User profiles for H.X. Bai

Harrison X. Bai

Assistant 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?

HX Bai, ME Lowe, SZ Husain - Journal of pediatric …, 2011 - journals.lww.com
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 …

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 …

Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT

HX Bai, B Hsieh, Z Xiong, K Halsey, JW Choi, TML Tran… - Radiology, 2020 - pubs.rsna.org
Radiologists had high specificity but moderate sensitivity in differentiating coronavirus
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 …

Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT

HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey… - Radiology, 2020 - pubs.rsna.org
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
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

K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza… - Clinical Cancer …, 2018 - AACR
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 …

MRI features predict survival and molecular markers in diffuse lower-grade gliomas

H Zhou, M Vallières, HX Bai, C Su, H Tang… - Neuro …, 2017 - academic.oup.com
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 …

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

…, PJL Zhang, WH Liao, Y Fan, HX Bai - The Lancet Digital …, 2021 - thelancet.com
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 …

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

K Chang, AL Beers, HX Bai, JM Brown, KI Ly… - Neuro …, 2019 - academic.oup.com
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 …

Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas

H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi… - Journal of neuro …, 2019 - Springer
Purpose Isocitrate dehydrogenase (IDH) and 1p19q codeletion status are importantin providing
prognostic information as well as prediction of treatment response in gliomas. Accurate …