Biomedical imaging

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Author(s)3: Seonyeong Park, H. Michael Gach, Siyong Kim, Suk Jin Lee, Yuichi Motai
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: To introduce an MRI in-plane resolution enhancement method that estimates High-Resolution (HR) MRIs from Low-Resolution (LR) MRIs. Method & Materials: Previous CNN-based MRI super-resolution methods cause loss of input…

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Novel Technique for Noninvasive Detection of Localized Dynamic Brain Signals by Using Transcranial Static Magnetic Fields
Author(s)3: Osamu Hiwaki
Novel Technique for Noninvasive Detection of Localized Dynamic Brain Signals by Using Transcranial Static Magnetic Fields 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

The techniques for noninvasive measurement of brain function such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS) have been used in diagnosing brain…

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Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

Optimize Transfer Learning for Lung Diseases in Bronchoscopy Using a New Concept: Sequential Fine-Tuning
Author(s)3: Tao Tan, Zhang Li, Haixia Liu, Farhad G. Zanjani, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li
Optimize Transfer Learning for Lung Diseases in Bronchoscopy Using a New Concept: Sequential Fine-Tuning 200 550 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Bronchoscopy inspection, as a follow-up procedure next to the radiological imaging, plays a key role in the diagnosis and treatment design for lung disease patients. When performing bronchoscopy, doctors…

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