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Peijie Qiu

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TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning

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May 06, 2024
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi

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Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters

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May 05, 2024
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi

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AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation

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Mar 29, 2024
Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

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D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

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Mar 15, 2024
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras

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SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification

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Oct 31, 2023
Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras

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NSOTree: Neural Survival Oblique Tree

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Sep 25, 2023
Xiaotong Sun, Peijie Qiu

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PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

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Aug 19, 2023
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang

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NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research

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Jun 02, 2023
Wenhui Zhu, Peijie Qiu, Natasha Lepore, Oana M. Dumitrascu, Yalin Wang

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SC-VAE: Sparse Coding-based Variational Autoencoder

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Mar 29, 2023
Pan Xiao, Peijie Qiu, Aristeidis Sotiras

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TetCNN: Convolutional Neural Networks on Tetrahedral Meshes

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Feb 14, 2023
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang

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