 Connection
Harrison Bai to Machine Learning
This is a "connection" page, showing publications Harrison Bai has written about Machine Learning.
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Connection Strength |
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2.671 |
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Dai Y, Imami M, Hu R, Zhang C, Zhao L, Kargilis DC, Zhang H, Yu G, Liao WH, Jiao Z, Zhu C, Yang L, Bai HX. Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning. J Imaging Inform Med. 2026 Apr; 39(2):1299-1310.
Score: 0.590
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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: 0.448
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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: 0.437
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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: 0.428
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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: 0.140
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Hsieh C, Laguna A, Ikeda I, Maxwell AWP, Chapiro J, Nadolski G, Jiao Z, Bai HX. Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma. Radiology. 2023 11; 309(2):e222891.
Score: 0.131
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Huang B, Sollee J, Luo YH, Reddy A, Zhong Z, Wu J, Mammarappallil J, Healey T, Cheng G, Azzoli C, Korogodsky D, Zhang P, Feng X, Li J, Yang L, Jiao Z, Bai HX. Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT. EBioMedicine. 2022 Aug; 82:104127.
Score: 0.120
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Li J, Liu J, Yue H, Cheng J, Kuang H, Bai H, Wang Y, Wang J. DARC: Deep adaptive regularized clustering for histopathological image classification. Med Image Anal. 2022 08; 80:102521.
Score: 0.120
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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: 0.119
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Thomasian NM, Kamel IR, Bai HX. Machine intelligence in non-invasive endocrine cancer diagnostics. Nat Rev Endocrinol. 2022 02; 18(2):81-95.
Score: 0.115
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Zhou H, Chang K, Bai HX, Xiao B, Su C, Bi WL, Zhang PJ, Senders JT, Vallières M, Kavouridis VK, Boaro A, Arnaout O, Yang L, Huang RY. Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas. J Neurooncol. 2019 Apr; 142(2):299-307.
Score: 0.024
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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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