Muhammad Asad

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 59

Top Venues

City University London, UK (PHD)

Education History

City University London, UK

PHD

Publications

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR (2024)
Muhammad Hamza Rafique Bhatti, Nadeem Javaid, Babar Mansoor, Nabil Ali Alrajeh, Muhammad Aslam, Muhammad Asad
New Hybrid Deep Learning Models to Predict Cost From Healthcare Providers in Smart Hospitals. IEEE Access 11 (2023)
Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam
Deep Learning-Based Change Detection in Remote Sensing Images: A Review. Remote. Sens. 14 (4) (2022)
Ayesha Shafique, Muhammad Asad, Muhammad Aslam, Saima Shaukat, Guo Cao
Multi-hop similarity-based-clustering framework for IoT-Oriented Software-Defined wireless sensor networks. IET Wirel. Sens. Syst. 12 (2) (2022)
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. MLCN@MICCAI (2022)
Muhammad Asad, Ahmed Moustafa, Fethi A. Rabhi, Muhammad Aslam
THF: 3-Way Hierarchical Framework for Efficient Client Selection and Resource Management in Federated Learning. IEEE Internet Things J. 9 (13) (2022)
Mian Muhammad Sadiq Fareed, Shahid Zikria, Gulnaz Ahmed, Mui-Zzud-Din, Saqib Mahmood, Muhammad Aslam, Syeda Fizzah Jilani, Ahmad Moustafa, Muhammad Asad
ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans. IEEE Access 10 (2022)
Mohsan Ali, Ali Muhammad, Muhammad Asad, Makhdoom Sajawal, Charalampos Alexopoulos, Yannis Charalabidis
Towards Perso-Arabic Urdu Language Hate Detection Using Machine Learning: A Comparative Study Based on a Large Dataset and Time-Complexity. PCI (2022)
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. CoRR (2022)
Muhammad Asad, Reuben Dorent, Tom Vercauteren
FastGeodis: Fast Generalised Geodesic Distance Transform. CoRR (2022)
Muhammad Aslam, Dengpan Ye, Aqil Tariq, Muhammad Asad, Muhammad Hanif, David Ndzi, Samia Allaoua Chelloug, Mohamed Abd Elaziz, Mohammed Abdulaziz Aide Al-qaness, Syeda Fizzah Jilani
Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT. Sensors 22 (7) (2022)
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI (2022)
Muhammad Asad, Saad B. Qaisar
Energy Efficient QoS-Based Access Point Selection in Hybrid WiFi and LiFi IoT Networks. IEEE Trans. Green Commun. Netw. 6 (2) (2022)
Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR (2022)
Muhammad Asad, Lucas Fidon, Tom Vercauteren
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. CoRR (2022)
Muhammad Asad, Ayyaz Hussain, Usama Mir
Low complexity hybrid holistic - landmark based approach for face recognition. Multim. Tools Appl. 80 (20) (2021)
Ahmed Moustafa, Muhammad Asad, Saima Shaukat, Alexander Norta
PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated Learning. AINA (2) (2021)
TagyAldeen Mohamed, Ahmed Moustafa, Takayuki Ito, Muhammad Asad
Toward Agent-based Interactive Systems to Support Rehabilitation Process. CSCWD (2021)
Muhammad Asad, Ahmed Moustafa, Takayuki Ito
Federated Learning Versus Classical Machine Learning: A Convergence Comparison. CoRR (2021)
Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam
Evaluating the Communication Efficiency in Federated Learning Algorithms. CSCWD (2021)
Muhammad Asad, Ahmed Moustafa, Muhammad Aslam
CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning. Appl. Soft Comput. 104 (2021)
Muhammad Asad, Zahid Halim, Muhammad Waqas, Shanshan Tu
An In-ad contents-based viewability prediction framework using Artificial Intelligence for Web Ads. Artif. Intell. Rev. 54 (7) (2021)
Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad
Machine Learning Based SDN-enabled Distributed Denial-of-Services Attacks Detection and Mitigation System for Internet of Things. ML4CS (1) (2020)
Muhammad Asad, Ahmed Moustafa, Chao Yu
A Critical Evaluation of Privacy and Security Threats in Federated Learning. Sensors 20 (24) (2020)
Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam
Evaluating the Communication Efficiency in Federated Learning Algorithms. CoRR (2020)
Muhammad Asad, Saad B. Qaisar, Abdul Basit
Client Based Access Layer QoS Provisioning in Beyond 5G IoT Networks. CommNet (2020)
Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad
Adaptive Machine learning: A Framework for Active Malware Detection. MSN (2020)
Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. ICPR (2020)
Muhammad Asad, Abdul Basit, Saad B. Qaisar, Mudassar Ali
Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks. IEEE Access 8 (2020)
Muhammad Asad, Muhammad Shahzaib, Yusra Abbasi, Muhammad Rafi
A Long-Short-Term-Memory Based Model for Predicting ATM Replenishment Amount. ACIT (2020)
Muhammad Asad, Muhammad Asim, Talha Javed, Mirza Omer Beg, Hasan Mujtaba, Sohail Abbas
