Connection
Harrison Bai to Retrospective Studies
This is a "connection" page, showing publications Harrison Bai has written about Retrospective Studies.
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Connection Strength |
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0.886 |
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Wang Y, Shi V, Hsu WC, Dai Y, Yao S, Zhong Z, Zhang Z, Wu J, Maxwell A, Collins S, Jiao Z, Bai HX. Optimizing prompt strategies for SAM: advancing lesion segmentation across diverse medical imaging modalities. Phys Med Biol. 2025 Aug 29; 70(17).
Score: 0.063
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Meng S, Tran TML, Hu M, Wang P, Yi T, Zhong Z, Wang L, Vogt B, Jiao Z, Barman A, Cetintemel U, Chang K, Nguyen DT, Hui FK, Pan I, Xiao B, Yang L, Zhou H, Bai HX. End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study. J Stroke Cerebrovasc Dis. 2022 Nov; 31(11):106753.
Score: 0.051
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Hu R, Li H, Horng H, Thomasian NM, Jiao Z, Zhu C, Zou B, Bai HX. Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI. Sci Rep. 2022 05 13; 12(1):7924.
Score: 0.050
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Li D, Hu R, Li H, Cai Y, Zhang PJ, Wu J, Zhu C, Bai HX. Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography. Abdom Radiol (NY). 2021 11; 46(11):5316-5324.
Score: 0.047
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Wang R, Jiao Z, Yang L, Choi JW, Xiong Z, Halsey K, Tran TML, Pan I, Collins SA, Feng X, Wu J, Chang K, Shi LB, Yang S, Yu QZ, Liu J, Fu FX, Jiang XL, Wang DC, Zhu LP, Yi XP, Healey TT, Zeng QH, Liu T, Hu PF, Huang RY, Li YH, Sebro RA, Zhang PJL, Wang J, Atalay MK, Liao WH, Fan Y, Bai HX. Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data. Eur Radiol. 2022 Jan; 32(1):205-212.
Score: 0.047
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Jiao Z, Choi JW, Halsey K, Tran TML, Hsieh B, Wang D, Eweje F, Wang R, Chang K, Wu J, Collins SA, Yi TY, Delworth AT, Liu T, Healey TT, Lu S, Wang J, Feng X, Atalay MK, Yang L, Feldman M, Zhang PJL, Liao WH, Fan Y, Bai HX. Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study. Lancet Digit Health. 2021 05; 3(5):e286-e294.
Score: 0.046
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Purkayastha S, Xiao Y, Jiao Z, Thepumnoeysuk R, Halsey K, Wu J, Tran TML, Hsieh B, Choi JW, Wang D, Vallières M, Wang R, Collins S, Feng X, Feldman M, Zhang PJ, Atalay M, Sebro R, Yang L, Fan Y, Liao WH, Bai HX. Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data. Korean J Radiol. 2021 07; 22(7):1213-1224.
Score: 0.046
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Choi JW, Hu R, Zhao Y, Purkayastha S, Wu J, McGirr AJ, Stavropoulos SW, Silva AC, Soulen MC, Palmer MB, Zhang PJL, Zhu C, Ahn SH, Bai HX. Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics. Abdom Radiol (NY). 2021 06; 46(6):2656-2664.
Score: 0.046
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Purkayastha S, Zhao Y, Wu J, Hu R, McGirr A, Singh S, Chang K, Huang RY, Zhang PJ, Silva A, Soulen MC, Stavropoulos SW, Zhang Z, Bai HX. Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm. Sci Rep. 2020 11 11; 10(1):19503.
Score: 0.045
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Halsey K, Wu J, Su C, Hsieh B, Yi T, Collins SA, Kimia B, Zhang PJ, Healey T, Zhang Z, Bai HX. Ablation Therapy for Advanced Stage Non-Small Cell Lung Cancer: A National Cancer Database Study. J Vasc Interv Radiol. 2020 Aug; 31(8):1210-1215.e4.
Score: 0.044
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Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020 09; 296(3):E156-E165.
Score: 0.043
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Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie FF, Li S, Healey T, Atalay MK, Liao WH. Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology. 2020 08; 296(2):E46-E54.
Score: 0.043
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Zhong Z, Zhang H, Fayad FH, Lancaster AC, Sollee J, Kulkarni S, Lin CT, Li J, Gao X, Collins S, Greineder CF, Ahn SH, Bai HX, Jiao Z, Atalay MK. Pulmonary Embolism Survival Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. J Thorac Imaging. 2025 Sep 01; 40(5).
Score: 0.016
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Yang F, Hu R, Hu J, Zhao L, Zhang Y, Mao Y, Tang J, Li S, He J, Chen R, Guo J, Zhang W, Zhu L, Jiao X, Liu S, Luo G, Zhou H, Fang X, Zheng H, Li L, Han Z, Jiao Z, Bai HX, Li J, Liao W. Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis. Eur Radiol. 2025 Sep; 35(9):5239-5251.
