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02/13/2023
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget
Learning High-Resolution representations is essential for semantic segme...
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06/28/2022
Semi-supervised Contrastive Outlier removal for Pseudo Expectation Maximization (SCOPE)
Semi-supervised learning is the problem of training an accurate predicti...
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11/09/2021
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
We demonstrate that Domain Invariant Feature Learning (DIFL) can improve...
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10/01/2021
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
We present a novel algorithm that is able to classify COVID-19 pneumonia...
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06/07/2021
Person Re-Identification with a Locally Aware Transformer
Person Re-Identification is an important problem in computer vision-base...
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04/02/2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
We present a novel conditional Generative Adversarial Network (cGAN) arc...
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10/02/2020
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
We present a semi-supervised algorithm for lung cancer screening in whic...
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09/26/2020
