Search Results - Atada, J

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  1. 1
    VP18.02: A deep learning system for the automated calliper placement to measure multiple fetal brain structures from two‐dimensional ultrasound images

    VP18.02: A deep learning system for the automated calliper placement to measure multiple fetal brain structures from two‐dimensional ultrasound images by Shankar, H., Narayan, A., Kaushik, S., Jain, S., Hegde, N., Vyas, P., Atada, J., Manjushree, S.P., Thang, J., Saw, S., Govindarajan, A., Roopa, P.S., Pai, M.V., Vasudeva, A., Radhakrishnan, P., Devalla, S.

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  2. 2
    OC11.02: A multicentre, multi‐device validation of a deep learning system for the automated segmentation of fetal brain structures from two‐dimensional ultrasound images

    OC11.02: A multicentre, multi‐device validation of a deep learning system for the automated segmentation of fetal brain structures from two‐dimensional ultrasound images by Narayan, A., Kaushik, S., Shankar, H., Jain, S., Hegde, N., Vyas, P., Atada, J., Manjushree, S.P., Thang, J., Saw, S., Govindarajan, A., Roopa, P.S., Pai, M.V., Vasudeva, A., Radhakrishnan, P., Devalla, S.

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    Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain

    Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain by Shankar, H, Narayan, A, Jain, S, Singh, D, Vyas, P, Hegde, N, Kar, P, Lad, A, Thang, J, Atada, J, Nguyen, D, Roopa, PS, Vasudeva, A, Radhakrishnan, P, Devalla, S

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  4. 4
    An Empirical Study on Cataract Multiclass Grading Assessment with Slit Lamp Bio-microscope Images Using Neural Network Models

    An Empirical Study on Cataract Multiclass Grading Assessment with Slit Lamp Bio-microscope Images Using Neural Network Models by Atada, Likhitha D., Manisha, S. Joshi, Dayananda, A. J.

    Published in Bioautomation
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