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2020 – today
- 2025
[j1]Pan Xiao, Peijie Qiu
, Sung Min Ha, Abdalla Bani, Shuang Zhou, Aristeidis Sotiras:
SC-VAE: Sparse coding-based variational autoencoder with learned ISTA. Pattern Recognit. 161: 111187 (2025)- 2024
- [c11]Xiaotong Sun, Peijie Qiu, Shengfan Zhang:
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks. CIKM 2024: 4081-4085 - [c10]Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi:
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters. CVPR Workshops 2024: 1420-1429 - [c9]Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
nnMobileNet: Rethinking CNN for Retinopathy Research. CVPR Workshops 2024: 2285-2294 - [c8]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. ECCV (38) 2024: 333-351 - [c7]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. ICML 2024 - [c6]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. MICCAI (8) 2024: 601-611 - [i24]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 abs/2403.10674 (2024) - [i23]Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR abs/2404.00122 (2024) - [i22]Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi:
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters. CoRR abs/2405.02944 (2024) - [i21]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 abs/2405.03140 (2024) - [i20]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR abs/2406.14896 (2024) - [i19]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 abs/2407.03575 (2024) - [i18]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 abs/2407.12271 (2024) - [i17]Xiaotong Sun, Peijie Qiu, Shengfan Zhang:
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks. CoRR abs/2407.14463 (2024) - [i16]Vamsi Krishna Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana Dumitrascu, Yalin Wang:
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement. CoRR abs/2409.07862 (2024) - [i15]Jin Yang, Xiaobing Yu, Peijie Qiu:
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation. CoRR abs/2409.08905 (2024) - [i14]Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang:
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. CoRR abs/2409.10966 (2024) - [i13]Vamsi Krishna Vasa, Wenhui Zhu, Xiwen Chen, Peijie Qiu, Xuanzhao Dong, Yalin Wang:
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation. CoRR abs/2410.11578 (2024) - [i12]Hao Wang, Wenhui Zhu, Xuanzhao Dong, Yanxi Chen, Xin Li, Peijie Qiu, Xiwen Chen, Vamsi Krishna Vasa, Yujian Xiong, Oana M. Dumitrascu, Abolfazl Razi, Yalin Wang:
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification. CoRR abs/2412.02825 (2024) - [i11]Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction. CoRR abs/2412.07156 (2024) - [i10]Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Xiaotong Sun, Jin Yang, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras:
Multimodal Variational Autoencoder: a Barycentric View. CoRR abs/2412.20487 (2024) - 2023
- [c5]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - [c4]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: 415-427 - [c3]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: 1-5 - [c2]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: 56-65 - [c1]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: 173-182 - [i9]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 abs/2302.02991 (2023) - [i8]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 abs/2302.03003 (2023) - [i7]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR abs/2302.03830 (2023) - [i6]Pan Xiao, Peijie Qiu, Aristeidis Sotiras:
SC-VAE: Sparse Coding-based Variational Autoencoder. CoRR abs/2303.16666 (2023) - [i5]Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. CoRR abs/2306.01289 (2023) - [i4]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang:
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR abs/2308.10112 (2023) - [i3]Xiaotong Sun, Peijie Qiu:
NSOTree: Neural Survival Oblique Tree. CoRR abs/2309.13825 (2023) - [i2]Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2311.00048 (2023) - 2022
- [i1]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 abs/2210.05946 (2022)
Coauthor Index
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