Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. - Najmeh Fayyazifar; Selam T. Ahderom; David Suter; Andrew Maiorana; Girish Dwivedi (CinC, 2020)

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? - Isaac Ronald Ward; Ling Wang 005; Juan Lu; Mohammed Bennamoun; Girish Dwivedi; Frank M. Sanfilippo (Comput. Methods Programs Biomed., 2021)

Imputation of missing data with class imbalance using conditional generative adversarial networks. - Saqib Ejaz Awan; Mohammed Bennamoun; Ferdous Sohel; Frank M. Sanfilippo; Girish Dwivedi (Neurocomputing, 2021)

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. - Juan Lu; Rebecca Hutchens; Joseph Hung; Mohammed Bennamoun; Brendan McQuillan; Tom Briffa; Ferdous Sohel; Kevin Murray 005; Jonathon Stewart; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (Comput. Biol. Medicine, 2022)

A reinforcement learning-based approach for imputing missing data. - Saqib Ejaz Awan; Mohammed Bennamoun; Ferdous Sohel; Frank M. Sanfilippo; Girish Dwivedi (Neural Comput. Appl., 2022)

ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping. - Najmeh Fayyazifar; Selam T. Ahderom; Najmeh Samadiani; Andrew Maiorana; Girish Dwivedi (ICMLC, 2023)

Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring. - Yue Rong; Matthew Fynn; Sven Nordholm; Serena Siaw; Girish Dwivedi (SSP, 2023)

Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. - Hao Tang; Aref Miri Rekavandi; Dharjinder Rooprai; Girish Dwivedi; Frank M. Sanfilippo; Farid Boussaïd; Mohammed Bennamoun (CoRR, 2023)

Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. - Juan Lu; Mohammed Bennamoun; Jonathon Stewart; Jason Kamran Eshraghian; Yanbin Liu; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia. - Najmeh Fayyazifar; Girish Dwivedi; David Suter; Selam T. Ahderom; Andrew Maiorana; Owen Clarkin; Saad Balamane; Nishita Saha; Benjamin King; Martin S. Green; Mehrdad Golian; Benjamin J. W. Chow (Biomed. Signal Process. Control., 2023)

Training Spiking Neural Networks Using Lessons From Deep Learning. - Jason K. Eshraghian; Max Ward 001; Emre O. Neftci; Xinxin Wang 002; Gregor Lenz; Girish Dwivedi; Mohammed Bennamoun; Doo Seok Jeong; Wei D. Lu (Proc. IEEE, 2023)

Inflating 2D convolution weights for efficient generation of 3D medical images. - Yanbin Liu; Girish Dwivedi; Farid Boussaïd; Frank M. Sanfilippo; Makoto Yamada; Mohammed Bennamoun (Comput. Methods Programs Biomed., 2023)

Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. - Juan Lu; Jonathon Stewart; Mohammed Bennamoun; Adrian Goudie; Jason Eshraghian; Abdul Ihdayhid; Frank M. Sanfilippo; Gary R. Small; Benjamin J. W. Chow; Girish Dwivedi (Comput. Methods Programs Biomed., 2023)

Importance-Aware Transformer: Addressing Intra-Class Heterogeneity in Weakly Supervised Brain Tumor Segmentation. - Yiheng Lyu; Lian Xu; Mohammed Bennamoun; Farid Boussaïd; Girish Dwivedi (DICTA, 2024)

3D Brain and Heart Volume Generative Models: A Survey. - Yanbin Liu; Girish Dwivedi; Farid Boussaïd; Mohammed Bennamoun (ACM Comput. Surv., 2024)

Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM. - Zinuo Li; Xian Zhang; Yongxin Guo; Mohammed Bennamoun; Farid Boussaïd; Girish Dwivedi; Luqi Gong; Qiuhong Ke (CoRR, 2025)