A complete system for head tracking using motion-based particle filter and randomly perturbed active contour. - Nidhal Bouaynaya; Dan Schonfeld (Electronic Imaging: Image and Video Communications and Processing, 2005)

An Online Motion-Based Particle Filter for Head Tracking Applications. - Nidhal Bouaynaya; Wei Qu; Dan Schonfeld (ICASSP (2), 2005)

Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion. - Wei Qu; Nidhal Bouaynaya; Dan Schonfeld (ICASSP (2), 2005)

Biological Evolution: Distribution and Convergence Analysis of Amino Acids. - Nidhal Bouaynaya; Dan Schonfeld (EMBC, 2006)

The Genomic Structure: Proof of the Role of Non-Coding DNA. - Nidhal Bouaynaya; Dan Schonfeld (EMBC, 2006)

A new method for multidimensional optimization and its application in image and video processing. - Dan Schonfeld; Nidhal Bouaynaya (IEEE Signal Process. Lett., 2006)

Spatially Variant Morphological Restoration and Skeleton Representation. - Nidhal Bouaynaya; Mohammed Charif-Chefchaouni; Dan Schonfeld (IEEE Trans. Image Process., 2006)

Protein Communication System: Evolution and Genomic Structure. - Nidhal Bouaynaya; Dan Schonfeld (Algorithmica, 2007)

Time-dependent ARMA modeling of genomic sequences. - Jerzy S. Zielinski; Nidhal Bouaynaya; Dan Schonfeld; William D. O'Neill (BMC Bioinform., 2008)

Nonstationary Analysis of Coding and Noncoding Regions in Nucleotide Sequences. - Nidhal Bouaynaya; Dan Schonfeld (IEEE J. Sel. Top. Signal Process., 2008)

Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images. - Nidhal Bouaynaya; Mohammed Charif-Chefchaouni; Dan Schonfeld (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images. - Nidhal Bouaynaya; Dan Schonfeld (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Analysis of temporal gene expression profiles using time-dependent MUSIC algorithm. - Nidhal Bouaynaya; Dan Schonfeld; Radhakrishnan Nagarajan (GENSiPS, 2009)

Adaptive mathematical morphology: A unified representation theory. - Nidhal Bouaynaya; Dan Schonfeld (ICIP, 2009)

Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification - Nidhal Bouaynaya; Jerzy S. Zielinski; Dan Schonfeld (CoRR, 2009)

On the Optimality of Motion-Based Particle Filtering. - Nidhal Bouaynaya; Dan Schonfeld (IEEE Trans. Circuits Syst. Video Technol., 2009)

Optimal perturbation control of gene regulatory networks. - Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (GENSiPS, 2010)

ARMA companding scheme with improved symbol error rate for PAPR reduction in OFDM systems. - Yasir Rahmatallah; Nidhal Bouaynaya; Seshadri Mohan (WTS, 2010)

Robustness of inverse perturbation for discrete event control. - Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (EMBC, 2011)

Clustering gene expression data using probabilistic non-negative matrix factorization. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GENSiPS, 2011)

Intervention in general topology gene regulatory networks. - Nidhal Bouaynaya; Mohammed Rasheed; Roman Shterenberg; Dan Schonfeld (GENSiPS, 2011)

Bit Error Rate Performance of Linear Companding Transforms for PAPR Reduction in OFDM Systems. - Yasir Rahmatallah; Nidhal Bouaynaya; Seshadri Mohan (GLOBECOM, 2011)

On the performance of linear and nonlinear companding transforms in OFDM systems. - Yasir Rahmatallah; Nidhal Bouaynaya; Seshadri Mohan (WTS, 2011)

Inverse perturbation for optimal intervention in gene regulatory networks. - Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (Bioinform., 2011)

Information-Theoretic Model of Evolution over Protein Communication Channel. - Liuling Gong; Nidhal Bouaynaya; Dan Schonfeld (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Inference of time-varying gene networks using constrained and smoothed Kalman filtering. - Ghulam Rasool 001; Nidhal Bouaynaya (GENSiPS, 2012)

Particle filters and beamforming for EEG source estimation. - Petia Georgieva; Lyudmila Mihaylova; Nidhal Bouaynaya; Lakhmi C. Jain (IJCNN, 2012)

Inference of genetic regulatory networks using regularized likelihood with covariance estimation. - Ghulam Rasool 001; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh; Dan Schonfeld (SSP, 2012)

