Peijie Qiu

According to our database, Peijie Qiu authored at least 24 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation.

Vamsi Krishna Vasa, Wenhui Zhu, Xiwen Chen, Peijie Qiu, Xuanzhao Dong, Yalin Wang

CoRR, 2024

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.

Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang

CoRR, 2024

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.

Jin Yang, Xiaobing Yu, Peijie Qiu

CoRR, 2024

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.

Vamsi Krishna Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana Dumitrascu, Yalin Wang

CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.

Hao Wang, Wenhui Zhu, Jiayou Qin, Xin Li, Oana Dumitrascu, Xiwen Chen, Peijie Qiu, Abolfazl Razi

CoRR, 2024

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation.

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

CoRR, 2024

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

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

CoRR, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks.

Xiaotong Sun, Peijie Qiu, Shengfan Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras

CoRR, 2023

NSOTree: Neural Survival Oblique Tree.

Xiaotong Sun, Peijie Qiu

CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.

Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang

CoRR, 2023

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

Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

CoRR, 2023

SC-VAE: Sparse Coding-based Variational Autoencoder.

Pan Xiao, Peijie Qiu, Aristeidis Sotiras

CoRR, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

Proceedings of the Myopic Maculopathy Analysis, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images.

Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing.

Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang

Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.

Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation.

Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang

CoRR, 2022