Alan Wang

Orcid: 0000-0003-0149-6055

Affiliations:
  • Cornell University, Department of Electrical and Computer Engineering, Ithaca, NY, USA
  • Weill Cornell Medical School, Department of Radiology, NY, USA


According to our database1, Alan Wang authored at least 21 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Knockout: A simple way to handle missing inputs.
Trans. Mach. Learn. Res., 2025

2024
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.
CoRR, 2024

A Framework for Interpretability in Machine Learning for Medical Imaging.
IEEE Access, 2024

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

Adapting to Shifting Correlations with Unlabeled Data Calibration.
Proceedings of the Computer Vision - ECCV 2024, 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

Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.
npj Digit. Medicine, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI.
Proceedings of the Machine Learning for Medical Image Reconstruction, 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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