User profiles for H.X. Bai
Harrison X. BaiAssistant Professor, Department of Radiology at the Johns Hopkins University School of … Verified email at jhu.edu Cited by 6565 |
What have we learned about acute pancreatitis in children?
Pediatric pancreatitis has received much attention during the past few years. Numerous reports
have identified an increasing trend in the diagnosis of acute pancreatitis in children and …
have identified an increasing trend in the diagnosis of acute pancreatitis in children and …
The association of primary hyperparathyroidism with pancreatitis
HX Bai, M Giefer, M Patel, AI Orabi… - Journal of clinical …, 2012 - journals.lww.com
The association between primary hyperparathyroidism (PHPT) and acute or chronic pancreatitis
is controversial. For this reason, we conducted a review of the literature over the past 30 …
is controversial. For this reason, we conducted a review of the literature over the past 30 …
Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT
Radiologists had high specificity but moderate sensitivity in differentiating coronavirus
disease 2019 (COVID-19) from non-COVID-19 viral pneumonia at chest CT.
disease 2019 (COVID-19) from non-COVID-19 viral pneumonia at chest CT.
Imaging genomics in cancer research: limitations and promises
HX Bai, AM Lee, L Yang, P Zhang… - The British journal of …, 2016 - academic.oup.com
Recently, radiogenomics or imaging genomics has emerged as a novel high-throughput
method of associating imaging features with genomic data. Radiogenomics has the potential to …
method of associating imaging features with genomic data. Radiogenomics has the potential to …
Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
similar CT characteristics, which contributes to the challenges in differentiating them with …
similar CT characteristics, which contributes to the challenges in differentiating them with …
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging
Purpose: Isocitrate dehydrogenase (IDH) mutations in glioma patients confer longer survival
and may guide treatment decision making. We aimed to predict the IDH status of gliomas …
and may guide treatment decision making. We aimed to predict the IDH status of gliomas …
MRI features predict survival and molecular markers in diffuse lower-grade gliomas
Background. Previous studies have shown that MR imaging features can be used to predict
survival and molecular profile of glioblastoma. However, no study of a similar type has been …
survival and molecular profile of glioblastoma. However, no study of a similar type has been …
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Background Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that
might be valuable in the prognostication of patients with COVID-19. We aimed to develop and …
might be valuable in the prognostication of patients with COVID-19. We aimed to develop and …
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
Background Longitudinal measurement of glioma burden with MRI is the basis for treatment
response assessment. In this study, we developed a deep learning algorithm that …
response assessment. In this study, we developed a deep learning algorithm that …
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
Purpose Isocitrate dehydrogenase (IDH) and 1p19q codeletion status are importantin providing
prognostic information as well as prediction of treatment response in gliomas. Accurate …
prognostic information as well as prediction of treatment response in gliomas. Accurate …