Alan Q. Wang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Compressed Sensing

Top Venues

Medical Image Anal.

IEEE Trans. Computational Imaging

Publications

Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR (2024)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
Robust Learning via Conditional Prevalence Adjustment. WACV (2024)
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access 12 (2024)
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
Knockout: A simple way to handle missing inputs. CoRR (2024)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. 90 (2023)
Xinzi He, Alan Q. Wang, Mert R. Sabuncu
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. MICCAI (8) (2023)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. 86 (2023)
Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. CoRR (2023)
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
A Framework for Interpretability in Machine Learning for Medical Imaging. CoRR (2023)
Alan Q. Wang, Mert R. Sabuncu
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. Trans. Mach. Learn. Res. 2023 (2023)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
Robust Learning via Conditional Prevalence Adjustment. CoRR (2023)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR (2022)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR (2022)
Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL (2022)
Alan Q. Wang, Mert R. Sabuncu
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. CoRR (2022)
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. MICCAI (6) (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI (2021)
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. CoRR (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR (2021)
Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. IEEE Trans. Computational Imaging 6 (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. MLMIR@MICCAI (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR (2020)