Publications: Dr Muhammad Salman Haleem

Rotbei S, Tseng WH, Merino-Barbancho B, Haleem MS, Montesinos L, Pecchia L, Fico G, Botta A ( 2024 ) . Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review . Expert Systems with Applications vol. 257 ,

Ellison M, Haleem MS, Bannister J ( 2024 ) . Qualifying the volumes of Mental Ill Health incident dealt with by Greater Manchester Police (GMP) . Presented at: N8 Policing research conference on mental health ,

Haleem MS, Cisuelo O, Andellini M, Castaldo R, Angelini M, Ritrovato M, Schiaffini R, Franzese M et al. ( 2024 ) . A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals . Biomedical Signal Processing and Control vol. 92 ,

Andellini M, Castaldo R, Cisuelo O, Franzese M, Haleem MS, Ritrovato M, Pecchia L, Schiaffini R ( 2024 ) . Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients . Diabetes Research and Clinical Practice vol. 212 ,

Cisuelo O, Haleem MS, Hattersley J, Pecchia L ( 2024 ) . Spectrogram-Driven Convolutional Neural Network for Real-Time Non-invasive Hyperglycaemia Detection in Paediatric Type-1 Diabetes via Wearable Sensors . Conference: MEDICON: Mediterranean Conference on Medical and Biological Engineering and Computing, CMBEBIH: International Conference on Medical and Biological Engineering from: 16/09/2023 to: 14/09/2023 ,

Sassi M, Haleem MS, Pecchia L ( 2024 ) . Spectrogram-based approach with convolutional neural network for human activity classification . Conference: Mediterranean Conference on Medical and Biological Engineering and Computing International Conference on Medical and Biological Engineering MEDICON 2023, CMBEBIH 2023: MEDICON’23 and CMBEBIH’23 from: 14/09/2023 to: 16/09/2023 ,

Haleem MS ( 2023 ) . Advances in Artificial Intelligence, Machine Learning and Deep Learning Applications . Electronics vol. 12 , ( 18 ) 3780 - 3780 .

Maccaro A, Pagliara SM, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem MS, Pecchia L ( 2023 ) . Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support . Scientific Reports vol. 13 , ( 1 ) 14322 - 14322 .

Haleem MS, Ekuban A, Antonini A, Pagliara S, Pecchia L, Allocca C ( 2023 ) . Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis . Electronics vol. 12 , ( 9 ) 1989 - 1989 .

Cisuelo O, Stokes K, Oronti IB, Haleem MS, Barber TM, Weickert MO, Pecchia L, Hattersley J ( 2023 ) . Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions . BMJ Open vol. 13 , ( 4 ) e067899 - e067899 .

Andellini M, Haleem S, Angelini M, Ritrovato M, Schiaffini R, Iadanza E, Pecchia L ( 2023 ) . Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol . Health and Technology vol. 13 , ( 1 ) 145 - 154 .

Jossou TR, Tahori Z, Houdji G, Medenou D, Lasfar A, Sanya F, Ahouandjinou MH, Pagliara SM et al. ( 2022 ) . N-Beats as an EHG Signal Forecasting Method for Labour Prediction in Full Term Pregnancy . Electronics vol. 11 , ( 22 ) 3739 - 3739 .

Haleem MS, Pecchia L ( 2022 ) . A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters . Conference: 2022 IEEE Symposium on Computers and Communications (ISCC) vol. 00 , 1 - 4 .

Allocca C, Jilali S, Ail R, Lee J, Kim B, Antonini A, Motta E, Schellong J et al. ( 2022 ) . Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines . Applied Sciences vol. 12 , ( 4 ) 1776 - 1776 .

