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Joseph Bae

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Token Sparsification for Faster Medical Image Segmentation

Mar 11, 2023
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

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Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

Feb 08, 2023
Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

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Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations

Mar 31, 2022
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

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Self Pre-training with Masked Autoencoders for Medical Image Analysis

Mar 10, 2022
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

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Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs

Jan 18, 2022
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna

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

Jul 18, 2021
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna

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COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

Dec 21, 2020
Rohan Sukumaran, Parth Patwa, T V Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar

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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

Jul 15, 2020
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna

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