Related Experiment Video

Updated: Dec 11, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.2K

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks"

Dong Nie, Roger Trullo, Jun Lian

    IEEE Transactions on Bio-Medical Engineering
    |August 20, 2020
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    685

    Related Experiment Videos

    Last Updated: Dec 11, 2025

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.2K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    685

    Related Concept Videos

    Improving Translational Accuracy02:07

    Improving Translational Accuracy

    13.5K
    Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
    13.5K
    Improving Translational Accuracy02:07

    Improving Translational Accuracy

    3.4K
    3.4K

    Articles linked to this work by shared authors, journal, and citation graph.

    Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images.

    Journal of imaging·2022

    Multiorgan segmentation using distance-aware adversarial networks.

    Journal of medical imaging (Bellingham, Wash.)·2019

    Fully automated esophagus segmentation with a hierarchical deep learning approach.

    Conference proceedings. IEEE International Conference on Signal and Image Processing Applications·2018

    Medical Image Synthesis with Context-Aware Generative Adversarial Networks.

    Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2018

    Medical Image Synthesis with Deep Convolutional Adversarial Networks.

    IEEE transactions on bio-medical engineering·2018

    Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.

    Deep learning in medical image analysis and multimodal learning for clinical decision support : Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, held in conjunction with MICCAI 2017 Quebec City, QC,...·2018

    Analyzing Frequency-Space-Time EEG Signatures via Interpretable Neural Networks: A Simulation Study.

    IEEE transactions on bio-medical engineering·2026

    VIGIL: Vision-Language Guided Multiple Instance Learning Framework for Ulcerative Colitis Histological Healing Prediction.

    IEEE transactions on bio-medical engineering·2026

    ECG-Based Spatiotemporal Characterization of Delayed and Heterogeneous Ventricular Activation in Brugada Syndrome.

    IEEE transactions on bio-medical engineering·2026

    Noninvasive Intracranial Pressure Estimation Using Subspace System Identification and Machine Learning Algorithms: A Learning-to-Rank Approach.

    IEEE transactions on bio-medical engineering·2026

    Fabrication and Biocompatibility Testing of Thin-Film Metamaterial Neurostimulation Leads for Magnetic Resonance Imaging.

    IEEE transactions on bio-medical engineering·2026

    Seismo-Mat: mattress-embedded inertial sensors for unobtrusive monitoring of heart rate, respiratory rate, and bed occupancy during sleep.

    IEEE transactions on bio-medical engineering·2026

    Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples.

    ACS omega·2026

    PlasmidRiskNet: An explainable machine-learning framework for antimicrobial resistance plasmid risk stratification.

    New microbes and new infections·2026

    AI alignment in medical imaging: Unveiling hidden biases through counterfactual analysis.

    PLOS digital health·2026

    Mammographic density assessment by an artificial intelligence model for breast cancer detection in BreastScreen Norway.

    European radiology·2026

    Dynamic pseudo-label guided adversarial multi-scale graph convolutional network for cross-domain fault diagnosis.

    The Review of scientific instruments·2026

    PRRSV suppresses FTO-dependent m6A demethylation to reprogram STAT signaling and innate immunity.

    mBio·2026
    See all related articles
    JoVE
    x logofacebook logolinkedin logoyoutube logo
    ABOUT JoVE
    OverviewLeadershipBlogJoVE Help Center
    AUTHORS
    Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
    LIBRARIANS
    TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
    RESEARCH
    JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
    EDUCATION
    JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
    Terms & Conditions of Use
    Privacy Policy
    Policies
    Jove
    Visualize
    Contact Us