12 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 7 cited
Grounding DINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models
Hamza Rasaee, Taha Koleilat, Hassan Rivaz
Accurate and generalizable object segmentation in ultrasound imaging remains a significant challenge due to anatomical variability, diverse imaging protocols, and limited annotated…
eess.IV2021★ 12 cited
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
Hamza Rasaee, Hassan Rivaz
Ultrasound is a non-invasive imaging modality that can be conveniently used to classify suspicious breast nodules and potentially detect the onset of breast cancer. Recently, Convo…