For more details, see my Google Scholar profile.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding.
Christina Liu*, Alan Q. Wang*, Joy Hsu, Jiajun Wu, Ehsan Adeli.
Under Review
[pre-print]

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation.
Bailey Trang, Parham Saremi, Alan Q. Wang, Fangrui Huang, Zahra TehraniNasab, Amar Kumar, Tal Arbel, Li Fei-Fei, Ehsan Adeli.
NeurIPS 2025
[pre-print]

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.
MICCAI 2025
[pre-print] [link] [code]

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.
MELBA 2025
[pre-print] [journal] [code]

Knockout: A simple way to handle missing inputs.
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang*, Fengbei Liu, Mert R. Sabuncu
TMLR 2025
[pre-print] [journal]

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.