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Disambiguation of "Hsiao, Albert"

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Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.

, , , , , , , , , , , , , and . J. Digit. Imaging, 35 (3): 524-533 (2022)

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Chi-Yuan Hsiao

Lojen Hsiao

Kaijen Hsiao

Michael Kai Mikai Hsiao

He-Hsuan Hsiao

 

Other publications of authors with the same name

Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers., , , , , , , , , and 1 other author(s). IEEE Access, (2022)Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports., , , , , , , , , and 4 other author(s). J. Digit. Imaging, 35 (3): 524-533 (2022)Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytes., , , and . Bioinform., 20 (17): 3108-3127 (2004)Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers., , , , , and . J. Digital Imaging, 32 (5): 855-864 (2019)Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks., , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 109-116. Springer, (2017)VAMPIRE microarray suite: a web-based platform for the interpretation of gene expression data., , , and . Nucleic Acids Res., 33 (Web-Server-Issue): 627-632 (2005)Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features., , , , , and . IEEE Access, (2023)Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers., , , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 590-604. PMLR, (2022)Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising., , , , , , and . ISBI, page 1186-1189. IEEE, (2013)Expert-Informed, User-Centric Explanations for Machine Learning., , , , and . AAAI, page 12280-12286. AAAI Press, (2022)