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    Chapter and Conference Paper

    Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling

    The ability to accurately diagnose and analyze head and neck (H&N) tumors in head and neck cancer (HNC) is critical in the administration of patient specific radiation therapy treatment and predicting patient ...

    Gowtham Krishnan Murugesan, Eric Brunner in Head and Neck Tumor Segmentation and Outco… (2022)

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    Chapter and Conference Paper

    Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

    In this work, we developed multiple 2D and 3D segmentation models with multiresolution input to segment brain tumor components and then ensembled them to obtain robust segmentation maps. Ensembling reduced ove...

    Gowtham Krishnan Murugesan, Sahil Nalawade in Brainlesion: Glioma, Multiple Sclerosis, S… (2021)

  3. No Access

    Chapter and Conference Paper

    Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

    In this work, we developed multiple 2D and 3D segmentation models with multiresolution input to segment brain tumor components and then ensembled them to obtain robust segmentation maps. Ensembling reduced ove...

    Gowtham Krishnan Murugesan, Sahil Nalawade in Brainlesion: Glioma, Multiple Sclerosis, S… (2020)