Oana M. Dumitrascu

According to our database1, Oana M. Dumitrascu authored at least 19 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images.
CoRR, April, 2025

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.
CoRR, March, 2025

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.
CoRR, February, 2025

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
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.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

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

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
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.
Frontiers Appl. Math. Stat., 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

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

2022
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation.
CoRR, 2022


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