Jing Wu

发表

Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

R. Shlansky-Goldberg, Ken Chang, H. Bai, 2020, Journal of vascular and interventional radiology : JVIR.

Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography

M. Soulen, S. Horii, H. Bai, 2020, Abdominal Radiology.

Deep learning-based classification of primary bone tumors on radiographs: A preliminary study

Hui Liu, R. Sebro, S. Peng, 2020, EBioMedicine.

Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics

Alvin C. Silva, S. Stavropoulos, M. Soulen, 2021, Abdominal Radiology.

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm

Raymond Y Huang, Alvin C. Silva, S. Stavropoulos, 2020, Scientific reports.

CT Features of Hepatic Veno-occlusive Disease: A Meta-analysis.

Jing Wu, Song Yang, Si Lei, 2017, Academic radiology.

COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data

C. Lin, James Warren, I. Kamel, 2022, European Radiology.

Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography

H. Bai, Jing Wu, Paul J Zhang, 2020, Abdominal Radiology.

Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT

Li Yang, C. Azzoli, Z. Jiao, 2022, EBioMedicine.

Encephalopathy at admission predicts adverse outcomes in patients with SARS‐CoV‐2 infection

Raymond Y Huang, Sohil H. Patel, J. Boxerman, 2021, CNS neuroscience & therapeutics.

Chronic liver disease not a significant comorbid condition for COVID-19

N. Khurram, H. Bai, K. Halsey, 2021, Scientific Reports.

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data

Raymond Y Huang, R. Sebro, I. Kamel, 2022, npj Digital Medicine.

Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data.

Raymond Y Huang, Sohil H. Patel, P. Wen, 2020, Neuro-oncology.

Reduced expression of DNA repair genes and chemosensitivity in 1p19q codeleted lower-grade gliomas

Raymond Y Huang, James X. Sun, Ken Chang, 2018, Journal of Neuro-Oncology.

Comparison of Radiation Therapy Alone and Chemotherapy Alone for Low-Grade Gliomas without Surgical Resection.

Raymond Y Huang, Xuejun Li, H. Bai, 2019, World neurosurgery.

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

Yong Fan, Z. Jiao, Ken Chang, 2021, The Lancet Digital Health.

Comparison of chemoradiotherapy with radiotherapy alone for “biopsy only” anaplastic astrocytoma

Ya Cao, Xuejun Li, H. Bai, 2017, Oncotarget.

Clavicle pain

H. Bai, Jing Wu, Zishu Zhang, 2018, Skeletal Radiology.

Comparison of Adjuvant Radiation Therapy Alone and Chemotherapy Alone in Surgically Resected Low-Grade Gliomas: Survival Analyses of 2253 Cases from the National Cancer Data Base.

Raymond Y Huang, Xuejun Li, H. Bai, 2018, World neurosurgery.

Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging

Raymond Y Huang, I. Pan, Ken Chang, 2020, European Radiology.

Deep Learning for Classification of Bone Lesions on Routine MRI

R. Sebro, H. Bai, W. Liao, 2021, EBioMedicine.

Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.

A Comparison of Cryoablation with Heat-Based Thermal Ablation for Treatment of Clinical T1a Renal Cell Carcinoma: A National Cancer Database Study.

S. Stavropoulos, M. Soulen, S. Hunt, 2019, Journal of vascular and interventional radiology : JVIR.

Comparison of Radiofrequency Ablation and Hepatic Resection for the Treatment of Hepatocellular Carcinoma 2 cm or Less.

S. Hunt, H. Bai, Jing Wu, 2018, Journal of vascular and interventional radiology : JVIR.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Yong Fan, R. Sebro, Z. Jiao, 2021, Korean journal of radiology.

Sublobar resection compared with stereotactic body radiation therapy and ablation for early stage non-small cell lung cancer: A National Cancer Database study.

H. Bai, Jing Wu, Zishu Zhang, 2019, The Journal of thoracic and cardiovascular surgery.

Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging

Raymond Y Huang, I. Pan, Ken Chang, 2021, European Radiology.

Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

Raymond Y Huang, Jayashree Kalpathy-Cramer, P. Wen, 2021, Neuro-oncology.

A dynamic multi-modal fusion network for ovarian tumor differentiation

Y. Li, Z. Jiao, Yang Li, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Ablation Therapy for Advanced Stage Non-Small Cell Lung Cancer: A National Cancer Database Study.

B. Kimia, H. Bai, B. Hsieh, 2020, Journal of vascular and interventional radiology : JVIR.

Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography

H. Bai, Jing Wu, Paul J Zhang, 2021, Abdominal Radiology.

Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography

M. Soulen, S. Horii, H. Bai, 2020, Abdominal Radiology.

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization

C. Bettegowda, Z. Jiao, W. Liao, 2023, ArXiv.

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction.

W. Liao, Jing Wu, Rajat S. Chandra, 2024, Journal of imaging informatics in medicine.

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

Raymond Y Huang, Yong Fan, R. Sebro, 2021, European Radiology.

Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study.

Jing Wu, Biqi Cui, Harrison X. Bai, 2023, European journal of radiology.