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Hamid Gholam Hosseini
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2020 – today
- 2024
[j27]Matin Khalili
, Hamid Gholam Hosseini, Andrew Lowe, Matthew M. Y. Kuo:
Motion artifacts in capacitive ECG monitoring systems: a review of existing models and reduction techniques. Medical Biol. Eng. Comput. 62(12): 3599-3622 (2024)- [c49]Ranpreet Kaur, Hamid Gholam Hosseini, Nada Hegazy, Radwa Essam Taha, Shereen Afifi:
Lesion Segmentation in Skin Cancer Images using Fusion Model via Deep Learning Networks. EMBC 2024: 1-4 - 2023
- [j26]Solmaz Rastegar, Hamid Gholam Hosseini, Andrew Lowe:
Hybrid CNN-SVR Blood Pressure Estimation Model Using ECG and PPG Signals. Sensors 23(3): 1259 (2023) - [c48]Ranpreet Kaur, Hamid Gholamhosseini:
Analyzing the Impact of Image Denoising and Segmentation on Melanoma Classification Using Convolutional Neural Networks. EMBC 2023: 1-4 - [c47]Ranpreet Kaur, Hamid Gholamhosseini:
Deep Learning Model with Atrous Convolutions for Improving Skin Cancer Classification. PSIVT 2023: 422-435 - 2022
- [j25]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images. BMC Medical Imaging 22(1): 103 (2022) - [j24]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Hairlines removal and low contrast enhancement of melanoma skin images using convolutional neural network with aggregation of contextual information. Biomed. Signal Process. Control. 76: 103653 (2022) - [j23]Qi Liu, Dehan Luo, Tengteng Wen, Hamid Gholamhosseini, Xiaofang Qiu, Jingshan Li:
POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network. Expert Syst. Appl. 199: 116997 (2022) - [j22]Ranpreet Kaur, Hamid Gholam Hosseini, Roopak Sinha:
Skin lesion segmentation using an improved framework of encoder-decoder based convolutional neural network. Int. J. Imaging Syst. Technol. 32(4): 1143-1158 (2022) - [j21]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images. Sensors 22(3): 1134 (2022) - 2021
- [j20]Mirza Mansoor Baig, Hamid Gholamhosseini, Jairo A. Gutiérrez, Ehsan Ullah, Maria Lindén:
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications. Appl. Clin. Inform. 12(01): 1-9 (2021) - [j19]Sara Abbaspour, Autumn Naber, Max Ortiz-Catalan, Hamid Gholamhosseini, Maria Lindén:
Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements. Sensors 21(16): 5677 (2021) - [c46]Solmaz Rastegar, Hamid Gholamhosseini, Andrew Lowe, Maria Lindén:
Continuous Blood Pressure Estimation From Non-Invasive Measurements Using Support Vector Regression. EMBC 2021: 1487-1490 - [c45]Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights. EMBC 2021: 3035-3038 - [c44]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images Using Modified and Improved Encoder-Decoder Architecture. ISGV 2021: 39-52 - [c43]Mohammad Norouzifard, Ali Nemati, Saeed Mollaee, Hamid Gholamhosseini, Joanna Black, Benjamin Thompson, Jason Turuwhenua:
A Comparison of Approaches for Synchronizing Events in Video Streams Using Audio. ISGV 2021: 262-272 - [c42]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Synthetic Images Generation Using Conditional Generative Adversarial Network for Skin Cancer Classification. TENCON 2021: 381-386 - [i3]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
SVM Classifier on Chip for Melanoma Detection. CoRR abs/2108.11957 (2021) - [i2]Shereen Afifi, Hamid Gholam Hosseini, Roopak Sinha:
A system on chip for melanoma detection using FPGA-based SVM classifier. CoRR abs/2109.14840 (2021) - [i1]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
Dynamic hardware system for cascade SVM classification of melanoma. CoRR abs/2112.05322 (2021) - 2020
- [j18]Sara Abbaspour, Maria Lindén, Hamid Gholamhosseini, Autumn Naber, Max Ortiz-Catalan:
Evaluation of surface EMG-based recognition algorithms for decoding hand movements. Medical Biol. Eng. Comput. 58(1): 83-100 (2020) - [j17]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
Dynamic hardware system for cascade SVM classification of melanoma. Neural Comput. Appl. 32(6): 1777-1788 (2020) - [j16]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
FPGA Implementations of SVM Classifiers: A Review. SN Comput. Sci. 1(3): 133 (2020) - [c41]Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. EMBC 2020: 1524-1527 - [c40]Mirza Mansoor Baig, Hamid Gholamhosseini, Farhan Ahmad:
A Usability and User-Experience Analysis of VitalsAssist: A mHealth Application to Monitor Vital Signs in Acute Care Settings. EMBC 2020: 5132-5135
2010 – 2019
- 2019
- [j15]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics J. 25(3) (2019) - [j14]Mirza Mansoor Baig, Shereen Afifi, Hamid Gholamhosseini, Farhaan Mirza:
A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living. J. Medical Syst. 43(8): 233:1-233:11 (2019) - [j13]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
A system on chip for melanoma detection using FPGA-based SVM classifier. Microprocess. Microsystems 65: 57-68 (2019) - [j12]Qin Long, Zhong Li, Bin Han, Hamid Gholam Hosseini, Huaying Zhou, Shumei Wang, Dehan Luo:
Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics. Sensors 19(3): 572 (2019) - [j11]Hui Li, Dehan Luo, Yunlong Sun, Hamid Gholamhosseini:
Classification and Identification of Industrial Gases Based on Electronic Nose Technology. Sensors 19(22): 5033 (2019) - [c39]Mirza Mansoor Baig, Hamid Gholamhosseini, Shereen Afifi, Farhaan Mirza:
Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. CONF-IRM 2019: 20 - [c38]Xiaona Jia, Farhaan Mirza, Mirza Mansoor Baig, Hamid Gholamhosseini:
A Cox-based Model for Predicting the Risk of Cardiovascular Disease. CONF-IRM 2019: 23 - [c37]Solmaz Rastegar Mansouri, Andrew Lowe, Hamid Gholamhosseini, Mirza Mansoor Baig:
Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using Continuous Wavelet Transform and Convolutional Neural Network. CONF-IRM 2019: 28 - [c36]Hamid Gholamhosseini, Mirza Mansoor Baig, Joseph Maratas, Farhaan Mirza, Maria Lindén:
Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. pHealth 2019: 91-96 - [c35]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
A Novel Medical Device for Early Detection of Melanoma. pHealth 2019: 122-127 - [c34]Solmaz Rastegar, Hamid Gholamhosseini, Andrew Lowe, Farhad Mehdipour, Maria Lindén:
Estimating Systolic Blood Pressure Using Convolutional Neural Networks. pHealth 2019: 143-149 - [c33]Mohammad Norouzifard, Ali Nemati, Anmar Abdul-Rahman, Hamid Gholamhosseini, Reinhard Klette:
A Fused Pattern Recognition Model to Detect Glaucoma Using Retinal Nerve Fiber Layer Thickness Measurements. PSIVT 2019: 1-12 - 2018
- [j10]Yunlong Sun, Dehan Luo, Hui Li, Chuchu Zhu, Ou Xu, Hamid Gholam Hosseini:
Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations. J. Electr. Comput. Eng. 2018: 1092718:1-1092718:9 (2018) - [c32]Mirza Mansoor Baig, Farhaan Mirza, Hamid Gholamhosseini, Jairo A. Gutiérrez, Ehsan Ullah:
Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. EMBC 2018: 4456-4459 - [c31]Alvis Cheuk M. Fong, Bernard Fong, P. Davey, Hamid Gholamhosseini, C. K. Li:
