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Joseph Bae

Token Sparsification for Faster Medical Image Segmentation

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Mar 11, 2023
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Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

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Feb 08, 2023
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Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations

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Mar 31, 2022
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Self Pre-training with Masked Autoencoders for Medical Image Analysis

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Mar 10, 2022
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Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs

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Jan 18, 2022
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Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction

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Jul 18, 2021
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COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

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Dec 21, 2020
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Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

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Jul 15, 2020
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