DeepDetect: Detection of Distributed Denial of Service Attacks Using Deep Learning. Comput. J. 63 (7) (2020)
Babar Zeb, Aimal Khan, Younas Khan, Muhammad Faisal Masood, Iqra Tahir, Muhammad Asad
Towards the Selection of the Best Machine Learning Techniques and Methods for Urinalysis. ICMLC (2020)
Ayesha Shafique, Guo Cao, Muhammad Aslam, Muhammad Asad, Dengpan Ye
Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT). Sensors 20 (12) (2020)
Muhammad Asad, Saad B. Qaisar, Abdul Basit
Client-Centric Access Device Selection for Heterogeneous QoS Requirements in Beyond 5G IoT Networks. IEEE Access 8 (2020)
Muhammad Asad, Usman Qamar, Babar Zeb, Aimal Khan, Younas Khan
Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients. ICMLC (2019)
Younas Khan, Usman Qamar, Muhammad Asad, Babar Zeb
Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis. IntelliSys (1) (2019)
Muhammad Asad, Muhammad Aslam, Nianmin Yao, Naeem Ayoub, Khalid Ibrahim Qureshi, Ehsan Ullah Munir
IoT enabled adaptive clustering based energy efficient routing protocol for wireless sensor networks. Int. J. Ad Hoc Ubiquitous Comput. 32 (2) (2019)
Muhammad Asad, Usman Qamar
A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) Using Artificial Neural Network (ANN). IntelliSys (2) (2019)
Muhammad Asad, Younas Khan, Usman Qamar, Saba Bashir
Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients. IntelliSys (2) (2019)
Muhammad Asad, Usman Qamar, Aimal Khan, Rahmat Ullah Safdar
A Systematic Literature Review of Continuous Blood Glucose Monitoring and Suggesting the Quantity of Insulin or Artificial Pancreas (AP) for Diabetic Type 1 Patients. ICMLC (2019)
Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR (2018)
Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI (2018)
Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65 (2018)
Muhammad Asad, Muhammad Aslam
Heuristic Path-Reconfiguration Algorithm Using Multi-hop Opportunistic Routing in WSNs. FIT (2018)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI (2018)
Naeem Ayoub, Muhammad Asad, Muhammad Aslam, Zhenguo Gao, Ehsan Ullah Munir, Rachida Tobji
MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks. PACRIM (2017)
Muhammad Aslam, Fan Wang, Xiaopeng Hu, Muhammad Asad, Ehsan Ullah Munir
Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks. J. Sensors 2017 (2017)
S. M. Masudur Rahman Al-Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Gregory G. Slabaugh
Patch-based corner detection for cervical vertebrae in X-ray images. Signal Process. Image Commun. 59 (2017)
Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Medical Imaging: Computer-Aided Diagnosis (2017)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI (2017)
Anfisa Lazareva, Muhammad Asad, Gregory G. Slabaugh
Learning to Deblur Adaptive Optics Retinal Images. ICIAR (2017)
Muhammad Aslam, Fan Wang, Zefeng Lv, Muhammad Asad, Samra Zafar, Ehsan Ullah Munir, Xiaopeng Hu
Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs. PACRIM (2017)
Muhammad Asad, Gregory G. Slabaugh
SPORE: Staged Probabilistic Regression for Hand Orientation Inference. Comput. Vis. Image Underst. 161 (2017)
Muhammad Asad, Guang Yang, Gregory G. Slabaugh
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging. ISBI (2016)
Tahira Iqbal, Moniba Iqbal, Muhammad Asad, Aihab Khan
A source code quality analysis approach. SKIMA (2016)
Muhammad Asad, Greg G. Slabaugh
Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops (2016)
S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh
Cervical vertebral corner detection using haar-like features and modified hough forest. IPTA (2015)
Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Gregory G. Slabaugh
Generatinga 3D hand model from frontal color and range scans. ICIP (2015)
S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Gregory G. Slabaugh
Hough Forest-based Corner Detection for Cervical Spine Radiographs. MIUA (2015)
Muhammad Asad, Greg G. Slabaugh
Hand Orientation Regression Using Random Forest for Augmented Reality. AVR (2014)
Muhammad Aslam, Ehsan Ullah Munir, Muhammad Bilal, Muhammad Asad, Asad Ali, Tauseef Shah, Syed Bilal
HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs. AINA (2014)
Muhammad Asad, Charith Abhayaratne
Kinect depth stream pre-processing for hand gesture recognition. ICIP (2013)
Muhammad Asad, Waseem Ikram
Smartphone based guidance system for visually impaired person. IPTA (2012)
Noor Ul Amin, Muhammad Asad, Nizamuddin, Shehzad Ashraf Chaudhry
An authenticated key agreement with rekeying for secured body sensor networks based on hybrid cryptosystem. ICNSC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Asad