HarrisonXiaoBaiMD

PubMed

• Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction.
  Daniel D Kim, Rajat S Chandra, Li Yang, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig Jones, Haris Sair, Wei-Hua Liao, Chengzhang Zhu, Beiji Zou, Anahita...> ;Journal of Imaging Informatics in Medicine. 2024 Mar 21
• Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization.
  Mishal Mendiratta-Lala, Anum Aslam, Harrison X Bai, Julius Chapiro, Thiery De Baere, Shiro Miyayama, Victoria Chernyak, Osamu Matsui, Valerie Vilgrain, Nicholas Fidelman> ;European Radiology. 2023 Nov 6
• A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted Images.
  Dan Cheng, Zhizheng Zhuo, Jiang Du, Jinyuan Weng, Chengzhou Zhang, Yunyun Duan, Ting Sun, Minghao Wu, Min Guo, Tiantian Hua, Ying Jin, Boyang Peng, Zhaohui Li, Mingwan...> ;Clinical Cancer Research. 2024 Jan 5
• 1 citations
  Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma.
  Celina Hsieh, Amanda Laguna, Ian Ikeda, Aaron W P Maxwell, Julius Chapiro, Gregory Nadolski, Zhicheng Jiao, Harrison X Bai> ;Radiology. 2023 Nov 1
• Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study.
  Hao Zhou, Harrison X Bai, Zhicheng Jiao, Biqi Cui, Jing Wu, Haijun Zheng, Huan Yang, Weihua Liao> ;European Journal of Radiology. 2023 Nov 1
• 3 citations
  Beyond antioxidation: Harnessing the CeOnanoparticles as a renoprotective contrast agent for in vivo spectral CT angiography.
  Cai Feng, Zongling Xiong, Xianting Sun, Hao Zhou, Tianming Wang, Ying Wang, Harrison X Bai, Peng Lei, Weihua Liao> ;Biomaterials. 2023 Aug 1
• 2 citations
  Artificial intelligence and body composition.
  Prasanna Santhanam, Tanmay Nath, Cheng Peng, Harrison Bai, Helen Zhang, Rexford S Ahima, Rama Chellappa> ;Diabetes & Metabolic Syndrome. 2023 Mar 1
• Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors.
  Ziyan Chen, Helen Zhang, Paul J Z Zhang, Harrison X Bai, Xuejun Li> ;Frontiers in Oncology. 2023 Jan 1
• 1 citations
  End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study.
  Shujuan Meng, Thi My Linh Tran, Mingzhe Hu, PanPan Wang, Thomas Yi, Zhusi Zhong, Luoyun Wang, Braden Vogt, Zhicheng Jiao, Arko Barman, Ugur Cetintemel, Ken Chang, Dat-...> ;Journal of Stroke and Cerebrovascular Diseases. 2022 Nov 1
• 18 citations
  Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT.
  Brian Huang, John Sollee, Yong-Heng Luo, Ashwin Reddy, Zhusi Zhong, Jing Wu, Joseph Mammarappallil, Terrance Healey, Gang Cheng, Christopher Azzoli, Dana Korogodsky, P...> ;Ebiomedicine. 2022 Aug 1
• 3 citations
  Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside.
  Julius Chapiro, Bibb Allen, Aaron Abajian, Bradford Wood, Nishita Kothary, Dania Daye, Harrison Bai, Art Sedrakyan, Matthew Diamond, Vahan Simonyan, Gordon McLennan, N...> ;Journal of Vascular and Interventional Radiology. 2022 Sep 1
• Correction to: COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.
  Iheanacho, F., Jianhong Cheng, John Sollee, Celina Hsieh, Hailin Yue, Nicholas Vandal, Justin Shanahan, Ji Whae Choi, Thi My Linh Tran, Kasey Halsey, Franklin Iheanach...> ;European Radiology. 2022 Jul 1
• 12 citations
  COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.
