 Connection
Harrison Bai to Radiographic Image Interpretation, Computer-Assisted
This is a "connection" page, showing publications Harrison Bai has written about Radiographic Image Interpretation, Computer-Assisted.
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Connection Strength |
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0.419 |
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Zhong Z, Wang Y, Bi L, Ma Z, Ahn SH, Mullin CJ, Greineder CF, Atalay MK, Collins S, Baird GL, Lin CT, Stayman JW, Kolb TM, Kamel I, Bai HX, Jiao Z. Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Med Image Anal. 2026 01; 107(Pt A):103786.
Score: 0.213
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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: 0.159
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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: 0.047
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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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