Search Results - Dehkordi, Azimeh N. V.

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  1. 1
    Quantitative and Visual Analysis of Data Augmentation and Hyperparameter Optimization in Deep Learning-Based Segmentation of Low-Grade Glioma Tumors Using Grad-CAM

    Quantitative and Visual Analysis of Data Augmentation and Hyperparameter Optimization in Deep Learning-Based Segmentation of Low-Grade Glioma Tumors Using Grad-CAM by Khodadadi Shoushtari, Fereshteh, Dehkordi, Azimeh N. V., Sina, Sedigheh

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  2. 2
    DCE‐MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro‐fuzzy‐based model and nested model selection technique

    DCE‐MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro‐fuzzy‐based model and nested model selection technique by Dehkordi, Azimeh N.V., Kamali‐Asl, Alireza, Wen, Ning, Mikkelsen, Tom, Chetty, Indrin J., Bagher‐Ebadian, Hassan

    Published in NMR in biomedicine
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  3. 3
    An adaptive model for rapid and direct estimation of extravascular extracellular space in dynamic contrast enhanced MRI studies

    An adaptive model for rapid and direct estimation of extravascular extracellular space in dynamic contrast enhanced MRI studies by Dehkordi, Azimeh N.V., Kamali‐Asl, Alireza, Ewing, James R., Wen, Ning, Chetty, Indrin J., Bagher‐Ebadian, Hassan

    Published in NMR in biomedicine
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  4. 4
    Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights

    Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights by Khodadadi Shoushtari, Fereshteh, Sina, Sedigheh, Dehkordi, Azimeh N.V.

    Published in Physica medica
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  5. 5
    Abstract 2710: Model evolution technique as a novel concept for characterization of tumor heterogeneity in dynamic contrast enhanced MRI studies

    Abstract 2710: Model evolution technique as a novel concept for characterization of tumor heterogeneity in dynamic contrast enhanced MRI studies by Bagher-Ebadian, Hassan, Dehkordi, Azimeh NV, Alamgharibi, Rasha, Nathanson, David, Soltanian-Zadeh, Hamid, Ali, Arbab S., Brown, Stephen, Ali, Meser M., Mikkelsen, Tom, Ewing, James R.

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  6. 6
    Abstract 466: MR prediction of tumor burden in Patient-Derived Mouse Xenografts model of glioblastoma using an adaptive model

    Abstract 466: MR prediction of tumor burden in Patient-Derived Mouse Xenografts model of glioblastoma using an adaptive model by Bagher-Ebadian, Hassan, deCarvalho, Ana, Dehkordi, Azimeh NV, Nagaraja, Tavarekere, Irtenkauf, Susan, Panda, Swayamparva, Ali, Meser M., Ali, Arbab S., Soltanian-Zadeh, Hamid, Knight, Robert, Ewing, James R.

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