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Breast Cancer Tissue Classification from Multiple Annotators using Chained Deep Learning Approaches.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Breast cancer is one of the principal causes of cancer death worldwide. The biopsy diagnosis is non-trivial, and specialists often disagree on the final diagnosis. Thus, Computer-aided Diagnosis-(CAD) systems favor the efficiency of this process whil...
Humans Female Diagnosis, Computer-Assisted Breast Neoplasms Deep Learning
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SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming expert labeling in the field of medical imaging, and domain-specific restriction limits model generalizability. Visual in-context learning (ICL) is a n...
Image Processing, Computer-Assisted Deep Learning Algorithms Ultrasonography Humans Machine Learning
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Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India. In this regard, during the COVID-19 pandemic, teleophthalmology became a lifeline, and the Grabi attachment for smartphone-base...
Artificial Intelligence Remote Consultation Eye Diseases Pandemics COVID-19 Humans SARS-CoV-2 Ophthalmology Smartphone India Telemedicine
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The pseudo-siamese framework combines Transformer and CNN for medical image generation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Multi-phase medical imaging can provide significant improvement in disease multi-modal diagnosis. However, medical image data often suffer from modality missing issues. Therefore, synthesizing missing phases using available phases is of great clinica...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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Machine Learning Exploration of Brain Morphological Features and Sensory Measures.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Previous investigations have implicated the neuroanatomical basis of sensory systems; however, definitive neuroimaging biomarkers remain elusive. The present study employs machine learning techniques to probe the relationship between brain morphologi...
Humans Machine Learning Male Magnetic Resonance Imaging Neuroimaging Sensation Connectome Brain Female
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Drug-Target Interaction Prediction via Deep Multimodal Graph and Structural Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Drug-target interaction (DTI) prediction speeds up drug repurposing, accelerates drug screening, and reduces drug design timeframe. Previous DTI prediction frameworks lack consideration for the multimodal nature of DTI, advanced feature representatio...
Proteins Drug Repositioning Drug Interactions Algorithms Deep Learning Neural Networks, Computer Machine Learning Humans
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Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Attainment of optimal bone mineral density (BMD) in female athletes is a very important aspect of ensuring their well-being throughout their lives, and monitoring of BMD is essential to avoid fractures and bone-related injuries. Several tools for ass...
Adolescent East Asian People Japan Adult Surveys and Questionnaires Athletes Humans Machine Learning Female Young Adult Bone Density
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Enhancement of Functional Connectivity in Frontal-Parietal Regions After BCI-Actuated Supernumerary Robotic Finger Training.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The supernumerary robotic finger (SRF) can expand human hand abilities to achieve motor augmentation, and integrate with brain computer interface (BCI) to free the occupation of inherent body degrees of freedom. However, the neuro remodeling mechanis...
Female Young Adult Adult Humans Frontal Lobe Robotics Male Brain-Computer Interfaces Parietal Lobe Magnetic Resonance Imaging Fingers
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Scalable, Fast, Highly-Accurate Human-to-Robot Skill Transfer for the Dexterous, Efficient Operation of Histology Microtomes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Humans are capable of performing intricate and complex tasks, enabling seamless interaction with their surroundings. Therefore, capturing the human demonstrated skills and transferring these skills to robots is beneficial when engaging with and execu...
Robotics Equipment Design Humans
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Remote Motor Rehabilitation: EMG-IMU based Deep Learning Model Improves the Estimate of Wrist Kinematics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Technology for motor rehabilitation faces challenges in uncontrolled settings, such as at home. In these real-world scenarios, robust signals like electromyographic (EMG) and inertial measurement unit (IMU) data are crucial for decoding continuous hu...
Female Adult Biomechanical Phenomena Humans Neural Networks, Computer Wrist Electromyography Rehabilitation Deep Learning Wearable Electronic Devices Male
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