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A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification.

, , , , , , , , , , , and . IEEE J. Biomed. Health Informatics, 28 (1): 31-41 (January 2024)

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Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study., , , , , , , , , and . Comput. Methods Programs Biomed., (2022)A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting., , , , , , , and . Expert Syst. Appl., (2022)STP: Self-supervised transfer learning based on transformer for noninvasive blood pressure estimation using photoplethysmography., , , , , , and . Expert Syst. Appl., (2024)MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer., , , , , , , , , and 2 other author(s). CoRR, (2021)A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification., , , , , , , , , and 2 other author(s). IEEE J. Biomed. Health Informatics, 28 (1): 31-41 (January 2024)MSHT: Multi-Stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer., , , , , , , , , and 2 other author(s). IEEE J. Biomed. Health Informatics, 27 (4): 1946-1957 (April 2023)KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography., , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (5): 2219-2230 (May 2023)Two-stage framework for automatic diagnosis of multi-task in essential tremor via multi-sensory fusion parameters., , , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (10 Part A): 8284-8296 (2022)Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings., , , , , , and . Comput. Biol. Medicine, (2021)UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation., , , , , , and . IEEE Trans. Artif. Intell., 5 (9): 4696-4707 (September 2024)