Score: 0.015
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Leary OP, Zhong Z, Bi L, Jiao Z, Dai YW, Ma K, Sayied S, Kargilis D, Imami M, Zhao LM, Feng X, Riccardello G, Collins S, Svokos K, Moghekar A, Yang L, Bai H, Klinge PM, Boxerman JL. MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm. AJNR Am J Neuroradiol. 2024 10 03; 45(10):1536-1544.
Score: 0.015
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Li Y, Zhuo Z, Weng J, Haller S, Bai HX, Li B, Liu X, Zhu M, Wang Z, Li J, Qiu X, Liu Y. A deep learning model for differentiating paediatric intracranial germ cell tumour subtypes and predicting survival with MRI: a multicentre prospective study. BMC Med. 2024 09 11; 22(1):375.
Score: 0.015
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Cheng D, Zhuo Z, Du J, Weng J, Zhang C, Duan Y, Sun T, Wu M, Guo M, Hua T, Jin Y, Peng B, Li Z, Zhu M, Imami M, Bettegowda C, Sair H, Bai HX, Barkhof F, Liu X, Liu Y. A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted Images. Clin Cancer Res. 2024 01 05; 30(1):150-158.
Score: 0.014
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Lancaster AC, Cardin ME, Nguyen JA, Mehta TI, Oncel D, Bai HX, Cohen KA, Lin CT. Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease. J Thorac Imaging. 2024 May 01; 39(3):194-199.
Score: 0.014
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Zhou H, Bai HX, Jiao Z, Cui B, Wu J, Zheng H, Yang H, Liao W. Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study. Eur J Radiol. 2023 Nov; 168:111136.
Score: 0.014
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Yue H, Geng J, Gong L, Li Y, Windsor G, Liu J, Pu Y, Du Y, Wang R, Wu H, Jiao Z, Bai H, Jing B. Radiation hematologic toxicity prediction for locally advanced rectal cancer using dosimetric and radiomics features. Med Phys. 2023 Aug; 50(8):4993-5001.
Score: 0.013
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Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith JL, Yang L, Liao WH, Merck LH, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. J Digit Imaging. 2021 12; 34(6):1405-1413.
Score: 0.012
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Tang L, Liu S, Xiao Y, Tran TML, Choi JW, Wu J, Halsey K, Huang RY, Boxerman J, Patel SH, Kung D, Liu R, Feldman MD, Danoski DD, Liao WH, Kasner SE, Liu T, Xiao B, Zhang PJ, Reznik M, Bai HX, Yang L. Encephalopathy at admission predicts adverse outcomes in patients with SARS-CoV-2 infection. CNS Neurosci Ther. 2021 10; 27(10):1127-1135.
Score: 0.012
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Yi X, Liu H, Zhu L, Wang D, Xie F, Shi L, Mei J, Jiang X, Zeng Q, Hu P, Li Y, Pang P, Liu J, Peng W, Bai HX, Liao W, Chen BT. Myosteatosis predicting risk of transition to severe COVID-19 infection. Clin Nutr. 2022 12; 41(12):3007-3015.
Score: 0.012
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Eweje FR, Bao B, Wu J, Dalal D, Liao WH, He Y, Luo Y, Lu S, Zhang P, Peng X, Sebro R, Bai HX, States L. Deep Learning for Classification of Bone Lesions on Routine MRI. EBioMedicine. 2021 Jun; 68:103402.
Score: 0.012
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Kim M, Suh CH, Lee SM, Park JE, Kim HC, Kim SO, Aizer AA, Yanagihara TK, Bai HX, Guenette JP, Huang RY, Kim HS. Development of Brain Metastases in Patients With Non-Small Cell Lung Cancer and No Brain Metastases at Initial Staging Evaluation: Cumulative Incidence and Risk Factor Analysis. AJR Am J Roentgenol. 2021 11; 217(5):1184-1193.
Score: 0.012
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Peng J, Zhou H, Tang O, Chang K, Wang P, Zeng X, Shen Q, Wu J, Xiao Y, Patel SH, Hu C, Jin K, Xiao B, Boxerman J, Gao X, Wen PY, Bai HX, Huang RY, Yang L. Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data. Neuro Oncol. 2020 10 14; 22(10):1536-1544.
Score: 0.011
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Kim M, Suh CH, Lee SM, Kim HC, Aizer AA, Yanagihara TK, Bai HX, Guenette JP, Huang RY, Kim HS. Diagnostic Yield of Staging Brain MRI in Patients with Newly Diagnosed Non-Small Cell Lung Cancer. Radiology. 2020 11; 297(2):419-427.
