Skip to main content

4 Result(s)

within Alan Q. Wang Remove this filter

and

  1. No Access

    Chapter and Conference Paper

    Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing

    Head MRI pre-processing involves converting raw images to an intensity-normalized, skull-stripped brain in a standard coordinate space. In this paper, we propose an end-to-end weakly supervised learning approa...

    **nzi He, Alan Q. Wang, Mert R. Sabuncu in Medical Image Computing and Computer Assis… (2023)

  2. No Access

    Chapter and Conference Paper

    HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks

    Reconstructing under-sampled k-space measurements in Compressed Sensing MRI (CS-MRI) is classically solved by minimizing a regularized least-squares cost function. In the absence of fully-sampled training data, t...

    Alan Q. Wang, Adrian V. Dalca… in Machine Learning for Medical Image Reconst… (2021)

  3. No Access

    Chapter and Conference Paper

    Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

    Compressed sensing fluorescence microscopy (CS-FM) proposes a scheme whereby less measurements are collected during sensing and reconstruction is performed to recover the image. Much work has gone into optimiz...

    Alan Q. Wang, Aaron K. LaViolette, Leo Moon… in Medical Image Computing and Computer Assis… (2021)

  4. No Access

    Chapter and Conference Paper

    Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data

    Compressed Sensing MRI (CS-MRI) has shown promise in reconstructing under-sampled MR images, offering the potential to reduce scan times. Classical techniques minimize a regularized least-squares cost function...

    Alan Q. Wang, Adrian V. Dalca… in Machine Learning for Medical Image Reconst… (2020)