75 citations · 226 across the 24 of their papers we have counts for
24 papers
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
Mobina Mansoori, Sajjad Shahabodini, Farnoush Bayatmakou +3
Using massive datasets, foundation models are large-scale, pre-trained models that perform a wide range of tasks. These models have shown consistently improved results with the int…
The Missing Point in Vision Transformers for Universal Image Segmentation
Sajjad Shahabodini, Mobina Mansoori, Farnoush Bayatmakou +3
Image segmentation remains a challenging task in computer vision, demanding robust mask generation and precise classification. Recent mask-based approaches yield high-quality masks…
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei +2
Early diagnosis and treatment of polyps during colonoscopy are essential for reducing the incidence and mortality of Colorectal Cancer (CRC). However, the variability in polyp char…
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
S. Kawa Atapour, S. Jamal SeyedMohammadi, S. Mohammad Sheikholeslami +3
Recently pre-trained Foundation Models (FMs) have been combined with Federated Learning (FL) to improve training of downstream tasks while preserving privacy. However, deploying FM…
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei +2
Polyp segmentation plays a crucial role in the early detection and diagnosis of colorectal cancer. However, obtaining accurate segmentations often requires labor-intensive annotati…
KnFu: Effective Knowledge Fusion
S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei +1
Federated Learning (FL) has emerged as a prominent alternative to the traditional centralized learning approach. Generally speaking, FL is a decentralized approach that allows for…