Haleem MS, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M, Pecchia L ( 2021 ) . Time adaptive ECG driven cardiovascular disease detector . Biomedical Signal Processing and Control vol. 70 ,

Langton S, Bannister J, Ellison M, Haleem MS, Krzemieniewska-Nandwani K ( 2021 ) . Policing and Mental ill-health: Using Big Data to Assess the Scale and Severity of, and the Frontline Resources Committed to, mental ill-health-related calls-for-service . Policing A Journal of Policy and Practice vol. 15 , ( 3 ) 1963 - 1976 .

Ellison M, Bannister J, Do Lee W, Haleem MS ( 2021 ) . Understanding policing demand and deployment through the lens of the city and with the application of big data . Urban Studies vol. 58 , ( 15 ) 3157 - 3175 .

Lee WD, Haleem MS, Ellison M, Bannister J ( 2020 ) . The Influence of Intra-Daily Activities and Settings upon Weekday Violent Crime in Public Spaces in Manchester, UK . European Journal on Criminal Policy and Research vol. 27 , ( 3 ) 375 - 395 .

Haleem MS, Do Lee W, Ellison M, Bannister J ( 2020 ) . The ‘Exposed’ Population, Violent Crime in Public Space and the Night-time Economy in Manchester, UK . European Journal on Criminal Policy and Research vol. 27 , ( 3 ) 335 - 352 .

Haleem MS, Han L, Harding PJ, Ellison M ( 2019 ) . An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence . Conference: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) vol. 00 , 2279 - 2284 .

Haleem MS, Han L, Hemert JV, Li B, Fleming A, Pasquale LR, Song BJ ( 2017 ) . A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis . Journal of Medical Systems vol. 42 , ( 1 ) 20 - 20 .

Soroka A, Liu Y, Han L, Haleem MS ( 2017 ) . Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing . Procedia CIRP vol. 63 , 692 - 697 .

Han L, Haleem MS, Sobeih T, Liu Y, Soroka A, Han L ( 2017 ) . An Automated Cloud-based Big Data Analytics Platform for Customer Insights . Conference: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)287 - 292 .

Han L, Haleem MS, Taylor M ( 2016 ) . Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition . Emerging Trends and Advanced Technologies for Computational Intelligence , vol. 647 , Springer Nature

Haleem MS, Han L, Hemert JV, Fleming A, Pasquale LR, Silva PS, Song BJ, Aiello LP ( 2016 ) . Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images . Journal of Medical Systems vol. 40 , ( 6 ) 132 - 132 .

Haleem MS, Han L, van Hemert J, Fleming A ( 2015 ) . Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings . Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Conference: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) vol. 2015 , 4318 - 4321 .

Han L, Haleem MS, Taylor M ( 2015 ) . A Novel Computer Vision-Based Approach to Automatic Detection and Severity Assessment of Crop Diseases . Conference: 2015 Science and Information Conference (SAI)638 - 644 .

Haleem MS ( 2015 ) . Automatic extraction of retinal features to assist diagnosis of glaucoma disease .

Haleem MS, Han L, van Hemert J, Li B, Fleming A ( 2014 ) . Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases . IEEE Journal of Biomedical and Health Informatics vol. 19 , ( 4 ) 1472 - 1482 .

Haleem MS, Han L, van Hemert J, Li B, Fleming A ( 2014 ) . Superpixel Based Retinal Area Detection in SLO Images . Computer Vision and Graphics , vol. 8671 , Springer Nature

Haleem MS, Han L, van Hemert J, Li B ( 2013 ) . Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review . Computerized Medical Imaging and Graphics vol. 37 , ( 7-8 ) 581 - 596 .

Haleem MS, Han L, Li B, Nisbet A, Hemert JV, Verhoek M ( 2013 ) . Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases . Conference: Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications

Haleem MS, Haider MA, Yetik S ( 2011 ) . A TASK-BASED APPROACH TO PARAMETRIC IMAGING WITH DYNAMIC CONTRAST ENHANCED MRI . Conference: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro746 - 749 .

Haleem MS ( 2008 ) . Voice Controlled Automation System . Conference: 2008 IEEE International Multitopic Conference508 - 512 .