Portability: A New Challenge on Designing Family Image Database. - Mohammad Mahdi Dehshibi; Azam Bastanfard (IPCV, 2010)

LPT: Eye Features Localizer in an N-Dimensional Image Space. - Mohammad Mahdi Dehshibi; Azam Bastanfard; Alireza Abdi Kelishami (IPCV, 2010)

A new algorithm for age recognition from facial images. - Mohammad Mahdi Dehshibi; Azam Bastanfard (Signal Process., 2010)

Shoulder Point Detection: A Fast Geometric Data Fitting Algorithm. - Hadi Mansourifar; Mohammad Mahdi Dehshibi; Azam Bastanfard (CW, 2011)

Facial family similarity recognition using Local Gabor Binary Pattern Histogram Sequence. - Mohammad Mahdi Dehshibi; Jamshid Shanbehzadeh; Meysam Alavi (HIS, 2012)

Counting the number of cells in immunocytochemical images using genetic algorithm. - Marjan Ramin; Payam Ahmadvand; Alireza Sepas-Moghaddam; Mohammad Mahdi Dehshibi (HIS, 2012)

A novel hybrid algorithm for optimization in multimodal Dynamic environments. - Alireza Sepas-Moghaddam; Alireza Arabshahi; Danial Yazdani; Mohammad Mahdi Dehshibi (HIS, 2012)

A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach. - Danial Yazdani; Alireza Arabshahi; Alireza Sepas-Moghaddam; Mohammad Mahdi Dehshibi (HIS, 2012)

Ad-hoc Ma'qeli Script Generation Using Block Cellular Automata. - Seyyed Amir Hadi Minoofam; Mohammad Mahdi Dehshibi; Azam Bastanfard; Parvin Eftekhari (J. Cell. Autom., 2012)

Kernel-based Persian viseme clustering. - Mohammad Mahdi Dehshibi; Meysam Alavi; Jamshid Shanbehzadeh (HIS, 2013)

Kernel-based object tracking using particle filter with incremental Bhattacharyya similarity. - Mohammad Mahdi Dehshibi; Amir Vafanezhad; Jamshid Shanbehzadeh (HIS, 2013)

Clustering Persian viseme using phoneme subspace for developing visual speech application. - Mohammad Aghaahmadi; Mohammad Mahdi Dehshibi; Azam Bastanfard; Mahmood Fazlali (Multim. Tools Appl., 2013)

Linear principal transformation: toward locating features in N-dimensional image space. - Mohammad Mahdi Dehshibi; Mahmood Fazlali; Jamshid Shanbehzadeh (Multim. Tools Appl., 2014)

Optimized SIFT: An efficient algorithm for matching medical products images. - Arezoo Abdollahi; Alireza Tavakoli Targhi; Mohammad Mahdi Dehshibi (ICDIM, 2015)

HOG and LBP: Towards a robust face recognition system. - Mohsen Ghorbani; Alireza Tavakoli Targhi; Mohammad Mahdi Dehshibi (ICDIM, 2015)

MedLab: Medical laboratory test document analysis using HoG and SVM. - Ali Samei; Alireza Tavakoli Targhi; Mohammad Mahdi Dehshibi (ICDIM, 2015)

Art gallery in hand: Towards creating a mobile application for retrieving painting information. - Meraj Yousefi; Pouya Zarmehr; Alireza Tavakoli Targhi; Mohammad Mahdi Dehshibi (ICDIM, 2015)

On Growing Persian Words with L-Systems: Visual Modeling of Neyname. - Mohammad Mahdi Dehshibi; Ali Shirmohammadi; Andrew Adamatzky (Int. J. Image Graph., 2015)

On Complexity of Persian Orthography: L-Systems Approach. - Nassim Taghipour; Hamid Haj Seyyed Javadi; Mohammad Mahdi Dehshibi; Andrew Adamatzky (Complex Syst., 2016)

Metamorphic malware detection using opcode frequency rate and decision tree. - Mahmood Fazlali; Peyman Khodamoradi; Farhad Mardukhi; Masoud Nosrati; Mohammad Mahdi Dehshibi (Int. J. Inf. Secur. Priv., 2016)

