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IEEE Access : Practical Innovations, Open Solutions|July 3, 2019
A Novel Personalized Motion and Noise Artifact (MNA) Detection Method for Smartphone Photoplethysmograph (PPG) SignalsFatemehsadat Tabei, Rajnish Kumar, Tra Nguyen Phan, et al.
IEEE Access : Practical Innovations, Open Solutions|April 6, 2022
Deep Learning-Based Diagnosis of Peripheral Artery Disease via Continuous Property-Adversarial Regularization: Preliminary in Silico StudySooho Kim, Jin-Oh Hahn, Byeng Dong Youn
IEEE Access : Practical Innovations, Open Solutions|March 24, 2022
In Vivo Non-Thermal, Selective Cancer Treatment With High-Frequency Medium-Intensity Focused UltrasoundYongkui Tang, Leng-Ying Chen, Ailin Zhang, et al.
IEEE Access : Practical Innovations, Open Solutions|February 25, 2022
Wireless Coexistence of Cellular LBT Systems and BLE 5Siraj Muhammad, Mohamad Omar Al Kalaa, Hazem H Refai
IEEE Access : Practical Innovations, Open Solutions|February 25, 2022
Scale-Aware Transformers for Diagnosing Melanocytic LesionsWenjun Wu, Sachin Mehta, Shima Nofallah, et al.
IEEE Access : Practical Innovations, Open Solutions|February 25, 2022
A Whole-Body Musculoskeletal Model of the MouseShravan Tata Ramalingasetty, Simon M Danner, Jonathan Arreguit, et al.
IEEE Access : Practical Innovations, Open Solutions|August 6, 2020
Using Sequential Decision Making to Improve Lung Cancer Screening PerformancePanayiotis Petousis, Audrey Winter, William Speier, et al.
IEEE Access : Practical Innovations, Open Solutions|March 29, 2021
Fine-grained diabetic wound depth and granulation tissue amount assessment using bilinear convolutional neural networkXixuan Zhao, Ziyang Liu, Emmanuel Agu, et al.
IEEE Access : Practical Innovations, Open Solutions|March 29, 2021
Remote Physical Frailty Monitoring-The Application of Deep Learning-Based Image Processing in Tele-HealthMohsen Zahiri, Changhong Wang, Manuel Gardea, et al.
IEEE Access : Practical Innovations, Open Solutions|March 29, 2021
Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep LearningMengzhou Li, Zheng Fang, Wenxiang Cong, et al.
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