Girish Dwivedi

According to our database, Girish Dwivedi authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D Brain and Heart Volume Generative Models: A Survey.

Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun

ACM Comput. Surv., June, 2024

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., October, 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., October, 2023

Training Spiking Neural Networks Using Lessons From Deep Learning.

Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu

Proc. IEEE, September, 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., March, 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, 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.

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

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

Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring.

Yue Rong, Matthew Fynn, Sven Nordholm, Serena Siaw, Girish Dwivedi

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping.

Najmeh Fayyazifar, Selam T. Ahderom, Najmeh Samadiani, Andrew Maiorana, Girish Dwivedi

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

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

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, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi

Comput. Biol. Medicine, 2022

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

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?

Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo

Comput. Methods Programs Biomed., 2021

2020

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

Proceedings of the Computing in Cardiology, 2020