Peijie Qiu

Orcid: 0000-0002-1591-5436

According to our database1, Peijie Qiu authored at least 23 papers between 2022 and 2024.

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Bibliography

2024
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
CoRR, 2024

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.
CoRR, 2024

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
CoRR, 2024

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation.
CoRR, 2024

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.
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.
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.
Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks.
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.
CoRR, 2023

NSOTree: Neural Survival Oblique Tree.
CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.
CoRR, 2023

NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research.
CoRR, 2023

SC-VAE: Sparse Coding-based Variational Autoencoder.
CoRR, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images.
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.
Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.
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.
CoRR, 2022


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