Score: 0.011
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Luo YH, Xi IL, Wang R, Abdallah HO, Wu J, Vance AZ, Chang K, Kohi M, Jones L, Reddy S, Zhang ZS, Bai HX, Shlansky-Goldberg R. Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization. J Vasc Interv Radiol. 2020 Jun; 31(6):1010-1017.e3.
Score: 0.011
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Zhao Y, Chang M, Wang R, Xi IL, Chang K, Huang RY, Vallières M, Habibollahi P, Dagli MS, Palmer M, Zhang PJ, Silva AC, Yang L, Soulen MC, Zhang Z, Bai HX, Stavropoulos SW. Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma. J Magn Reson Imaging. 2020 11; 52(5):1542-1549.
Score: 0.011
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Shellikeri S, Bai H, Setser RM, Hurst RW, Cahill AM. Association of intracranial arteriovenous malformation embolization with more rapid rate of perfusion in the peri-nidal region on color-coded quantitative digital subtraction angiography. J Neurointerv Surg. 2020 Sep; 12(9):902-905.
Score: 0.011
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Xi IL, Zhao Y, Wang R, Chang M, Purkayastha S, Chang K, Huang RY, Silva AC, Vallières M, Habibollahi P, Fan Y, Zou B, Gade TP, Zhang PJ, Soulen MC, Zhang Z, Bai HX, Stavropoulos SW. Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging. Clin Cancer Res. 2020 04 15; 26(8):1944-1952.
Score: 0.011
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Wu J, Chang J, Bai HX, Su C, Zhang PJ, Karakousis G, Reddy S, Hunt S, Soulen MC, Stavropoulos SW, Zhang Z. A Comparison of Cryoablation with Heat-Based Thermal Ablation for Treatment of Clinical T1a Renal Cell Carcinoma: A National Cancer Database Study. J Vasc Interv Radiol. 2019 Jul; 30(7):1027-1033.e3.
Score: 0.010
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Huang Y, Shen Q, Bai HX, Wu J, Ma C, Shang Q, Hunt SJ, Karakousis G, Zhang PJ, Zhang Z. Comparison of Radiofrequency Ablation and Hepatic Resection for the Treatment of Hepatocellular Carcinoma 2 cm or Less. J Vasc Interv Radiol. 2018 09; 29(9):1218-1225.e2.
Score: 0.010
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Zou Y, Neale N, Sun J, Yang M, Bai HX, Tang L, Zhang Z, Landi A, Wang Y, Huang RY, Zhang PJ, Li X, Xiao B, Yang L. Prognostic Factors in Clival Chordomas: An Integrated Analysis of 347 Patients. World Neurosurg. 2018 Oct; 118:e375-e387.
Score: 0.010
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Zou Y, Sun J, Zhou Y, Bai HX, Huang X, Babu R, Landi A, Foong KS, Zhang Z, Woo JH, Tao Y, Li X, Tang X, Xiao B, Zhang PJ, Yang L. Prognostic Factors and Treatment of Spinal Astrocytomas: A Multi-institutional Cohort Analysis. Spine (Phila Pa 1976). 2018 05 15; 43(10):E565-E573.
Score: 0.009
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Su C, Nguyen KA, Bai HX, Zogg CK, Cao Y, Karakousis G, Zhang PJ, Zhang G, Xiao R. Ethnic disparity in primary cutaneous CD30+ T-cell lymphoproliferative disorders: an analysis of 1496 cases from the US National Cancer Database. Br J Haematol. 2018 06; 181(6):752-759.
Score: 0.009
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Chang K, Bai HX, Zhou H, Su C, Bi WL, Agbodza E, Kavouridis VK, Senders JT, Boaro A, Beers A, Zhang B, Capellini A, Liao W, Shen Q, Li X, Xiao B, Cryan J, Ramkissoon S, Ramkissoon L, Ligon K, Wen PY, Bindra RS, Woo J, Arnaout O, Gerstner ER, Zhang PJ, Rosen BR, Yang L, Huang RY, Kalpathy-Cramer J. Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res. 2018 03 01; 24(5):1073-1081.
Score: 0.009
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Su C, Nguyen KA, Bai HX, Cao Y, Tao Y, Xiao R, Karakousis G, Zhang PJ, Zhang G. Racial disparity in mycosis fungoides: An analysis of 4495 cases from the US National Cancer Database. J Am Acad Dermatol. 2017 Sep; 77(3):497-502.e2.
Score: 0.009
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Lee AM, Bai HX, Zou Y, Qiu D, Zhou J, Martinez-Lage Alvarez M, Zhang P, Tao Y, Tang X, Xiao B, Yang L. Safety and diagnostic value of brain biopsy in HIV patients: a case series and meta-analysis of 1209 patients. J Neurol Neurosurg Psychiatry. 2016 Jul; 87(7):722-33.
Score: 0.008
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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