Open-ended Medical Visual Question Answering Through Prefix Tuning of Language Models T Van Sonsbeek, MM Derakhshani, I Najdenkoska, CGM Snoek, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 51 | 2023 |
Variational topic inference for chest x-ray report generation I Najdenkoska, X Zhen, M Worring, L Shao Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 35 | 2021 |
Lifelonger: A benchmark for continual disease classification MM Derakhshani, I Najdenkoska, T van Sonsbeek, X Zhen, D Mahapatra, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 32 | 2022 |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning I Najdenkoska, X Zhen, M Worring International Conference on Learning Representations (ICLR) 2023, 2023 | 30 | 2023 |
Uncertainty-aware Report Generation for Chest X-rays by Variational Topic Inference I Najdenkoska, X Zhen, M Worring, L Shao Medical Image Analysis 82, 102603, 2022 | 16 | 2022 |
Context diffusion: In-context Aware Image Generation I Najdenkoska, A Sinha, A Dubey, D Mahajan, V Ramanathan, ... European Conference on Computer Vision (ECCV) 2024, 2023 | 3 | 2023 |
Learning to Automatically Generate Accurate ECG Captions MGG Bartels, I Najdenkoska, RR van de Leur, A Sammani, K Taha, ... International Conference on Medical Imaging with Deep Learning, 86-102, 2022 | 2 | 2022 |
Detecting emotions in tweets based on hybrid approach I Najdenkoska, F Stojanovska, S Gievska Proceedings of the 15th International Conference on Informatics and …, 2018 | 2 | 2018 |
Self-Supervised Open-Ended Classification with Small Visual Language Models MM Derakhshani, I Najdenkoska, CGM Snoek, M Worring, YM Asano ICLR ME-FoMo 2024, 2024 | 1* | 2024 |
TULIP: Token-length Upgraded CLIP I Najdenkoska, MM Derakhshani, YM Asano, N van Noord, M Worring, ... arXiv preprint arXiv:2410.10034, 2024 | | 2024 |
In-Context Learning Improves Compositional Understanding of Vision-Language Models M Nulli, A Ibrahimi, A Pal, H Lee, I Najdenkoska ICML 2024 Workshop on Foundation Models in the Wild, 2024 | | 2024 |
GCNIllustrator: Illustrating the Effect of Hyperparameters on Graph Convolutional Networks I Najdenkoska, J den Boef, T Schneider, J van der Werf, R de Ridder, ... Proceedings of the 29th ACM International Conference on Multimedia, 2807-2809, 2021 | | 2021 |
Meta-Learning Makes a Better Multimodal Few-shot Learner I Najdenkoska, X Zhen, M Worring Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 0 | | |