Ghulam Rasool - RankMe

75 papers B 5C 4Journal 54Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SUPER-Net: Trustworthy image segmentation via uncertainty propagation in encoder-decoder networks. Pattern Recognit. Giuseppina Carannante, Nidhal C. Bouaynaya, Dimah Dera, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2025	J	`jnl`	DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction. CoRR Kyle Naddeo, Nikolas Koutsoubis, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Tony O'Sullivan, Raj Krish
2025	J	`jnl`	EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis. CoRR Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts. CoRR Aakash Tripathi, Ian E. Nielsen, Muhammad Umer, Ravi Prakash Ramachandran, Ghulam Rasool
2025	J	`jnl`	HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings. npj Digit. Medicine Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods. IEEE Access Bradley Gathers, Ian E. Nielsen, Keith W. Soules, Ozan Tekben, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2025	J	`jnl`	Medical Image De-Identification Benchmark Challenge. CoRR 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, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani
2025	J	`jnl`	Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia. CoRR Sabeen Ahmed, Nathan Parker, Margaret Park, Evan W. Davis, Jennifer B. Permuth, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia Diagnosis. CoRR 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
2025	J	`jnl`	TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet. CoRR Luis Felipe, Carlos Garcia, Issam El Naqa, Monique Shotande, Aakash Tripathi, Vivek Rudrapatna, Ghulam Rasool, Danielle Bitterman, Gilmer Valdes
2025	J	`jnl`	Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK. CoRR Carlos García Fernández, Luis Felipe, Monique Shotande, Muntasir Zitu, Aakash Tripathi, Ghulam Rasool, Issam El Naqa, Vivek Rudrapatna, Gilmer Valdes
2024	B	`conf`	Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. IJCNN Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
2024	J	`jnl`	Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning. CoRR Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
2024	J	`jnl`	BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova
2024	J	`jnl`	Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. CoRR Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
2024	J	`jnl`	Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning. IEEE Access Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
2024	J	`jnl`	Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2024	J	`jnl`	Efficient Scaling of Bayesian Neural Networks. IEEE Access Jacob R. Epifano, Timothy Duong, Ravi Prakash Ramachandran, Ghulam Rasool
2024	J	`jnl`	Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. CoRR Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Ghulam Rasool
2024	J	`jnl`	Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. CoRR Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool
2024	J	`jnl`	HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool
2024	J	`jnl`	Multimodal data integration for oncology in the era of deep neural networks: a review. Frontiers Artif. Intell. Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul A. Stewart, Ghulam Rasool
2024	J	`jnl`	Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. CoRR Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool
2024	J	`jnl`	SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. CoRR Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, Ghulam Rasool
2024	J	`jnl`	TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. IEEE Trans. Knowl. Data Eng. Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool
2023	C	`conf`	A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU. ISCAS Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool
2023	J	`jnl`	Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2023	J	`jnl`	Deep Ensemble for Rotorcraft Attitude Prediction. CoRR Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool, Tyler Travis, Lacey Thompson, Charles Cliff Johnson
2023	J	`jnl`	Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond. CoRR Jacob R. Epifano, Stephen Glass, Ravi Prakash Ramachandran, Sharad Patel, Aaron J. Masino, Ghulam Rasool
2023	J	`jnl`	Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. IEEE Access Yassine Barhoumi, Nidhal Carla Bouaynaya, Ghulam Rasool
2023	J	`jnl`	Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. CoRR Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool
2023	J	`jnl`	EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. IEEE Access Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2023	J	`jnl`	EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models. CoRR Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool
2023	J	`jnl`	Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. CoRR Asim Waqas, Aakash Tripathi, Ravi Prakash Ramachandran, Paul Stewart, Ghulam Rasool
2023	J	`jnl`	Revisiting the Fragility of Influence Functions. CoRR Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
2023	J	`jnl`	Revisiting the fragility of influence functions. Neural Networks Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool
2023	—	`conf`	Targeted Background Removal Creates Interpretable Feature Visualizations. MWSCAS Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ravi Prakash Ramachandran, Ghulam Rasool