A hybrid bio-inspired learning algorithm for image segmentation using multilevel thresholding. - Mohammad Mahdi Dehshibi; Mohamad Sourizaei; Mahmood Fazlali; Omid Talaee; Hossein Samadyar; Jamshid Shanbehzadeh (Multim. Tools Appl., 2017)

Coarse-grained correspondence-based ancient Sasanian coin classification by fusion of local features and sparse representation-based classifier. - Seyyedeh-Sahar Parsa; Mohamad Sourizaei; Mohammad Mahdi Dehshibi; Reza Esmaeilzadeh Shateri; Mohammad Reza Parsaei (Multim. Tools Appl., 2017)

Exploring Tehran with excitable medium. - Andrew Adamatzky; Mohammad Mahdi Dehshibi (CoRR, 2018)

On complexity of post-processing in analyzing GATE-driven X-ray spectrum. - Neda Gholami; Mohammad Mahdi Dehshibi; Mahmood Fazlali; Antonio Rueda-Toicen; Hector Zenil; Andrew Adamatzky (CoRR, 2018)

A robust image-based cryptology scheme based on cellular non-linear network and local image descriptors. - Mohammad Mahdi Dehshibi; Jamshid Shanbehzadeh; Mir Mohsen Pedram (CoRR, 2018)

Exploring Tehran with Excitable Medium. - Andrew Adamatzky; Mohammad Mahdi Dehshibi (From Parallel to Emergent Computing, 2019)

On complexity of branching droplets in electrical field. - Mohammad Mahdi Dehshibi; Jitka Cejková; Dominik Svara; Andrew Adamatzky (CoRR, 2019)

VICSOM: VIsual Clues from SOcial Media for psychological assessment. - Mohammad Mahdi Dehshibi; Gerard Pons 002; Bita Baiani; David Masip (CoRR, 2019)

Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems. - Mahmood Fazlali; Sara Moazezi Eftekhar; Mohammad Mahdi Dehshibi; Hadi Tabatabaee Malazi; Masoud Nosrati (CoRR, 2019)

Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification. - Mohammad Mahdi Dehshibi; Jamshid Shanbehzadeh (Vis. Comput., 2019)

A supervised active learning method for identifying critical nodes in Wireless Sensor Network. - Behnam Ojaghi Kahjogh; Mohammad Mahdi Dehshibi (CoRR, 2020)

A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach. - Neda Gholami; Mohammad Mahdi Dehshibi; Andrew Adamatzky; Antonio Rueda-Toicen; Hector Zenil; Mahmood Fazlali; David Masip (J. Inf. Process., 2020)

A robust image-based cryptology scheme based on cellular nonlinear network and local image descriptors. - Mohammad Mahdi Dehshibi; Jamshid Shanbehzadeh; Mir Mohsen Pedram (Int. J. Parallel Emergent Distributed Syst., 2020)

A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (IEEE Access, 2021)

Reactive fungal wearable. - Andrew Adamatzky; Anna Nikolaidou; Antoni Gandia; Alessandro Chiolerio; Mohammad Mahdi Dehshibi (Biosyst., 2021)

Electrical activity of fungi: Spikes detection and complexity analysis. - Mohammad Mahdi Dehshibi; Andrew Adamatzky (Biosyst., 2021)

On stimulating fungi Pleurotus ostreatus with Cortisol. - Mohammad Mahdi Dehshibi; Alessandro Chiolerio; Anna Nikolaidou; Richard Mayne; Antoni Gandia; Mona Ashtari; Andrew Adamatzky (CoRR, 2021)

Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (COINS, 2022)

Detecting Hate Speech Against Athletes in Social Media. - Dana Alsagheer; Hadi Mansourifar; Mohammad Mahdi Dehshibi; Weidong Shi (IDSTA, 2022)

Fungal electronics. - Andrew Adamatzky; Phil Ayres; Alexander E. Beasley; Alessandro Chiolerio; Mohammad Mahdi Dehshibi; Antoni Gandia; Elena Albergati; Richard Mayne; Anna Nikolaidou; Nic Roberts; Martin Tegelaar; Michail-Antisthenis I. Tsompanas; et al. (Biosyst., 2022)

Living wearables: Bacterial reactive glove. - Alessandro Chiolerio; Mohammad Mahdi Dehshibi; Diego Manfredi; Andrew Adamatzky (Biosyst., 2022)

