Peijie Qiu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 22

Top Topics

Medical Image Segmentation

Object Based Image Retrieval

Multiple Instance Learning

Top Venues

Publications

Xiaotong Sun, Peijie Qiu, Shengfan Zhang
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks. CoRR (2024)
Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR (2024)
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters. CoRR (2024)
Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR (2024)
Hao Wang, Wenhui Zhu, Jiayou Qin, Xin Li, Oana Dumitrascu, Xiwen Chen, Peijie Qiu, Abolfazl Razi
RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection. CoRR (2024)
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. CoRR (2024)
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. CoRR (2024)
Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. CoRR (2024)
Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. MICCAI (4) (2023)
Xiaotong Sun, Peijie Qiu
NSOTree: Neural Survival Oblique Tree. CoRR (2023)
Pan Xiao, Peijie Qiu, Aristeidis Sotiras
SC-VAE: Sparse Coding-based Variational Autoencoder. CoRR (2023)
Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang
Beyond MobileNet: An Improved MobileNet for Retinal Diseases. MMAC@MICCAI (2023)
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. IPMI (2023)
Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. CoRR (2023)
Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang
Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images. ISBI (2023)
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. CoRR (2023)
Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR (2023)
Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images. CoRR (2023)
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR (2023)
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI (2023)
Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation. CoRR (2022)