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Muhammad Owais

Research Scientist at Khalifa University Center for Autonomous Robotic Systems (KUCARS)

Khalifa University

United Arab Emirates

Research Interests

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Professors in Medical Imaging

Articles (18)

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2027

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (4)

Kang Ryoung Park

Dongguk University

SOUTH KOREA

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Adnan Haider

Research-Scholar

Dongguk University

SOUTH KOREA

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Malika Bendechache

Assistant Professor/Lecturer Above the Bar

National University of Ireland Galway

IRELAND

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Naoufel Werghi

Professor

Khalifa University

UNITED ARAB EMIRATES

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Muhammad Owais

Research Interests

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Articles (18)

PromptMedCT: A Training-Free LLM-Guided Framework for Volumetric CT Data Realization with Quantifiable Disease Manifestations and Multi-tier Annotations

Meta-domain adaptive framework for efficient diagnostic assessment of lung infection using CT radiographs

A Comprehensive Review Tracing the Evolution of Volumetric Medical Imaging Analysis from Classic CNNs to Emerging AI-Agents

An end-to-end vision–language framework with LLM-based reasoning for decision-oriented tomato leaf disease management in greenhouse environments

Hyper-dimensional computing architectures for AI applications: A comprehensive survey of principles, performance, and future prospects

SAMConvFormer+LLM: Exploring synergistic fusion of Segment Anything Model with joint convolutional transformer and large language model to advance dense agricultural crop analysis

CT-Insight VLM: Multimodel Vision-Language Framework for Accurate, Explainable, and Label-Efficient Lung CT Analysis

A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis

Regressor driven incremental instance segmentation for contraband items identification

AgriVision: A Benchmark Dataset for Advancing Real-World Robotic Vision in Densely Fruited Blueberry Crop

Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features

Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm

Incremental convolutional transformer for baggage threat detection

Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning

Unified Synergistic Deep Learning Framework for Multimodal 2-D and 3-D Radiographic Data Analysis: Model Development and Validation

Volumetric Model Genesis in Medical Domain for the Analysis of Multimodality 2-D/3-D Data Based on the Aggregation of Multilevel Features

MDFU-Net: Multiscale Dilated Features Up-sampling Network for Accurate Segmentation of Tumor from Heterogeneous Brain Data

COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs

Collaborators (4)

Kang Ryoung Park

Adnan Haider

Malika Bendechache

Naoufel Werghi

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