  Iheanacho, F., Jianhong Cheng, John Sollee, Celina Hsieh, Hailin Yue, Nicholas Vandal, Justin Shanahan, Ji Whae Choi, Thi My Linh Tran, Kasey Halsey, Franklin Iheanach...> ;European Radiology. 2022 Jul 1
• 10 citations
  Discriminative error prediction network for semi-supervised colon gland segmentation.
  Zhenxi Zhang, Chunna Tian, Harrison X Bai, Zhicheng Jiao, Xilan Tian> ;Medical Image Analysis. 2022 Jul 1
• 4 citations
  Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI.
  Rong Hu, Huizhou Li, Hannah Horng, Nicole M Thomasian, Zhicheng Jiao, Chengzhang Zhu, Beiji Zou, Harrison X Bai> ;Scientific Reports. 2022 May 13
• 5 citations
  Artificial intelligence for medical image analysis in epilepsy.
  John Sollee, Lei Tang, Aime Bienfait Igiraneza, Bo Xiao, Harrison X Bai, Li Yang> ;Epilepsy Research. 2022 May 1
• 12 citations
  An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
  Chris K Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y Yi, Kasey C Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Cel...> ;NPJ Digital Medicine. 2022 Jan 14
• 3 citations
  Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence.
  Feyisope R Eweje, Suzie Byun, Rajat Chandra, Fengling Hu, Ihab Kamel, Paul Zhang, Zhicheng Jiao, Harrison X Bai> ;JAMA Network Open. 2022 Jan 4
• 13 citations
  Machine intelligence in non-invasive endocrine cancer diagnostics
  Nicole M. Thomasian, Ihab R. Kamel, Harrison X Bai> ;Nature Reviews. Endocrinology. 2021 Nov 9
• 5 citations
  DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications.
  Thomas Yi, Ian Pan, Scott Collins, Fiona Chen, Robert Cueto, Ben Hsieh, Celina Hsieh, Jessica L Smith, Li Yang, Weihua Liao, Lisa H. Merck, Harrison X. Bai, Derek Merck> ;Journal of Digital Imaging. 2021 Nov 2
• 6 citations
  Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.
  Jian Peng, Daniel D Kim, Jay B Patel, Xiaowei Zeng, Jiaer Huang, Ken Chang, Xinping Xun, Chen Zhang, John Sollee, Jing Wu, Deepa J Dalal, Xue Feng, Hao Zhou, Chengzhan...> ;Neuro-Oncology. 2021 Dec 1
• 2 citations
  Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography
  Dan Li, Rong Hu, Huizhou Li, Yeyu Cai, Paul J. Zhang, Jing Wu, Chengzhang Zhu, Harrison X. Bai> ;Abdominal Radiology. 2021 Jul 21
• 25 citations
  Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data.
  Robin Wang, Zhicheng Jiao, Li Yang, Ji Whae Choi, Zeng Xiong, Kasey Halsey, Thi My Linh Tran, Ian Pan, Scott Collins, Xue Feng, Jing Wu, Ken Chang, Lin-Bo Shi, Shuai Y...> ;European Radiology. 2021 Jul 5
• 20 citations
  Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.
  Jian Peng, Daniel D Kim, Jay B Patel, Xiaowei Zeng, Jiaer Huang, Ken Chang, Xinping Xun, Chen Zhang, John Sollee, Jing Wu, Deepa J Dalal, Xue Feng, Hao Zhou, Chengzhan...> ;Neuro-Oncology. 2022 Feb 1
• 2 citations
  Encephalopathy at admission predicts adverse outcomes in patients with SARS-CoV-2 infection.
  Lei Tang, Shixin Liu, Yanhe Xiao, Thi My Linh Tran, Ji Whae Choi, Jing Wu, Kasey Halsey, Raymond Y. Huang, Jerrold L. Boxerman, Sohil H. Patel, David Kung, Renyu Liu, ...> ;CNS Neuroscience & Therapeutics. 2021 Jun 16
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