Interoperability and reliability of wearable healthcare devices for emergency care. ICCE 2018: 1-2 - [c30]Mohammad Norouzifard, Ali Nemati, Anmar Abdul-Rahman, Hamid Gholamhosseini, Reinhard Klette:
A Comparison of Transfer Learning Techniques, Deep Convolutional Neural Network and Multilayer Neural Network Methods for the Diagnosis of Glaucomatous Optic Neuropathy. ICS 2018: 627-635 - [c29]Mohammad Norouzifard, Amin Abdollahi Dehkordi, Mohammad Naderi Dehkordi, Hamid Gholamhosseini, Reinhard Klette:
Unsupervised Optic Cup and Optic Disk Segmentation for Glaucoma Detection by ICICA. I-SPAN 2018: 209-214 - [c28]Mohammad Norouzifard, Arpita Dawda, Anmar Abdul-Rahman, Hamid Gholamhosseini, Reinhard Klette:
Superpixel Segmentation Methods on Stereo Fundus Images and Disparity Map for Glaucoma Detection. IVCNZ 2018: 1-6 - [c27]Mohammad Norouzifard, Ali Nemati, Hamid Gholamhosseini, Reinhard Klette, Kouros Nouri-Mahdavi, Siamak Yousefi:
Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. IVCNZ 2018: 1-6 - [c26]Hamid Gholamhosseini, Mirza Mansoor Baig, Solmaz Rastegar, Maria Lindén:
Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio. pHealth 2018: 77-83 - [c25]Aasia A. Moqeem, Mirza Mansoor Baig, Hamid Gholamhosseini, Farhaan Mirza, Maria Lindén:
Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support. pHealth 2018: 189-193 - 2017
- [j9]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption. J. Medical Syst. 41(7): 115:1-115:9 (2017) - [j8]Huaying Zhou, Dehan Luo, Hamid Gholam Hosseini, Zhong Li, Jiafeng He:
Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges. Sensors 17(5): 1073 (2017) - [c24]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
SVM classifier on chip for melanoma detection. EMBC 2017: 270-274 - [c23]Md. Rajib Hasan, Hamid Gholamhosseini, Nurul I. Sarkar:
A new ensemble classifier for multivariate medical data. ITNAC 2017: 1-6 - 2016
- [c22]Peyman Sabouri, Hamid Gholamhosseini:
Lesion border detection using deep learning. CEC 2016: 1416-1421 - [c21]Hamid Gholamhosseini, Andries Meintjes, Mirza Mansoor Baig, Maria Lindén:
Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time. pHealth 2016: 84-89 - 2015
- [c20]Mirza Mansoor Baig, Hamid Gholamhosseini, Maria Lindén:
Tablet-based patient monitoring and decision support systems in hospital care. EMBC 2015: 1215-1218 - [c19]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly:
Integrated vital signs monitoring system using ubiquitous devices: Multiple physical signs detection and decision support for hospitalized older adults. EMBC 2015: 1219-1222 - [c18]Sara Abbaspour, Maria Lindén, Hamid Gholamhosseini:
ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA. pHealth 2015: 91-97 - [c17]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly, Maria Lindén:
Advanced Decision Support System for Older Adults. pHealth 2015: 235-240 - [c16]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
Hardware Acceleration of SVM-Based Classifier for Melanoma Images. PSIVT Workshops 2015: 235-245 - 2014
- [c15]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly, Ghodsi Kashfi:
A wireless patient monitoring system for hospitalized older adults: Acceptability, reliability and accuracy evaluation. BHI 2014: 330-333 - [c14]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly, Ghodsi Kashfi:
Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults. BHI 2014: 355-358 - [c13]Hamid Gholamhosseini, Mirza Mansoor Baig, Martin J. Connolly, Maria Lindén:
A multifactorial falls risk prediction model for hospitalized older adults. EMBC 2014: 3484-3487 - [c12]Peyman Sabouri, Hamid Gholamhosseini, Thomas Larsson, John Collins:
A cascade classifier for diagnosis of melanoma in clinical images. EMBC 2014: 6748-6751 - 2013
- [j7]Mirza Mansoor Baig, Hamid Gholamhosseini, Michael J. Harrison:
Fuzzy logic based anaesthesia monitoring systems for the detection of absolute hypovolaemia. Comput. Biol. Medicine 43(6): 683-692 (2013) - [j6]Mirza Mansoor Baig, Hamid Gholamhosseini:
Smart Health Monitoring Systems: An Overview of Design and Modeling. J. Medical Syst. 37(2): 9898 (2013) - [j5]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly:
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults. Medical Biol. Eng. Comput. 51(5): 485-495 (2013) - [c11]Mirza Mansoor Baig, Hamid Gholamhosseini:
Wireless remote patient monitoring in older adults. EMBC 2013: 2429-2432 - [c10]Peyman Sabouri, Hamid Gholamhosseini, John Collins:
Border Detection of Skin Lesions on a Single System on Chip. EMC/HumanCom 2013: 465-471 - 2011
- [j4]Chan-Hee Han, Si-Woong Lee, Hamid Gholamhosseini, Yun-Ho Ko:
Progressive Side Information Refinement Algorithm for Wyner-Ziv Codec. IEICE Trans. Inf. Syst. 94-D(8): 1641-1652 (2011) - [j3]Hakilo Sabit, Adnan Al-Anbuky, Hamid Gholamhosseini:
Data stream mining for wireless sensor networks environment: energy efficient fuzzy clustering algorithm. Int. J. Auton. Adapt. Commun. Syst. 4(4): 383-397 (2011) - [c9]Mirza Mansoor Baig, Hamid Gholamhosseini, Si-Woong Lee, Michael J. Harrison:
Detection and classification of hypovolaemia during anaesthesia. EMBC 2011: 357-360 - [c8]Md. Saiful Islam, Abbas Z. Kouzani, Xiujuan J. Dai, Wojtek P. Michalski, Hamid Gholamhosseini:
Comparison of performance parameters for conventional and localized surface plasmon resonance graphene biosensors. EMBC 2011: 1851-1854 - [c7]Hakilo Sabit, Adnan Al-Anbuky, Hamid Gholamhosseini:
Wireless Sensor Network Based Wildfire Hazard Prediction System Modeling. ANT/MobiWIS 2011: 106-114 - 2010
- [c6]Kang-San Lee, Hyun-Soo Kang, Hamid Gholamhosseini:
A Practical Approach for Calibration of Omnidirectional Stereo Cameras. ACIVS (1) 2010: 300-308
2000 – 2009
- 2008
- [j2]Hamid Gholam Hosseini, Dehan Luo, Guanggui Xu, Hongxiu Liu, Deena Benjamin:
Intelligent Fish Freshness Assessment. J. Sensors 2008: 628585:1-628585:8 (2008) - 2007
- [j1]Hamid Gholam Hosseini, Azra Alizad, Mostafa Fatemi:
Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography. Int. J. Biomed. Imaging 2007: 40980:1-40980:8 (2007) - 2006
- [c5]Jeff Kilby, Hamid Gholam Hosseini:
Extracting Effective Features of SEMG Using Continuous Wavelet Transform. EMBC 2006: 1704-1707 - [c4]Hamid Gholam Hosseini, Azra Alizad, Mostafa Fatemi:
Fusion of Vibro-acoustography Images and X-ray Mammography. EMBC 2006: 2803-2806 - 2005
- [c3]Chao Fan, Farhad Dadgostar, Abdolhossein Sarrafzadeh, Hamid Gholam Hosseini, Martin J. Johnson:
Facial image reconstruction using polygon approximation. SIP 2005: 565-569 - 2003
- [c2]Scott P. Overmyer, Hamid Gholam Hosseini, Chao Fan, Abdolhossein Sarrafzadeh:
A Facial Expression Analysis Component for Affective Tutoring Systems. ICWI 2003: 1003-1006 - [c1]Abdolhossein Sarrafzadeh, Hamid Gholam Hosseini, Chao Fan, Scott P. Overmyer:
Facial Expression Analysis for Estimating Learner?s Emotional State in Intelligent Tutoring Systems. ICALT 2003: 336-337
Coauthor Index
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