Girish Dwivedi

26 papers Misc 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine learning-based risk prediction of outcomes in patients hospitalized with COVID-19 in Australia: the AUS-COVID Score. J. Am. Medical Informatics Assoc. Hari P. Sritharan, Harrison Nguyen, William van Gaal, Leonard Kritharides, Clara K. Chow, Ravinay Bhindi, Kunwardeep S. Bhatia, Usaid Allahwala, Justin Chia, Jonathan Ciofani, Daniel Nour, Karina Chui, Sheran Vasanthakumar, Pavithra Jayadeva, Dhanvee Kandadai, Rohan Bhagwandeen, David Brieger, Christopher Y. P. Choong, Anthony Delaney, Girish Dwivedi, Benjamin Harris, Graham S. Hillis, Bernard Hudson, Dávid Javorský, Nigel Jepson, Logan Kanagaratnam, George Kotsiou, Astin Lee, Sidney T. H. Lo, Andrew I Macisaac, Brendan McQuillan, Isuru Ranasinghe, Antony Walton, James Weaver, William Wilson, Andy Yong, John Zhu
2025	J	`jnl`	Hybrid Transformer-Mamba Architecture for Weakly Supervised Volumetric Medical Segmentation. CoRR Yiheng Lyu, Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Coen Arrow, Girish Dwivedi
2025	J	`jnl`	Neck-focused Remote Photoplethysmography (rPPG): A comparative study using clinical data and the PyVHR framework. Comput. Biol. Medicine Coen Arrow, Max Ward, Jason Eshraghian, Girish Dwivedi
2025	J	`jnl`	Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM. CoRR Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaïd, Girish Dwivedi, Luqi Gong, Qiuhong Ke
2024	J	`jnl`	3D Brain and Heart Volume Generative Models: A Survey. ACM Comput. Surv. Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun
2024	Misc	`conf`	Importance-Aware Transformer: Addressing Intra-Class Heterogeneity in Weakly Supervised Brain Tumor Segmentation. DICTA Yiheng Lyu, Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Girish Dwivedi
2023	J	`jnl`	A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia. Biomed. Signal Process. Control. 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
2023	J	`jnl`	Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun
2023	J	`jnl`	Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. Comput. Methods Programs Biomed. Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi
2023	J	`jnl`	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR 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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
2023	J	`jnl`	Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2023	J	`jnl`	Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi
2023	J	`jnl`	Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2023	—	`conf`	Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring. SSP Yue Rong, Matthew Fynn, Sven Nordholm, Serena Siaw, Girish Dwivedi
2023	Misc	`conf`	ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping. ICMLC Najmeh Fayyazifar, Selam T. Ahderom, Najmeh Samadiani, Andrew Maiorana, Girish Dwivedi
2022	J	`jnl`	3D Brain and Heart Volume Generative Models: A Survey. CoRR Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun
2022	J	`jnl`	A reinforcement learning-based approach for imputing missing data. Neural Comput. Appl. Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
2022	J	`jnl`	Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2022	J	`jnl`	Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. Comput. Biol. Medicine Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi
2022	J	`jnl`	Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi
2021	J	`jnl`	Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? CoRR Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2021	J	`jnl`	Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? Comput. Methods Programs Biomed. Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2021	J	`jnl`	Imputation of missing data with class imbalance using conditional generative adversarial networks. Neurocomputing Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
2021	J	`jnl`	Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
2020	—	`conf`	Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. CinC Najmeh Fayyazifar, Selam T. Ahderom, David Suter, Andrew Maiorana, Girish Dwivedi
2020	J	`jnl`	Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. CoRR Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi