35 citations · 56 across the 8 of their papers we have counts for
6 papers · 1 filter
DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation
Bahram Mohammadi, Yanqiu Wu, Vu Minh Hieu Phan +6
Accurate brain tumor segmentation from MRI scans is critical for diagnosis and treatment planning. Despite the strong performance of recent deep learning approaches, two fundamenta…
Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts
Bahram Mohammadi, Ta Duc Huy, Afrouz Sheikholeslami +8
Brain tumor segmentation remains challenging because the three standard sub-regions, i.e., whole tumor (WT), tumor core (TC), and enhancing tumor (ET), often exhibit ambiguous visu…
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models
Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi +3
The remote embodied referring expression (REVERIE) task requires an agent to navigate through complex indoor environments and localize a remote object specified by high-level instr…
Augmented Commonsense Knowledge for Remote Object Grounding
Bahram Mohammadi, Yicong Hong, Yuankai Qi +3
The vision-and-language navigation (VLN) task necessitates an agent to perceive the surroundings, follow natural language instructions, and act in photo-realistic unseen environmen…
Image/Video Deep Anomaly Detection: A Survey
Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
The considerable significance of Anomaly Detection (AD) problem has recently drawn the attention of many researchers. Consequently, the number of proposed methods in this research…
G2D: Generate to Detect Anomaly
Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki +3
In this paper, we propose a novel method for irregularity detection. Previous researches solve this problem as a One-Class Classification (OCC) task where they train a reference mo…