Muscle activity detection from myoelectric signals based on the AR-GARCH model. - Ghulam Rasool 001; Nidhal Bouaynaya; Kamran Iqbal (SSP, 2012)

M-Idempotent and Self-Dual Morphological Filters. - Nidhal Bouaynaya; Mohammed Charif-Chefchaouni; Dan Schonfeld (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Methods for Optimal Intervention in Gene Regulatory Networks [Applications Corner]. - Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (IEEE Signal Process. Mag., 2012)

Compressive Kalman filtering for recovering temporally-rewiring genetic networks. - Jehandad Khan; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh (EUSIPCO, 2013)

Inference of genetic regulatory networks with unknown covariance structure. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GENSiPS, 2013)

Sparse biologically-constrained optimal perturbation of gene regulatory networks. - Haoyu Wang 006; Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (ICASSP, 2013)

Bayesian Approach for Reconstruction of Moving Brain Dipoles. - Petia Georgieva; Nidhal Bouaynaya; Lyudmila Mihaylova; Filipe Miguel Teixeira Pereira da Silva (ICIAR, 2013)

Optimal Perturbation Control of General Topology Molecular Networks. - Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld (IEEE Trans. Signal Process., 2013)

Bit-Error-Rate Performance of Companding Transforms for OFDM. - Yasir Rahmatallah; Nidhal Bouaynaya; Seshadri Mohan (IEEE Trans. Veh. Technol., 2013)

Kernel reconstruction: An exact greedy algorithm for compressive sensing. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GlobalSIP, 2014)

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. - Petia Georgieva; Filipe Miguel Teixeira Pereira da Silva; Lyudmila Mihaylova; Nidhal Bouaynaya (IJCNN, 2014)

Optimal Bayesian classification in nonstationary streaming environments. - Jehandad Khan; Nidhal Bouaynaya; Robi Polikar (IJCNN, 2014)

Surface myoelectric signal classification using the AR-GARCH model. - Ghulam Rasool 001; Nidhal Bouaynaya; Kamran Iqbal; Gannon A. White (Biomed. Signal Process. Control., 2014)

Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother. - Jehandad Khan; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh (EURASIP J. Bioinform. Syst. Biol., 2014)

Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (J. Bioinform. Comput. Biol., 2014)

Level set segmentation using non-negative matrix factorization of brain MRI images. - Dimah Dera; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh (BIBM, 2015)

EEG dynamic source localization using Marginalized Particle Filtering. - Bradley Ebinger; Nidhal Bouaynaya; Petia Georgieva; Lyudmila Mihaylova (BIBM, 2015)

Inductive learning based on rough set theory for medical decision making. - Ahmad Taher Azar; Nidhal Bouaynaya; Robi Polikar (FUZZ-IEEE, 2015)

Constrained state estimation in particle filters. - Bradley Ebinger; Nidhal Bouaynaya; Robi Polikar; Roman Shterenberg (ICASSP, 2015)

Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. - Dimah Dera; Nidhal Bouaynaya; Robi Polikar; Hassan M. Fathallah-Shaykh (IJCNN, 2016)

Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. - Dimah Dera; Fabio Raman; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh (BrainLes@MICCAI, 2016)

EEG dynamic source localization using constrained particle filtering. - Nesrine Amor; Nidhal Bouaynaya; Petia Georgieva; Roman Shterenberg; Souad Chebbi (SSCI, 2016)

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. - Petia Georgieva; Nidhal Bouaynaya; Filipe Miguel Teixeira Pereira da Silva; Lyudmila Mihaylova; Lakhmi C. Jain (IEEE J. Biomed. Health Informatics, 2016)

The AKRON-Kalman filter for tracking time-varying networks. - Victor Carluccio; Nidhal Bouaynaya; Gregory Ditzler; Hassan M. Fathallah-Shaykh (BHI, 2017)

On the Convergence of Constrained Particle Filters. - Nesrine Amor; Nidhal Bouaynaya; Roman Shterenberg; Souad Chebbi (IEEE Signal Process. Lett., 2017)

SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (IEEE J. Biomed. Health Informatics, 2017)

Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. - Jiashu Guo; Zhengzhong Liang; Gregory Ditzler; Nidhal C. Bouaynaya; Elizabeth Y. Scribner; Hassan M. Fathallah-Shaykh (IJCNN, 2018)

