 Connection
Harrison Bai to Positron Emission Tomography Computed Tomography
This is a "connection" page, showing publications Harrison Bai has written about Positron Emission Tomography Computed Tomography.
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Connection Strength |
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2.337 |
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Zhao L, Imami MR, Wang Y, Mao Y, Hsu WC, Chen R, Mena E, Li Y, Tang J, Wu J, Voter AF, Amindarolzarbi A, Kargilis D, Afyouni S, Gafita A, Chen J, Chin BB, Leal JP, Du Y, Lin G, Jiao Z, Choyke PL, Rowe SP, Pomper MG, Liao W, Bai HX. Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [18F]DCFPyL PSMA imaging. Radiother Oncol. 2026 01; 214:111265.
Score: 0.852
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Li Y, Imami MR, Zhao L, Amindarolzarbi A, Mena E, Leal J, Chen J, Gafita A, Voter AF, Li X, Du Y, Zhu C, Choyke PL, Zou B, Jiao Z, Rowe SP, Pomper MG, Bai HX. An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer. J Imaging Inform Med. 2024 Oct; 37(5):2206-2215.
Score: 0.764
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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: 0.676
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Zhao LM, Zhang H, Kim DD, Ghimire K, Hu R, Kargilis DC, Tang L, Meng S, Chen Q, Liao WH, Bai H, Jiao Z, Feng X. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout. Phys Med Biol. 2023 04 25; 68(9).
Score: 0.045
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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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