Oana M. Dumitrascu

According to our database, Oana M. Dumitrascu authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement.

Xuanzhao Dong, Wenhui Zhu, Xiwen Chen, Hao Wang, Xin Li, Yujian Xiong, Jiajun Cheng, Zhipeng Wang, Shao Tang, Oana M. Dumitrascu, Yalin Wang

CoRR, April, 2026

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement.

Yujian Xiong, Xuanzhao Dong, Wenhui Zhu, Xin Li, Oana M. Dumitrascu, Yalin Wang

CoRR, January, 2026

2025

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis.

Xin Li, Wenhui Zhu, Xuanzhao Dong, Hao Wang, Yujian Xiong, Oana M. Dumitrascu, Yalin Wang

CoRR, December, 2025

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement.

Xuanzhao Dong, Wenhui Zhu, Yujian Xiong, Xiwen Chen, Hao Wang, Xin Li, Jiajun Cheng, Zhipeng Wang, Shao Tang, Oana M. Dumitrascu, Yalin Wang

CoRR, November, 2025

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images.

Xin Li, Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Amal Youssef, Yalin Wang

CoRR, April, 2025

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.

Wenhui Zhu, Xin Li, Xiwen Chen, Peijie Qiu, Vamsi Krishna Vasa, Xuanzhao Dong, Yanxi Chen, Natasha Leporé, Oana M. Dumitrascu, Yi Su, Yalin Wang

CoRR, March, 2025

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.

Wenhui Zhu, Xuanzhao Dong, Xin Li, Yujian Xiong, Xiwen Chen, Peijie Qiu, Vamsi Krishna Vasa, Zhangsihao Yang, Yi Su, Oana M. Dumitrascu, Yalin Wang

CoRR, February, 2025

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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

EViT-UNET: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices.

Xin Li, Wenhui Zhu, Xuanzhao Dong, Oana M. Dumitrascu, Yalin Wang

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement.

Xuanzhao Dong, Wenhui Zhu, Xin Li, Guoxin Sun, Yi Su, Oana M. Dumitrascu, Yalin Wang

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

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

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

CoRR, 2024

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.

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

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.

Xuanzhao Dong, Yalin Wang, Yanxi Chen, Xin Li, Hao Wang, Peijie Qiu, Xiwen Chen, Abolfazl Razi, Yujian Xiong, Oana M. Dumitrascu, Wenhui Zhu

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine.

Amara Tariq, Oana M. Dumitrascu, Man Luo, Gina Dumkrieger, Todd J. Schwedt, Catherine D. Chong, Imon Banerjee

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 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

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

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

Modeling and analysis of the addiction of social media through fractional calculus.

Meshal Shutaywi, Ziad Ur Rehman, Zahir Shah, Narcisa Vrinceanu, Rashid Jan, Wejdan Deebani, Oana M. Dumitrascu

Frontiers Appl. Math. Stat., 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

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

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

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