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10/14/2022
Wide Range MRI Artifact Removal with Transformers
Artifacts on magnetic resonance scans are a serious challenge for both r...
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08/10/2022
PatchDropout: Economizing Vision Transformers Using Patch Dropout
Vision transformers have demonstrated the potential to outperform CNNs i...
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05/27/2022
PSL is Dead. Long Live PSL
Property Specification Language (PSL) is a form of temporal logic that h...
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03/02/2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse Other Factors
Transfer learning is a standard technique to transfer knowledge from one...
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12/17/2021
Privacy Leakage over Dependent Attributes in One-Sided Differential Privacy
Providing a provable privacy guarantees while maintaining the utility of...
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12/02/2021
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Interval and large invasive breast cancers, which are associated with wo...
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10/18/2021
Conditional De-Identification of 3D Magnetic Resonance Images
Privacy protection of medical image data is challenging. Even if metadat...
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08/20/2021
Is it Time to Replace CNNs with Transformers for Medical Images?
Convolutional Neural Networks (CNNs) have reigned for a decade as the de...
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06/15/2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
While machine learning algorithms excel at many challenging visual tasks...
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07/24/2020
Unsupervised Discovery of 3D Physical Objects from Video
We study the problem of unsupervised physical object discovery. Unlike e...
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07/11/2020
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models
The ability to accurately estimate risk of developing breast cancer woul...
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06/16/2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Visual relationship detection is fundamental for holistic image understa...
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11/11/2019
An empirical study of the relation between network architecture and complexity
In this preregistration submission, we propose an empirical study of how...
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02/18/2018