2025
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models.
CoRR, May, 2025
DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models.
CoRR, May, 2025
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint.
CoRR, May, 2025
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.
CoRR, April, 2025
A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images.
CoRR, April, 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
CoRR, April, 2025
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning.
CoRR, April, 2025
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.
CoRR, March, 2025
RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.
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CoRR, March, 2025
EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.
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CoRR, February, 2025
SC-VAE: Sparse coding-based variational autoencoder with learned ISTA.
Pattern Recognit., 2025
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Multimodal Variational Autoencoder: A Barycentric View.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction.
CoRR, 2024
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation.
CoRR, 2024
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation.
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
Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.
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Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024
DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.
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Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 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
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
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