Inverted Cone Convolutional Neural Network For Deboning MRIs. - Oliver Palumbo; Dimah Dera; Nidhal C. Bouaynaya; Hassan M. Fathallah-Shaykh (IJCNN, 2018)

AKRON: An algorithm for approximating sparse kernel reconstruction. - Gregory Ditzler; Nidhal Bouaynaya; Roman Shterenberg (Signal Process., 2018)

Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech Processing. - Ravi Prakash Ramachandran; Kevin D. Dahm; Nidhal C. Bouaynaya (ICASSP, 2019)

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. - Dimah Dera; Ghulam Rasool 001; Nidhal Bouaynaya (MLSP, 2019)

Inception Modules Enhance Brain Tumor Segmentation. - Daniel E. Cahall; Ghulam Rasool 001; Nidhal C. Bouaynaya; Hassan M. Fathallah-Shaykh (Frontiers Comput. Neurosci., 2019)

Constrained particle filtering for movement identification in forearm prosthesis. - Nesrine Amor; Ghulam Rasool 001; Nidhal C. Bouaynaya; Roman Shterenberg (Signal Process., 2019)

Trajectory design of an Aircraft for Circular Motion. - Nicholas DeCicco; Kristine Napolitano; Russell Trafford; Petia Georgieva; Nidhal Bouaynaya; Robi Polikar (ICCA, 2020)

Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery. - Husam Alfergani; Nidhal Bouaynaya; Rouzbeh Nazari (IGARSS, 2020)

Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. - Shamoon Siddiqui; Ghulam Rasool 001; Ravi Prakash Ramachandran; Nidhal C. Bouaynaya (IJCNN, 2020)

Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. - Peng Wang 076; Nidhal C. Bouaynaya; Lyudmila Mihaylova; Jikai Wang; Qibin Zhang; Renke He (IJCNN, 2020)

Self-Compression in Bayesian Neural Networks. - Giuseppina Carannante; Dimah Dera; Ghulam Rasool 001; Nidhal C. Bouaynaya (MLSP, 2020)

Robust Learning via Ensemble Density Propagation in Deep Neural Networks. - Giuseppina Carannante; Dimah Dera; Ghulam Rasool 001; Nidhal C. Bouaynaya; Lyudmila Mihaylova (MLSP, 2020)

A Deep Learning Framework for Joint Image Restoration and Recognition. - Ruilong Chen; Lyudmila Mihaylova; Hao Zhu 003; Nidhal C. Bouaynaya (Circuits Syst. Signal Process., 2020)

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. - Giuseppina Carannante; Nidhal C. Bouaynaya; Lyudmila Mihaylova (FUSION, 2021)

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. - Mahed Javed; Lyudmila Mihaylova; Nidhal Bouaynaya (FUSION, 2021)

Exploring Robustness of Neural Networks through Graph Measures. - Asim Waqas; Ghulam Rasool 001; Hamza Farooq; Nidhal C. Bouaynaya (CoRR, 2021)

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. - Daniel E. Cahall; Ghulam Rasool 001; Nidhal C. Bouaynaya; Hassan M. Fathallah-Shaykh (CoRR, 2021)

Trustworthy Medical Segmentation with Uncertainty Estimation. - Giuseppina Carannante; Dimah Dera; Nidhal C. Bouaynaya; Ghulam Rasool 001; Hassan M. Fathallah-Shaykh (CoRR, 2021)

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. - Dimah Dera; Nidhal Carla Bouaynaya; Ghulam Rasool 001; Roman Shterenberg; Hassan M. Fathallah-Shaykh (IEEE Trans. Signal Process., 2021)

Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. - Giuseppina Carannante; Dimah Dera; Orune Aminul; Nidhal C. Bouaynaya; Ghulam Rasool 001 (FUSION, 2022)

Deep Learning for Audio Visual Emotion Recognition. - Tassadaq Hussain; Wenwu Wang 001; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh; Lyudmila Mihaylova (FUSION, 2022)

Adversarially Robust Continual Learning. - Hikmat Khan; Nidhal Carla Bouaynaya; Ghulam Rasool 001 (IJCNN, 2022)

An Information Geometric Perspective to Adversarial Attacks and Defenses. - Kyle Naddeo; Nidhal Bouaynaya; Roman Shterenberg (IJCNN, 2022)

Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach. - Taha Bouhsine; Soufiane Idbraim; Nidhal Carla Bouaynaya; Husam Alfergani; Kabira Ait Ouadil; Charles Cliff Johnson (WINCOM, 2022)

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. - Ian E. Nielsen; Dimah Dera; Ghulam Rasool 001; Ravi Prakash Ramachandran; Nidhal Carla Bouaynaya (IEEE Signal Process. Mag., 2022)

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. - Tianhao Zhang 003; Shenglin Wang; Nidhal Bouaynaya; Radu Calinescu; Lyudmila Mihaylova (FUSION, 2023)

Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. - Nikolas Koutsoubis; Kyle Naddeo; Garrett Williams; George D. Lecakes; Gregory Ditzler; Nidhal C. Bouaynaya; Thomas Kiel (IJCNN, 2023)

Variational Density Propagation Continual Learning. - Christopher Angelini; Nidhal C. Bouaynaya; Ghulam Rasool 001 (ISPA, 2023)

The Importance of Robust Features in Mitigating Catastrophic Forgetting. - Hikmat Khan; Nidhal C. Bouaynaya; Ghulam Rasool 001 (ISCC, 2023)

A Deep Learning Approach For Airport Runway Detection and Localization From Satellite Imagery. - Amine Khelifi; Mahmut Gemici; Giuseppina Carannante; Charles Cliff Johnson; Nidhal C. Bouaynaya (ISCC, 2023)

Bayesian Deep Learning Detection of Anomalies and Failure: Application To Medical Images. - Giuseppina Carannante; Nidhal C. Bouaynaya (MLSP, 2023)

Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. - Yassine Barhoumi; Nidhal Carla Bouaynaya; Ghulam Rasool 001 (IEEE Access, 2023)

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. - Ian E. Nielsen; Ravi Prakash Ramachandran; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh; Ghulam Rasool 001 (IEEE Access, 2023)

Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. - Yassine Barhoumi; Nidhal C. Bouaynaya; Ghulam Rasool 001 (CoRR, 2023)

Deep Ensemble for Rotorcraft Attitude Prediction. - Hikmat Khan; Nidhal Carla Bouaynaya; Ghulam Rasool 001; Tyler Travis; Lacey Thompson; Charles Cliff Johnson (CoRR, 2023)

Automatic Alignment of Fractured Femur: Integration of Robot and Optical Tracking System. - Marzieh S. Saeedi-Hosseiny; Fayez Alruwaili; Michael P. Clancy; Emily A. Corson; Sean McMillan; Charalampos Papachristou; Nidhal C. Bouaynaya; Iulian Iordachita; Mohammad H. Abedinnasab (IEEE Robotics Autom. Lett., 2023)

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation. - Christopher Angelini; Nidhal C. Bouaynaya (IJCNN, 2024)

Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. - Hikmat Khan; Ghulam Rasool 001; Nidhal Carla Bouaynaya (IJCNN, 2024)

Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. - Hikmat Khan; Nidhal Carla Bouaynaya; Ghulam Rasool 001 (IEEE Access, 2024)

BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. - Giuseppina Carannante; Nidhal Bouaynaya; Ghulam Rasool 001; Lyudmila Mihaylova (Trans. Mach. Learn. Res., 2024)

Adversarial Robustness with Partial Isometry. - Loïc Shi-Garrier; Nidhal Carla Bouaynaya; Daniel Delahaye (Entropy, 2024)

TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. - Dimah Dera; Sabeen Ahmed; Nidhal Carla Bouaynaya; Ghulam Rasool 001 (IEEE Trans. Knowl. Data Eng., 2024)

Atmospheric visibility estimation: a review of deep learning approach. - Kabira Ait Ouadil; Soufiane Idbraim; Taha Bouhsine; Nidhal Carla Bouaynaya; Husam Alfergani; Charles Cliff Johnson (Multim. Tools Appl., 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction. - Kyle Naddeo; Nikolas Koutsoubis; Rahul Krish; Ghulam Rasool 001; Nidhal Bouaynaya; Tony O'Sullivan; Raj Krish (CoRR, 2025)

SUPER-Net: Trustworthy image segmentation via uncertainty propagation in encoder-decoder networks. - Giuseppina Carannante; Nidhal C. Bouaynaya; Dimah Dera; Hassan M. Fathallah-Shaykh; Ghulam Rasool 001 (Pattern Recognit., 2026)