@article{NEJATIMANZARI2026114045,title={Medical image classification with KAN-integrated transformers and dilated neighborhood attention},journal={Applied Soft Computing},volume={186},pages={114045},year={2026},issn={1568-4946},doi={https://doi.org/10.1016/j.asoc.2025.114045},url={https://www.sciencedirect.com/science/article/pii/S1568494625013584},author={{Nejati Manzari}, Omid and Asgariandehkordi, Hojat and Koleilat, Taha and Xiao, Yiming and Rivaz, Hassan},}
2025
Biomedcoop: Learning to prompt for biomedical vision-language models
Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, and Yiming Xiao
In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
@inproceedings{koleilat2025biomedcoop,title={Biomedcoop: Learning to prompt for biomedical vision-language models},author={Koleilat, Taha and Asgariandehkordi, Hojat and Rivaz, Hassan and Xiao, Yiming},booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},pages={14766--14776},year={2025},}
Medclip-samv2: Towards universal text-driven medical image segmentation
Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, and Yiming Xiao
@article{koleilat2025medclip,title={Medclip-samv2: Towards universal text-driven medical image segmentation},author={Koleilat, Taha and Asgariandehkordi, Hojat and Rivaz, Hassan and Xiao, Yiming},journal={Medical Image Analysis},pages={103749},year={2025},publisher={Elsevier},}
Textsam-eus: Text prompt learning for sam to accurately segment pancreatic tumor in endoscopic ultrasound
Pascal Spiegler*, Taha Koleilat*, Arash Harirpoush, Corey S Miller, Hassan Rivaz, Marta Kersten-Oertel, and Yiming Xiao
In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
@inproceedings{spiegler2025textsam,title={Textsam-eus: Text prompt learning for sam to accurately segment pancreatic tumor in endoscopic ultrasound},author={Spiegler*, Pascal and Koleilat*, Taha and Harirpoush, Arash and Miller, Corey S and Rivaz, Hassan and Kersten-Oertel, Marta and Xiao, Yiming},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={948--957},year={2025},}
Singular Value Few-shot Adaptation of Vision-Language Models
@article{koleilat2025singular,title={Singular Value Few-shot Adaptation of Vision-Language Models},author={Koleilat, Taha and Rivaz, Hassan and Xiao, Yiming},journal={arXiv preprint arXiv:2509.03740},year={2025},}
Grounding DINO-US-SAM: Text-Prompted Multiorgan Segmentation in Ultrasound With LoRA-Tuned Vision–Language Models
Hamza Rasaee, Taha Koleilat, and Hassan Rivaz
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2025
@article{11146904,author={Rasaee, Hamza and Koleilat, Taha and Rivaz, Hassan},journal={IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},title={Grounding DINO-US-SAM: Text-Prompted Multiorgan Segmentation in Ultrasound With LoRA-Tuned Vision–Language Models},year={2025},volume={72},number={10},pages={1414-1425},keywords={Ultrasonic imaging;Image segmentation;Breast;Grounding;Training;Imaging;Adaptation models;Acoustics;Thyroid;Liver;Grounding DINO;prompt-driven segmentation;segment anything model (SAM) SAM2;ultrasound image segmentation;vision–language models (VLMs)},doi={10.1109/TUFFC.2025.3605285},}
2024
Medclip-sam: Bridging text and image towards universal medical image segmentation
Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, and Yiming Xiao
In International conference on medical image computing and computer-assisted intervention, 2024
@inproceedings{koleilat2024medclip,title={Medclip-sam: Bridging text and image towards universal medical image segmentation},author={Koleilat, Taha and Asgariandehkordi, Hojat and Rivaz, Hassan and Xiao, Yiming},booktitle={International conference on medical image computing and computer-assisted intervention},pages={643--653},year={2024},organization={Springer},}
