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)

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)

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)

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)