 Connection
Harrison Bai to Algorithms
This is a "connection" page, showing publications Harrison Bai has written about Algorithms.
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Connection Strength |
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0.667 |
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Zhong Z, Li J, Kulkarni S, Zhang H, Fayad FH, Li Y, Collins S, Bai H, Ahn SH, Atalay MK, Gao X, Jiao Z. De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J Biomed Health Inform. 2024 06; 28(6):3732-3741.
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: 0.099
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Xi IL, Wu J, Guan J, Zhang PJ, Horii SC, Soulen MC, Zhang Z, Bai HX. Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography. Abdom Radiol (NY). 2021 02; 46(2):534-543.
Score: 0.094
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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: 0.088
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Chang K, Beers AL, Bai HX, Brown JM, Ly KI, Li X, Senders JT, Kavouridis VK, Boaro A, Su C, Bi WL, Rapalino O, Liao W, Shen Q, Zhou H, Xiao B, Wang Y, Zhang PJ, Pinho MC, Wen PY, Batchelor TT, Boxerman JL, Arnaout O, Rosen BR, Gerstner ER, Yang L, Huang RY, Kalpathy-Cramer J. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. 2019 11 04; 21(11):1412-1422.
Score: 0.086
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Chen J, Wei S, Honkamaa J, Marttinen P, Zhang H, Liu M, Zhou Y, Tan Z, Wang Z, Wang Y, Zhou H, Hu S, Zhang Y, Tao Q, Förner L, Wendler T, Jian B, Wiestler B, Hable T, Kim J, Ruan D, Madesta F, Sentker T, Heyer W, Zuo L, Dai Y, Wu J, Prince JL, Bai H, Du Y, Liu Y, Hering A, Dorent R, Hansen L, Heinrich MP, Carass A. Beyond the LUMIR challenge: The pathway to foundational registration models. Med Image Anal. 2026 Sep; 113:104175.
Score: 0.034
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Chen J, Wei S, Liu Y, Bian Z, He Y, Carass A, Bai H, Du Y. Unsupervised learning of spatially varying regularization for diffeomorphic image registration. Med Image Anal. 2026 02; 108:103887.
Score: 0.033
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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: 0.032
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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: 0.030
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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: 0.026
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Yue H, Liu J, Li J, Kuang H, Lang J, Cheng J, Peng L, Han Y, Bai H, Wang Y, Wang Q, Wang J. MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Med Image Anal. 2022 07; 79:102423.
Score: 0.026
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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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