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State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach.

, , , , , , , , , and . INTERSPEECH, page 2028-2032. ISCA, (2022)

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Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation., , , , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1170-1181 (2016)State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach., , , , , , , , , and . INTERSPEECH, page 2028-2032. ISCA, (2022)Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94141R. SPIE, (2015)Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation., , , , , and . CoRR, (2015)Anatomy-specific classification of medical images using deep convolutional nets., , , , , , , and . ISBI, page 101-104. IEEE, (2015)Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition., , , , , , , and . WACV, page 998-1007. IEEE Computer Society, (2017)Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression., , , , , , , , and . Medical Image Anal., 19 (1): 164-175 (2015)Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 9787 of SPIE Proceedings, page 97870N. SPIE, (2016)Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation., , , , , and . J. Mach. Learn. Res., (2016)Colitis detection on abdominal CT scans by rich feature hierarchies., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851N. SPIE, (2016)