Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MLMIR@MICCAI, 2020)

Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. - Jinwei Zhang; Hang Zhang 010; Alan Wang 003; Qihao Zhang; Mert R. Sabuncu; Pascal Spincemaille; Thanh D. Nguyen; Yi Wang 028 (MLMIR@MICCAI, 2020)

Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. - Cagla Deniz Bahadir; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (IEEE Trans. Computational Imaging, 2020)

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MLMIR@MICCAI, 2021)

Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. - Alan Q. Wang 003; Aaron K. LaViolette; Leo Moon; Chris Xu; Mert R. Sabuncu (MICCAI (6), 2021)

Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2021)

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. - Evan M. Yu; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MIDL, 2022)

Hyper-Convolutions via Implicit Kernels for Medical Imaging. - Tianyu Ma; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2022)

Computing Multiple Image Reconstructions with a Single Hypernetwork. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2022)

A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. - Alan Q. Wang 003; Mert R. Sabuncu (CoRR, 2022)

Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. - Xinzi He; Alan Q. Wang 003; Mert R. Sabuncu (MICCAI (8), 2023)

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. - Alan Q. Wang 003; Minh Nguyen 002; Mert R. Sabuncu (NeurIPS, 2023)

Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. - George Zhou; Yunchan Chen; Candace Chien; Leslie Revatta; Jannatul Ferdous; Michelle Chen; Shourov Deb; Sol De Leon Cruz; Alan Wang 003; Benjamin Lee; Mert R. Sabuncu; William Browne; et al. (npj Digit. Medicine, 2023)

A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. - Alan Q. Wang 003; Mert R. Sabuncu (Trans. Mach. Learn. Res., 2023)

Hyper-convolutions via implicit kernels for medical image analysis. - Tianyu Ma; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (Medical Image Anal., 2023)

A robust and interpretable deep learning framework for multi-modal registration via keypoints. - Alan Q. Wang 003; Evan M. Yu; Adrian V. Dalca; Mert R. Sabuncu (Medical Image Anal., 2023)

Adapting to Shifting Correlations with Unlabeled Data Calibration. - Minh Nguyen 002; Alan Q. Wang 003; Heejong Kim; Mert R. Sabuncu (ECCV (87), 2024)

Robust Learning via Conditional Prevalence Adjustment. - Minh Nguyen 002; Alan Q. Wang 003; Heejong Kim; Mert R. Sabuncu (WACV, 2024)

A Framework for Interpretability in Machine Learning for Medical Imaging. - Alan Q. Wang 003; Batuhan K. Karaman; Heejong Kim; Jacob Rosenthal; Rachit Saluja; Sean I. Young; Mert R. Sabuncu (IEEE Access, 2024)

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. - Alan Q. Wang 003; Rachit Saluja; Heejong Kim; Xinzi He; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2024)

Knockout: A simple way to handle missing inputs. - Minh Nguyen 002; Batuhan K. Karaman; Heejong Kim; Alan Q. Wang 003; Fengbei Liu; Mert R. Sabuncu (Trans. Mach. Learn. Res., 2025)