Hassan Rivaz — accepted AI-conference papers

2026

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation

Taha Koleilat, Hojat Asgariandehkordi, Omid Nejatimanzari, Berardino Barile, Yiming Xiao, Hassan Rivaz

CVPR 2026

Medical image segmentation remains challenging due to limited annotations for training, ambiguous anatomical features, and domain shifts. While vision-language models such as CLIP offer strong cross-modal representations, their potential for dense, text-guided medical image segmentation remains unde

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2026

Sparse Spectral LoRA: Routed Experts for Medical VLMs

Omid Nejatimanzari, Hojat Asgariandehkordi, Taha Koleilat, Yiming Xiao, Hassan Rivaz

CVPR 2026

Large vision-language models (VLMs) excel on general benchmarks but often lack robustness in medical imaging, where heterogeneous supervision induces cross-dataset interference and sensitivity to data regime (i.e., how the supervisory signals are mixed). In realistic clinical workflows, data and tas

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2025

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models

Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao

CVPR 2025poster

Recent advancements in vision-language models (VLMs), such as CLIP, have demonstrated substantial success in self-supervised representation learning for vision tasks. However, effectively adapting VLMs to downstream applications remains challenging, as their accuracy often depends on time-intensive…

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2025

CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization

Soorena Salari, Arash Harirpoush, Hassan Rivaz, Yiming Xiao

ICCV 2025poster

Anatomical landmark detection in medical images is essential for various clinical and research applications, including disease diagnosis and surgical planning. However, manual landmark annotation is time-consuming and requires significant expertise. Existing deep learning (DL) methods often require…

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2017

Regularized tracking of shear-wave in ultrasound elastography

Mahmoud Derakhshan Horeh, Amir Asif, Hassan Rivaz

ICASSP 2017accepted

Ultrasound elastography involves imaging tissue while it undergoes deformation and inferring its mechanical properties from the deformation pattern. The initial deformation in the tissue is typically induced through an external mechanical force, for example, by exerting a slight pressure using an ul…

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