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  1. No Access

    Chapter and Conference Paper

    Federated Learning for Brain Tumor Segmentation Using MRI and Transformers

    This work focuses on training a deep learning network in a federated learning framework. The Federated Tumor Segmentation Challenge has 2 separate tasks. Task-1 was to design an aggregation logic for a given n...

    Sahil Nalawade, Chandan Ganesh, Ben Wagner… in Brainlesion: Glioma, Multiple Sclerosis, S… (2022)

  2. No Access

    Chapter and Conference Paper

    Disparity Autoencoders for Multi-class Brain Tumor Segmentation

    Multi-class brain tumor segmentation is important for predicting the aggressiveness and treatment response of gliomas

    Chandan Ganesh Bangalore Yogananda… in Brainlesion: Glioma, Multiple Sclerosis, S… (2022)

  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… (2021)

  4. No Access

    Chapter and Conference Paper

    Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI

    Tumor segmentation of magnetic resonance images is a critical step in providing objective measures of predicting aggressiveness and response to therapy in gliomas. It has valuable applications in diagnosis, mo...

    Chandan Ganesh Bangalore Yogananda… in Brainlesion: Glioma, Multiple Sclerosis, S… (2020)

  5. 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)

  6. Article

    Open Access

    Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

    It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...

    Ling Ma, Guolan Lu, Dongsheng Wang… in Visual Computing for Industry, Biomedicine… (2019)

    Download PDF (2227 KB) View Article

  7. No Access

    Chapter and Conference Paper

    A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer

    Prostate cancer affects 1 in 6 men in the USA. Systematic transrectal ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. However, this

    Baowei Fei, Viraj Master, Peter Nieh… in Prostate Cancer Imaging. Image Analysis an… (2011)