Taha Koleilat

Orcid: 0009-0005-9655-0588

According to our database1, Taha Koleilat authored at least 12 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning.
CoRR, May, 2026

Sparse Spectral LoRA: Routed Experts for Medical VLMs.
CoRR, April, 2026

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation.
CoRR, February, 2026

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values.
Trans. Mach. Learn. Res., 2026

Medical image classification with KAN-integrated transformers and dilated neighborhood attention.
Appl. Soft Comput., 2026

2025
Singular Value Few-shot Adaptation of Vision-Language Models.
CoRR, September, 2025

GroundingDINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models.
CoRR, June, 2025

MedCLIP-SAMv2: Towards universal text-driven medical image segmentation.
Medical Image Anal., 2025

TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cyber-Social Consensus: Proposing a Human-in-the-Loop Algorithm for Automated Decision-Making in Multi-Stakeholder Settings.
Proceedings of the Australasian Conference on Information Systems, 2024


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