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Anum Masood

Assistant Professor/ Dr

Norwegian University of Science and Technology

Norway

Research Interests

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Professors in Norway Professors in Medical Imaging Medical Imaging professors in Norway

Articles (21)

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2026

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2024

Collaborators (11)

Muhammad Shahid Anwar

Research Associate Professor

Shenzhen University

CHINA

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Muhammad Umair Ali

Sejong University

SOUTH KOREA

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Erik Cambria

Professor

Nanyang Technological University (NTU)

SINGAPORE

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Vijay Govindarajan

Colorado State University

UNITED STATES

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Leila Jamel

princess nourah bint abdulrahman university

SAUDI ARABIA

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Nouf Abdullah Almujally

Assistant Professor

princess nourah bint abdulrahman university

SAUDI ARABIA

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Omar Alqahtani

Assistant Professor

king khalid university

SAUDI ARABIA

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Mueen Uddin

Associate Professor

University of Doha for Science & Technology

QATAR

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Lip Yee Por

Professor

University of Malaya

MALAYSIA

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Shalli Rani

Professor

Chitkara University

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Amir Hussain

Chair Professor of AI

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Anum Masood

Research Interests

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Articles (21)

Coherence-Driven Edge Intelligence for Trustworthy Vehicular Low-Altitude Internet of Things Networks

Hierarchical federated learning with paillier encryption: synergistic approach for secure analytics of sensitive healthcare data

Responsible AI in healthcare: Mitigating hallucinations and enhancing multimodal fusion - based reasoning in medical imaging

Causal continual unlearning with disentangled anomaly representations for private industrial vision

TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis

Core unlearning: A multi-modal gradient-efficient architecture for exact and approximate model rewriting

Cross-modal invariant learning with latent diffusion for reliable medical diagnosis under dynamic shifts

Q-AudioShield: Quantum-Resilient Audio Watermarking and Authentication Framework for Secure CIoT Multimedia Streams

xMagNet: Dynamic magnification-aware fusion with uncertainty quantification for robust breast cancer histopathology

DGAN-MPCC: A Novel Dual-GAN Enhanced Multi-Positive Contrastive Clustering Method for Omics Data

Generative AI-Driven Liver Reconstruction for Healthcare Applications in Consumer Electronics With Diffusion Model and Graph Neural Network

TeleXAI-R: A Real-Time Explainable AI Model for Remote Patient Risk Stratification Using IoT-Integrated Consumer Devices

Optimized Deep Learning for Intrusion Detection in Federated IoT Environments

Semantic‐Aware UAV‐IRS Control for Cooperative V2X Perception Using Label‐Derived Context

AI‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare

Quantum Federated Reinforcement Learning‐Based Traffic Offloading and Resource Allocation for RSMA‐Enabled Space–Air–Ground Integrated Networks

Toward Smart 5G and 6G: Standardization of AI-Native Network Architectures and Semantic Communication Protocols

TriDermCancerNet: A hybrid deep learning framework for skin cancer classification

A Novel Network-Level Fused Self-Attention Deep Neural Network for Cervical Cancer Classification from Cervicography Images

A novel deep semantic- and vision-based self-attention architecture for skin cancer classification

Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization

Collaborators (11)

Muhammad Shahid Anwar

Muhammad Umair Ali

Erik Cambria

Vijay Govindarajan

Leila Jamel

Nouf Abdullah Almujally

Omar Alqahtani

Mueen Uddin

Lip Yee Por

Shalli Rani

Amir Hussain

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