Girish Dwivedi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Artificial Intelligence

Coronary Artery

Top Venues

Comput. Methods Programs Biomed.

Biomed. Signal Process. Control.

Publications

Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun
3D Brain and Heart Volume Generative Models: A Survey. ACM Comput. Surv. 56 (6) (2024)
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
A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia. Biomed. Signal Process. Control. 81 (2023)
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240 (2023)
Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111 (9) (2023)
Najmeh Fayyazifar, Selam T. Ahderom, Najmeh Samadiani, Andrew Maiorana, Girish Dwivedi
ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping. ICMLC (2023)
Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR (2023)
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.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi
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. 240 (2023)
Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR (2023)
Yue Rong, Matthew Fynn, Sven Nordholm, Serena Siaw, Girish Dwivedi
Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring. SSP (2023)
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR (2022)
Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin Chow, Frank M. Sanfilippo, Girish Dwivedi
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR (2022)
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
A reinforcement learning-based approach for imputing missing data. Neural Comput. Appl. 34 (12) (2022)
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun
3D Brain and Heart Volume Generative Models: A Survey. CoRR (2022)
Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin Chow, Frank M. Sanfilippo, Girish Dwivedi
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 150 (2022)
Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR (2021)
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
Imputation of missing data with class imbalance using conditional generative adversarial networks. Neurocomputing 453 (2021)
Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? CoRR (2021)
Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? Comput. Methods Programs Biomed. 212 (2021)
Najmeh Fayyazifar, Selam T. Ahderom, David Suter, Andrew Maiorana, Girish Dwivedi
Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. CinC (2020)
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. CoRR (2020)