| UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering | Jul 6, 2023 | DiagnosticImage Enhancement | —Unverified | 0 |
| Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder | Apr 4, 2023 | ClassificationDecoder | —Unverified | 0 |
| Medical visual question answering using joint self-supervised learning | Feb 25, 2023 | DecoderDiversity | —Unverified | 0 |
| Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning | Feb 19, 2023 | Graph LearningMedical Visual Question Answering | —Unverified | 0 |
| UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering | Dec 21, 2022 | Data AugmentationDecision Making | —Unverified | 0 |
| MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering | Nov 11, 2022 | Medical Visual Question AnsweringQuestion Answering | —Unverified | 0 |
| A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering | Oct 1, 2022 | Medical Visual Question AnsweringQuestion Answering | CodeCode Available | 0 |
| RepsNet: Combining Vision with Language for Automated Medical Reports | Sep 27, 2022 | Contrastive LearningDecoder | —Unverified | 0 |
| OVQA: A Clinically Generated Visual Question Answering Dataset | Jul 7, 2022 | BenchmarkingMedical Visual Question Answering | —Unverified | 0 |
| ViLMedic: a framework for research at the intersection of vision and language in medical AI | May 1, 2022 | Medical Visual Question AnsweringQuestion Answering | CodeCode Available | 0 |
