Alan Q. Wang

Orcid: 0000-0003-0149-6055

According to our database1, Alan Q. Wang authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Robust Learning via Conditional Prevalence Adjustment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A robust and interpretable deep learning framework for multi-modal registration via keypoints.
Medical Image Anal., December, 2023

Hyper-convolutions via implicit kernels for medical image analysis.
Medical Image Anal., May, 2023

A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification.
Trans. Mach. Learn. Res., 2023

A Framework for Interpretability in Machine Learning for Medical Imaging.
CoRR, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
CoRR, 2023

Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification.
CoRR, 2022

Computing Multiple Image Reconstructions with a Single Hypernetwork.
CoRR, 2022

Hyper-Convolutions via Implicit Kernels for Medical Imaging.
CoRR, 2022

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks.
CoRR, 2021

Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI.
IEEE Trans. Computational Imaging, 2020

Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020


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