سامانه پژوهشی دانشگاه خلیج فارس | حبيب رستمي

نام و نام خانوادگی	حبیب رستمی
شغل	عضو هیئت علمی دانشگاه خلیج فارس / دانشکده مهندسی سیستم های هوشمند و علوم داده / گروه مهندسی کامپیوتر
تحصیلات	دکترای تخصصی / کامپیوتر
وبسایت	—
پست الکترونیک	habib [at] pgu [dot] ac [dot] ir

	عنوان	مجله
1	Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging	INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY 35 (2025) 15
2	Multi-modal classification of breast cancer lesions in Digital Mammography and contrast enhanced spectral mammography images	COMPUTERS IN BIOLOGY AND MEDICINE 183 (2024) 25
3	Automatic extraction of lightweight and efficient neural network architecture of heavy convolutional architectures to predict microsatellite instability from hematoxylin and eosin histology in gastric cancer	NEURAL COMPUTING & APPLICATIONS 36 (2024) 15295–15321
4	A convolutional neural network-based system for fully automatic segmentation of whole-body [68Ga]Ga-PSMA PET images in prostate cancer	EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 51 (2023) 1476-1487
5	A cost-effective LoRaWAN-based IoT localization method using fixed reference nodes and dual-slope path-loss modeling	Internet of Things 24 (2023) 16
6	Quantum machine learning based on continuous variable single-photon states: an elementary foundation for quantum neural networks	Quantum Information Processing 22 (2023) 22
7	The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review	APPLIED SOFT COMPUTING 147 (2023) 110817
8	Incremental deep learning training approach for lesion detection and classification in mammograms	Cybernetics and Physics 11 (2022) 10
9	مسیریابی های توسعه یافته مبتنی بر ناحیه بندی عمق و جلورانی بردار محور در شبکه های حسگر صوتی زیرآبی جهت بهبود مصرف انرژی	دریا فنون 9 (1401) 18-31
10	Artificial intelligence-based PET image acquisition and reconstruction	Clinical and Translational Imaging - (2022) -
11	GNSS-Free Outdoor Localization Techniques for Resource-Constrained IoT Architectures: A Literature Review	Applied Sciences 11 (2021) 32
12	مروری بر روشهای مسیریابی انرژی آگاه مبتنی بر ناحیهبندی فیزیکی در شبکههای حسگر صوتی متراکم و اینترنت اشیاء زیرآبی	علوم و فناوری دریا 25 (1400) 15
13	LEAESN: Predicting DDoS attack in healthcare systems based on Lyapunov Exponent Analysis and Echo State Neural Networks	MULTIMEDIA TOOLS AND APPLICATIONS 1181: Multimedia-based Healthcare Systems using Co (2021) 1-22
14	Fast multi-resolution occlusion: a method for explaining and understanding deep neural networks	APPLIED INTELLIGENCE 2020 (2020) 25
15	Design of a reservoir for cloud-enabled echo state network with high clustering coefficient	EURASIP Journal on Wireless Communications and Networking (2020) ،
16	Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images	COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020) ،
17	A Model to Improve the Performance of Intrusion Detection System Based on the Genetic Algorithm	International Journal of Advanced Science and Technology (2019) 143،155
18	A Tutorial and Performance Analysis on ENVI Tools for SAR Image Despeckling	Current Signal Transduction Therapy (2018) 1،8
19	Feature Extraction in Fractional Fourier Domain for Classification of Passive Sonar Signals	Journal of Signal Processing Systems for Signal Image and Video Technology (2018) ،
20	Enhancing the Binary Watermark- Based Data Hiding Scheme Using an Interpolation-Based Approach for Optical Remote Sensing Images	INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS (2018) ،
21	Efficient routing for dense UWSNs with high-speed mobile nodes using spherical divisions	JOURNAL OF SUPERCOMPUTING (2018) ،
22	Distributed random cooperation for VBF-based routing in high-speed dense underwater acoustic sensor networks	JOURNAL OF SUPERCOMPUTING (2018) 6184،6200
23	statistical image fusion for HR colorizing in landsat sensor based on spatial estimation	JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS (2017) ،
24	Application of Artificial Neural Network–Particle Swarm Optimization Algorithm for Prediction of Gas Condensate Dew Point Pressure and Comparison With Gaussian Processes Regression–Particle Swarm Optimization Algorithm	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2016) ،
25	Pgu-Face: A dataset of partially covered facial images	Data in Brief (2016) 288،291
26	Prediction of Wax Precipitation in Crude Oil Systems Using Gaussian Processes	Energy Sources Part A-Recovery Utilization and Environmental Effects (2015) ،
27	Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2015) ،
28	Recommend top-k most downloaded files in the chord-based P2P file-sharing system	Peer-to-Peer Networking and Applications (2015) ،
29	SCESN, SPESN, SWESN: Three recurrent neural echo state networks with clustered reservoirs for prediction of nonlinear and chaotic time series	APPLIED INTELLIGENCE (2015) ،
30	A New Support Vector Machine and Artificial Neural Networks for Prediction of Stuck Pipe in Drilling of Oil Fields	JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2014) ،
31	Application of evolutionary Gaussian processes regression by particle swarm optimization for prediction of dew point pressure in gas condensate reservoirs	NEURAL COMPUTING & APPLICATIONS (2014) ،
32	ODMA: a novel swarm-evolutionary metaheuristic optimizer inspired by open source development model and communities	SOFT COMPUTING (2014) ،
33	Label switched protocol routing with guaranteed bandwidth and end to end path delay in MPLS networks	JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2014) ،
34	The Association Thermodynamics Modeling of Asphaltene Precipitation	PETROLEUM SCIENCE AND TECHNOLOGY (2014) 51،60
35	Application of hybrid neural particle swarm optimization algorithm for prediction of MMP	FUEL (2014) ،
36	New method for prediction and solving the problem of drilling fluid loss using modular neural network and particle swarm optimization algorithm	Petroleum Exploration and Production Technology (2014) ،
37	An optimal time algorithm for minimum linear arrangement of chord graphs	INFORMATION SCIENCES (2013) ،
38	Developing a Scaling Equation as a Function of Pressure and Temperature to Determine the Amount of Asphaltene Precipitation	PETROLEUM SCIENCE AND TECHNOLOGY (2013) ،
39	Prediction of Undersaturated Crude Oil Density Using Gaussian Process Regression	PETROLEUM SCIENCE AND TECHNOLOGY (2013) 418،427
40	Prediction of Asphaltene Precipitation in Live and Tank Crude Oil Using Gaussian Process Regression	PETROLEUM SCIENCE AND TECHNOLOGY (2013) 913،922
41	The Prediction of the Density of Undersaturated Crude Oil Using Multilayer Feed-Forward Back-Propagation Perceptron	PETROLEUM SCIENCE AND TECHNOLOGY (2012) ،

حبیب رستمی