Muhammad Asad - Concepedia

Author

Muhammad Asad

City, University of London ORCID

Also Known As

Asad, Muhammad, Asad, Muhammad Hamza, M. As’ad, Muhammad Asad, Muhammad H. Asad, Muhammad Hamza Asad

Publications

812

Citations

H-Index

Concepts

All Affiliations

City, University of London University of Regina University of London University of Exeter

About

Muhammad Asad is an author at City, University of London specializing in engineering, machine vision, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	292
2	Medicine	3	3	281
3	Public Health	2	2	206
4	Health Sciences	1	1	11
5	Natural Sciences	1	1	11

Muhammad Asad

Publications

669

Citations

H-Index

Page 1

	Year	Citations
Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network Muhammad Asad, Abdul Bais Information Processing in Agriculture Convolutional Neural NetworkPrecision AgricultureEngineeringMachine LearningBotany	2019	183
DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI Atif Riaz, Muhammad Asad, Eduardo Alonso, Journal of Neuroscience Methods PsychiatryMedicineEnd-to-end Deep LearningNeuroinformaticsFunctional Connectivity	2020	147
Fusion of fMRI and non-imaging data for ADHD classification Atif Riaz, Muhammad Asad, Eduardo Alonso, Computerized Medical Imaging and Graphics Neuroimaging BiomarkersAdhdNeuropsychologyNeuroimaging ModalityPsychiatry	2017	111
Deep fMRI: AN end-to-end deep network for classification of fMRI data Atif Riaz, Muhammad Asad, Sheeraz Arif,	2018	61
End to End Segmentation of Canola Field Images Using Dilated U-Net Hafiz Sami Ullah, Muhammad Asad, Abdul Bais IEEE Access Convolutional Neural NetworkEngineeringMachine LearningEnd SegmentationImage Classification	2021	31
Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing Muhammad Asad, Abdul Bais IEEE Access Site Specific ManagementPrecision AgricultureEnvironmental MonitoringEngineeringLand Use	2020	27
iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis Ammad Ul Islam, Muhammad Jaleed Khan, Muhammad Asad, Data in Brief	2022	25
A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries Muhammad Asad, Azhar Mahmood, Muhammad Usman Tuberculosis Pulmonary TuberculosisEpidemiologyGlobal HealthPredictive AnalyticsTuberculosis Prevention	2020	23
Soil Surface Texture Classification Using RGB Images Acquired Under Uncontrolled Field Conditions Babalola Ekunayo-oluwabami Oreoluwa, Muhammad Asad, Abdul Bais IEEE Access Convolutional Neural NetworkPrecision AgricultureEngineeringLand UseUncontrolled Field Conditions	2023	18
Kinect depth stream pre-processing for hand gesture recognition Muhammad Asad, Charith Abhayaratne Hand TrackerMicrosoft KinectKinesiologyComputer VisionImage Analysis	2013	11

Page 1