Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies. - Ghulam Rasool 001; Asif Mahmood Mughal; Kamran Iqbal (SMC, 2010)

Muscle activity onset detection using energy detectors. - Ghulam Rasool 001; Kamran Iqbal (EMBC, 2012)

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

Myoelectric activity detection during a Sit-to-Stand movement using threshold methods. - Ghulam Rasool 001; Kamran Iqbal; Gannon A. White (Comput. Math. Appl., 2012)

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

Spatial analysis of muscular activations in stroke survivors. - Ghulam Rasool 001; Babak Afsharipour; Nina L. Suresh; Xiaogang Hu; William Zev Rymer (EMBC, 2015)

Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury. - Babak Afsharipour; Milap S. Sandhu; Ghulam Rasool 001; Nina L. Suresh; William Zev Rymer (EMBC, 2016)

Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data. - Ghulam Rasool 001; Allison B. Wang; William Zev Rymer; Sabrina S. M. Lee (EMBC, 2016)

A three-dimensional bin-packing model: exact multicriteria solution and computational complexity. - Gregory S. Taylor; Yupo Chan; Ghulam Rasool 001 (Ann. Oper. Res., 2017)

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)

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

Towards an Explainable Mortality Prediction Model. - Jacob R. Epifano; Ravi Prakash Ramachandran; Sharad Patel; Ghulam Rasool 001 (MLSP, 2020)

The Case Against Sentiment Analysis for Natural Text. - Shamoon Siddiqui; Ghulam Rasool 001; Ravi Prakash Ramachandran (IJCNN, 2021)

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

Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification. - Yassine Barhoumi; Ghulam Rasool 001 (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)

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

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

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU. - Jacob R. Epifano; Alison Silvestri; Alexander Yu; Ravi Prakash Ramachandran; Aakash Tripathi; Ghulam Rasool 001 (ISCAS, 2023)

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

Targeted Background Removal Creates Interpretable Feature Visualizations. - Ian E. Nielsen; Erik Grundeland; Joseph Snedeker; Ravi Prakash Ramachandran; Ghulam Rasool 001 (MWSCAS, 2023)

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

Vision Transformer and Language Model Based Radiology Report Generation. - Mashood Mohammad Mohsan; Muhammad Usman Akram; Ghulam Rasool 001; Norah Saleh Alghamdi; Mohammad Abdullah-Al-Wadud; Muhammad Abbas (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)

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. - Asim Waqas; Aakash Tripathi; Ravi Prakash Ramachandran; Paul Stewart; 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)

Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond. - Jacob R. Epifano; Stephen Glass; Ravi Prakash Ramachandran; Sharad Patel; Aaron J. Masino; Ghulam Rasool 001 (CoRR, 2023)

Revisiting the fragility of influence functions. - Jacob R. Epifano; Ravi Prakash Ramachandran; Aaron J. Masino; Ghulam Rasool 001 (Neural Networks, 2023)

Transformers in Time-Series Analysis: A Tutorial. - Sabeen Ahmed; Ian E. Nielsen; Aakash Tripathi; Shamoon Siddiqui; Ravi Prakash Ramachandran; Ghulam Rasool 001 (Circuits Syst. Signal Process., 2023)

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

Efficient Scaling of Bayesian Neural Networks. - Jacob R. Epifano; Timothy Duong; Ravi Prakash Ramachandran; Ghulam Rasool 001 (IEEE Access, 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)

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. - Aakash Tripathi; Asim Waqas; Yasin Yilmaz; Ghulam Rasool 001 (CoRR, 2024)

SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. - Asim Waqas; Aakash Tripathi; Sabeen Ahmed; Ashwin Mukund; Hamza Farooq; Matthew B. Schabath; Paul Stewart; Mia Naeini; Ghulam Rasool 001 (CoRR, 2024)

Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. - Asim Waqas; Aakash Tripathi; Paul Stewart; Mia Naeini; Ghulam Rasool 001 (CoRR, 2024)

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. - Nikolas Koutsoubis; Yasin Yilmaz; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. - Nikolas Koutsoubis; Asim Waqas; Yasin Yilmaz; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Multimodal data integration for oncology in the era of deep neural networks: a review. - Asim Waqas; Aakash Tripathi; Ravi Prakash Ramachandran; Paul A. Stewart; Ghulam Rasool 001 (Frontiers Artif. Intell., 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)

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)

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. - Aakash Tripathi; Asim Waqas; Kavya Venkatesan; Yasin Yilmaz; Ghulam Rasool 001 (Sensors, 2024)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia. - Sabeen Ahmed; Nathan Parker; Margaret Park; Evan W. Davis; Jennifer B. Permuth; Matthew B. Schabath; Yasin Yilmaz; Ghulam Rasool 001 (CoRR, 2025)

Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia Diagnosis. - Sabeen Ahmed; Nathan Parker; Margaret Park; Daniel Jeong; Lauren Peres; Evan W. Davis; Jennifer B. Permuth; Erin Siegel; Matthew B. Schabath; Yasin Yilmaz; Ghulam Rasool 001 (CoRR, 2025)

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet. - Luis Felipe; Carlos Garcia; Issam El Naqa; Monique Shotande; Aakash Tripathi; Vivek Rudrapatna; Ghulam Rasool 001; Danielle Bitterman; Gilmer Valdes (CoRR, 2025)

Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK. - Carlos García Fernández; Luis Felipe; Monique Shotande; Muntasir Zitu; Aakash Tripathi; Ghulam Rasool 001; Issam El Naqa; Vivek Rudrapatna; Gilmer Valdes (CoRR, 2025)

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis. - Aakash Tripathi; Asim Waqas; Matthew B. Schabath; Yasin Yilmaz; Ghulam Rasool 001 (CoRR, 2025)

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts. - Aakash Tripathi; Ian E. Nielsen; Muhammad Umer; Ravi Prakash Ramachandran; Ghulam Rasool 001 (CoRR, 2025)

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)