Ear Segmetation using Topographic Labels. - Milad Lankarany; Alireza Ahmadyfard (VISAPP (2), 2009)

Knowledge based blind deconvolution of non-minimum phase FIR systems. - Milad Lankarany; Mohammad Hasan Savoji 001 (CCECE, 2010)

A new iterative algorithm for estimating the glottal flow derivative of vowels. - Milad Lankarany; Mohammad Hasan Savoji 001 (ISSPA, 2010)

TMS artifact removal from neurophysiolical recordings using a novel iterative adaptive filtering. - Milad Lankarany; Ajay Venkateswaran; Wei-Ping Zhu 001; M. N. S. Swamy; Amir Shmuel (ICASSP, 2012)

Blind Deconvolution of Hodgkin-Huxley neuronal model. - Milad Lankarany; Wei-Ping Zhu 001; M. N. S. Swamy; Taro Toyoizumi (EMBC, 2013)

Parameter estimation of Hodgkin-Huxley neuronal model using dual extended Kalman filter. - Milad Lankarany; Wei-Ping Zhu 001; M. N. S. Swamy (ISCAS, 2013)

Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering. - Milad Lankarany; Wei-Ping Zhu 001; M. N. S. Swamy; Taro Toyoizumi (Frontiers Comput. Neurosci., 2013)

Joint estimation of states and parameters of Hodgkin-Huxley neuronal model using Kalman filtering. - Milad Lankarany; Wei-Ping Zhu 001; M. N. S. Swamy (Neurocomputing, 2014)

Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. - Milad Lankarany; Jaime E. Heiss; Ilan Lampl; Taro Toyoizumi (Frontiers Comput. Neurosci., 2016)

Modeling and Reconstructing Textile Sensor Noise: Implications for Wearable Technology. - Yupeng Tian; Mohammad Abdizadeh; Amin Mahnam; Presish Bhattachan; Milad Alizadeh Meghrazi; Ladan Eskandarian; Muammar Kabir; Idir Mellal; Milos R. Popovic; Milad Lankarany (EMBC, 2020)

A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble. - Mohammad R. Rezaei; Milos R. Popovic; Milad Lankarany (Entropy, 2020)

Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate. - Navid Hasanzadeh; Mohammad R. Rezaei; Sayan Faraz; Milos R. Popovic; Milad Lankarany (Frontiers Comput. Neurosci., 2020)

Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network. - Sayan Faraz; Idir Mellal; Milad Lankarany (IEEE J. Sel. Top. Signal Process., 2020)

Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic). - Scott Rich; Andreea O. Diaconescu; John D. Griffiths; Milad Lankarany (PLoS Comput. Biol., 2020)

A Flexible FPGA Implementation of Morris-Lecar Neuron for Reproducing Different Neuronal Behaviors. - Idir Mellal; David Crompton; Milos R. Popovic; Milad Lankarany (ICONS, 2021)

Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning. - Aman Bhargava; Mohammad R. Rezaei; Milad Lankarany (CoRR, 2021)

Deep Discriminative Direct Decoders for High-dimensional Time-series Analysis. - Mohammad R. Rezaei; Milos R. Popovic; Milad Lankarany; Ali Yousefi (CoRR, 2022)

Uncovering the Origins of Instability in Dynamical Systems: How Attention Mechanism Can Help? - Nooshin Bahador; Milad Lankarany (CoRR, 2022)

Modeling and Reproducing Textile Sensor Noise: Implications for Textile-Compatible Signal Processing Algorithms. - Yupeng Tian; Muammar Kabir; Mohammad Abdizadeh; Behnaz Poursartip; Amin Mahnam; Presish Bhattachan; Ladan Eskandarian; Milad Alizadeh Meghrazi; Idir Mellal; Milos R. Popovic; Milad Lankarany (IEEE J. Biomed. Health Informatics, 2022)

Synchrony-Division Neural Multiplexing: An Encoding Model. - Mohammad R. Rezaei; Reza Saadati Fard; Milos R. Popovic; Steven A. Prescott; Milad Lankarany (Entropy, 2023)

Adaptive unscented Kalman filter for neuronal state and parameter estimation. - Loïc J. Azzalini; David Crompton; Gabriele M. T. D'Eleuterio; Frances K. Skinner; Milad Lankarany (J. Comput. Neurosci., 2023)

Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling. - Mohammad R. Rezaei; Rahul G. Krishnan; Milos R. Popovic; Milad Lankarany (CoRR, 2024)

Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification. - Xavier Mootoo; Alan A. Díaz-Montiel; Milad Lankarany; Hina Tabassum (CoRR, 2024)

Adaptive Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge. - Mohammad R. Rezaei; Reza Saadati Fard; Jayson Parker; Rahul G. Krishnan; Milad Lankarany (CoRR, 2025)

Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study. - Nooshin Bahador; Milad Lankarany (CoRR, 2025)

Semi-Supervised Anomaly Detection Pipeline for SOZ Localization Using Ictal-Related Chirp. - Nooshin Bahador; Milad Lankarany (CoRR, 2025)

Classifying Clinical Outcome of Epilepsy Patients with Ictal Chirp Embeddings. - Nooshin Bahador; Milad Lankarany (CoRR, 2025)