2023	J	`jnl`	Targeted Background Removal Creates Interpretable Feature Visualizations. CoRR Ian E. Nielsen, Erik Grundeland, Joseph Snedeker, Ghulam Rasool, Ravi Prakash Ramachandran
2023	C	`conf`	The Importance of Robust Features in Mitigating Catastrophic Forgetting. ISCC Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
2023	J	`jnl`	The Importance of Robust Features in Mitigating Catastrophic Forgetting. CoRR Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
2023	J	`jnl`	Transformers in Time-Series Analysis: A Tutorial. Circuits Syst. Signal Process. Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi Prakash Ramachandran, Ghulam Rasool
2023	C	`conf`	Variational Density Propagation Continual Learning. ISPA Christopher Angelini, Nidhal C. Bouaynaya, Ghulam Rasool
2023	J	`jnl`	Variational Density Propagation Continual Learning. CoRR Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool
2023	J	`jnl`	Vision Transformer and Language Model Based Radiology Report Generation. IEEE Access Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Mohammad Abdullah-Al-Wadud, Muhammad Abbas
2022	B	`conf`	Adversarially Robust Continual Learning. IJCNN Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool
2022	J	`jnl`	Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. IEEE Signal Process. Mag. Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya
2022	C	`conf`	Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning. FUSION Giuseppina Carannante, Dimah Dera, Orune Aminul, Nidhal C. Bouaynaya, Ghulam Rasool
2022	J	`jnl`	Transformers in Time-series Analysis: A Tutorial. CoRR Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran
2021	J	`jnl`	Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. CoRR Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
2021	J	`jnl`	Exploring Robustness of Neural Networks through Graph Measures. CoRR Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya
2021	J	`jnl`	PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks. IEEE Trans. Signal Process. Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh
2021	J	`jnl`	Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. CoRR Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran
2021	J	`jnl`	Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
2021	J	`jnl`	Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification. CoRR Yassine Barhoumi, Ghulam Rasool
2021	J	`jnl`	Self-Compression in Bayesian Neural Networks. CoRR Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
2021	B	`conf`	The Case Against Sentiment Analysis for Natural Text. IJCNN Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran
2021	J	`jnl`	Trustworthy Medical Segmentation with Uncertainty Estimation. CoRR Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh
2020	—	`conf`	Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
2020	—	`conf`	Self-Compression in Bayesian Neural Networks. MLSP Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
2020	—	`conf`	Towards an Explainable Mortality Prediction Model. MLSP Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool
2020	B	`conf`	Using Deep Speech Recognition to Evaluate Speech Enhancement Methods. IJCNN Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal C. Bouaynaya
2019	J	`jnl`	Constrained particle filtering for movement identification in forearm prosthesis. Signal Process. Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya, Roman Shterenberg
2019	—	`conf`	Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. MLSP Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya
2019	J	`jnl`	Inception Modules Enhance Brain Tumor Segmentation. Frontiers Comput. Neurosci. Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh
2017	J	`jnl`	A three-dimensional bin-packing model: exact multicriteria solution and computational complexity. Ann. Oper. Res. Gregory S. Taylor, Yupo Chan, Ghulam Rasool
2016	—	`conf`	Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves - Preliminary data. EMBC Ghulam Rasool, Allison B. Wang, William Zev Rymer, Sabrina S. M. Lee
2016	—	`conf`	Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury. EMBC Babak Afsharipour, Milap S. Sandhu, Ghulam Rasool, Nina L. Suresh, William Zev Rymer
2015	—	`conf`	Spatial analysis of muscular activations in stroke survivors. EMBC Ghulam Rasool, Babak Afsharipour, Nina L. Suresh, Xiaogang Hu, William Zev Rymer
2014	J	`jnl`	Surface myoelectric signal classification using the AR-GARCH model. Biomed. Signal Process. Control. Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal, Gannon A. White
2012	—	`conf`	Inference of genetic regulatory networks using regularized likelihood with covariance estimation. SSP Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld
2012	—	`conf`	Inference of time-varying gene networks using constrained and smoothed Kalman filtering. GENSiPS Ghulam Rasool, Nidhal Bouaynaya
2012	—	`conf`	Muscle activity detection from myoelectric signals based on the AR-GARCH model. SSP Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal
2012	—	`conf`	Muscle activity onset detection using energy detectors. EMBC Ghulam Rasool, Kamran Iqbal
2012	J	`jnl`	Myoelectric activity detection during a Sit-to-Stand movement using threshold methods. Comput. Math. Appl. Ghulam Rasool, Kamran Iqbal, Gannon A. White
2010	B	`conf`	Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies. SMC Ghulam Rasool, Asif Mahmood Mughal, Kamran Iqbal