deep learning

Tenodesis Grasp Detection in Egocentric Video
Author(s)3: Mehdy Dousty, José Zariffa
Tenodesis Grasp Detection in Egocentric Video 1268 632 Journal of Biomedical and Health Informatics (JBHI)

Cervical spinal cord injury (cSCI) can impair motor function in the upper limbs. Video from wearable cameras (egocentric video) has the potential to provide monitoring of rehabilitation outcomes at home,…

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AI in Medical Imaging Informatics: Current Challenges and Future Directions
Author(s)3: Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis Zervakis, Joel H. Saltz, Constantinos S. Pattichis
AI in Medical Imaging Informatics: Current Challenges and Future Directions 1269 639 Journal of Biomedical and Health Informatics (JBHI)

This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in…

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Localizing B-lines in Lung Ultrasonography by Weakly-Supervised Deep Learning, in-vivo results
Author(s)3: Ana Ruud JG van Sloun, Libertario Demi
Localizing B-lines in Lung Ultrasonography by Weakly-Supervised Deep Learning, in-vivo results 1269 635 Journal of Biomedical and Health Informatics (JBHI)

Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are…

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Relative Afferent Pupillary Defect Screening through Transfer Learning
Author(s)3: Dogancan Temel, Ghassan AlRegib, Melvin J. Mathew, Yousuf M. Khalifa
Relative Afferent Pupillary Defect Screening through Transfer Learning 865 433 Journal of Biomedical and Health Informatics (JBHI)

Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on…

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Mobile Stride Length Estimation with Deep Convolutional Neural Networks

Mobile Stride Length Estimation with Deep Convolutional Neural Networks
Author(s)3: Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Bjoern M. Eskofier
Mobile Stride Length Estimation with Deep Convolutional Neural Networks 780 435 Journal of Biomedical and Health Informatics (JBHI)

        Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the-art double integration…

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