40 citations · 64 across the 3 of their papers we have counts for
5 papers
RBA: A Read-out Basis Adapter for Parameter-Efficient Interactive OCTA Vessel Segmentation with SEEM
Jaafar M. Al-Ghabban, Mohammad Reza Mohammadi
Retinal disease monitoring with optical coherence tomography angiography (OCTA) relies on segmentation of vessels and the foveal avascular zone (FAZ). Promptable models such as SEE…
Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation
Amirhossein Movahedisefat, Amirreza Fateh, Mohammad Reza Mohammadi
Semantic segmentation in medical imaging is a critical yet challenging task due to data scarcity and high variability across modalities. While foundation models like the Segment An…
Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
Aysan Ghayouri Pirsoltan, Shima Babakordi, Mohammad Reza Mohammadi
Accurate breast cancer classification from mammography requires effective integration of complementary information from craniocaudal (CC) and mediolateral oblique (MLO) views, whic…
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh, Mohammad Reza Mohammadi, Mohammad Reza Jahed Motlagh
Few-shot Semantic Segmentation addresses the challenge of segmenting objects in query images with only a handful of annotated examples. However, many previous state-of-the-art meth…
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari, Amirreza Fateh, Mohammad Reza Mohammadi
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metr…