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0. - Max Talanov; Jordi Vallverdú; Andrew Adamatzky; Alexander S. Toschev; Alina Suleimanova; Alexey Leukhin; Ann Posdeeva; Yulia Mikhailova; Alice Rodionova; Alexey N. Mikhaylov; Alexander Serb; Sergey Shchanikov; et al. (CoRR, 2022)

On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. - Gereziher Adhane; Mohammad Mahdi Dehshibi; David Masip (IEEE J. Sel. Top. Signal Process., 2022)

Molecular Collective Response and Dynamical Symmetry Properties in Biopotentials of Superior Plants: Experimental Observations and Quantum Field Theory Modeling. - Alessandro Chiolerio; Mohammad Mahdi Dehshibi; Giuseppe Vitiello; Andrew Adamatzky (Symmetry, 2022)

A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer's Disease Using Structural MRI Images. - Mona Ashtari-Majlan; Abbas Seifi; Mohammad Mahdi Dehshibi (IEEE J. Biomed. Health Informatics, 2022)

Reactive Fungal Wearable. - Andrew Adamatzky; Anna Nikolaidou; Antoni Gandia; Alessandro Chiolerio; Mohammad Mahdi Dehshibi (Fungal Machines, 2023)

Complexity of Electrical Spiking of Fungi. - Mohammad Mahdi Dehshibi; Andrew Adamatzky (Fungal Machines, 2023)

On Stimulating Fungi Pleurotus Ostreatus with Hydrocortisone. - Mohammad Mahdi Dehshibi; Alessandro Chiolerio; Anna Nikolaidou; Richard Mayne; Antoni Gandia; Mona Ashtari-Majlan; Andrew Adamatzky (Fungal Machines, 2023)

On Futuring Body Perception Transformation Technologies: Roles, Goals and Values. - Laia Turmo Vidal; José Manuel Vega-Cebrián; Amar D'Adamo; Marte Roel Lesur; Mohammad Mahdi Dehshibi; Joaquín Díaz Durán; Ana Tajadura-Jiménez (MindTrek, 2023)

Deep Learning and Computer Vision for Glaucoma Detection: A Review. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (CoRR, 2023)

A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile. - Mohammad Mahdi Dehshibi; Bita Baiani; Gerard Pons 002; David Masip (IEEE Trans. Affect. Comput., 2023)

Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs. - Mohammad Mahdi Dehshibi; Temitayo A. Olugbade; Fernando Díaz-de-María; Nadia Bianchi-Berthouze; Ana Tajadura-Jiménez (IEEE J. Sel. Top. Signal Process., 2023)

SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and Behavior. - Amar D'Adamo; Marte Roel Lesur; Laia Turmo Vidal; Mohammad Mahdi Dehshibi; Daniel De La Prida; Joaquín R. Díaz Durán; Luis Antonio Azpicueta-Ruiz; Aleksander Väljamäe; Ana Tajadura-Jiménez (CHI, 2024)

BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions. - Mohammad Mahdi Dehshibi; David Masip (CoRR, 2024)

Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (CoRR, 2024)

L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection. - Jorge Ortigoso-Narro; Fernando Díaz-de-María; Mohammad Mahdi Dehshibi; Ana Tajadura-Jiménez (CoRR, 2024)

STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data. - Freek Hens; Mohammad Mahdi Dehshibi; Leila Bagheriye; Mahyar Shahsavari; Ana Tajadura-Jiménez (CoRR, 2024)

Glaucoma diagnosis in the era of deep learning: A survey. - Mona Ashtari-Majlan; Mohammad Mahdi Dehshibi; David Masip (Expert Syst. Appl., 2024)

A supervised active learning method for identifying critical nodes in IoT networks. - Behnam Ojaghi; Mohammad Mahdi Dehshibi; Angelos Antonopoulos 001 (J. Supercomput., 2024)

ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks. - Mohammad Mahdi Dehshibi; Mona Ashtari-Majlan; Gereziher Adhane; David Masip (Vis. Comput., 2024)

On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. - Gereziher Adhane; Mohammad Mahdi Dehshibi; Dennis Vetter; David Masip; Gemma Roig (WACV, 2025)