For more details, see my Google Scholar profile.
Preprints
Generating Novel Brain Morphology by Deforming Learned Templates.
Alan Q. Wang, Fangrui Huang, Bailey Trang, Wei Peng, Mohammad Abbasi, Kilian Pohl, Mert Sabuncu, Ehsan Adeli.
[pre-print]
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.
Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian Dalca, Mert R. Sabuncu.
[pre-print]
Knockout: A simple way to handle missing inputs.
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang*, Fengbei Liu, Mert R. Sabuncu
[pre-print]
Publications
Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain.
Heejong Kim, Batuhan K Karaman, Qingyu Zhao, Alan Q Wang, Mert R Sabuncu
PNAS 2025
[journal]
Ethical Use of Artificial Intelligence in Medical Diagnostics Demands a Focus on Accuracy, Not Fairness.
Mert R. Sabuncu, Alan Q. Wang, Minh Nguyen
NEJM AI 2024
[journal]
A Framework for Interpretability in Machine Learning for Medical Imaging.
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu.
IEEE Access, 2024
[pre-print] [journal]
A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints.
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu.
Medical Image Analysis, 2023
[pre-print] [journal]
Hyper-Convolutions via Implicit Kernels for Medical Imaging.
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, and Mert R. Sabuncu.
Medical Image Analysis, 2023
[pre-print] [journal]
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification.
Alan Q. Wang and Mert R. Sabuncu.
Transactions on Machine Learning Research, 2023
[pre-print] [code] [journal]
Robust Learning via Conditional Prevalence Adjustment.
Minh Nguyen, Alan Q. Wang, Heejong Kim, and Mert R. Sabuncu.
WACV 2023
[pre-print]
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
Alan Q. Wang, Minh Nguyen, and Mert R. Sabuncu.
NeurIPS 2023
[pre-print]
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing.
Xinzi He, Alan Q. Wang, and Mert R. Sabuncu.
MICCAI 2023
[pre-print]
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection.
Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, and Mert R. Sabuncu.
Medical Imaging with Deep Learning, 2022 (Oral)
[pre-print]
Computing Multiple Image Reconstructions with a Single Hypernetwork.
Alan Q. Wang, Adrian V. Dalca, and Mert R. Sabuncu.
Machine Learning for Biomedical Imaging, 2022
[pre-print] [code] [journal]
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy.
Alan Q. Wang*, Aaron K. LaViolette*, Leo Moon, Chris Xu, and Mert R. Sabuncu.
MICCAI 2021
[pre-print] [code] [link]
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu.
Machine Learning for Medical Image Reconstruction @ MICCAI, 2021 (Oral)
[pre-print] [code] [link] [oral]
Deep-learning-based Optimization of the Under-sampling Pattern in MRI.
Cagla D. Bahadir*, Alan Q. Wang*, Adrian V. Dalca, Mert R. Sabuncu.
IEEE Transactions on Computational Imaging, 2020
[pre-print] [journal]
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data.
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu.
Machine Learning for Medical Image Reconstruction @ MICCAI, 2020 (Oral)
[pre-print] [link] [code] [oral]
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI.
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang.
Machine Learning for Medical Image Reconstruction @ MICCAI, 2020
[pre-print] [link]
* indicates equal contribution.