It remains unclear whether brain abnormalities associated with depression reflect the pathological state of the disease or neurobiological traits predisposing individuals to d…
View article: Shared Neuroanatomical Substrates of Impaired Phonological Working Memory Across Reading Disability and Autism
Shared Neuroanatomical Substrates of Impaired Phonological Working Memory Across Reading Disability and Autism Open
View article: Shared Neuroanatomical Substrates of Impaired Phonological Working Memory Across Reading Disability and Autism
Shared Neuroanatomical Substrates of Impaired Phonological Working Memory Across Reading Disability and Autism Open