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ORCIDGirish Dwivedi
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2020 – today
- 2024
[j9]Yanbin Liu
, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun:
3D Brain and Heart Volume Generative Models: A Survey. ACM Comput. Surv. 56(6): 137:1-137:37 (2024)- 2023
- [j8]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: 104506 (2023) - [j7]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: 107685 (2023) - [j6]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: 107717 (2023) - [j5]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): 1016-1054 (2023) - [c3]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: 54-60 - [c2]Yue Rong, Matthew Fynn, Sven Nordholm, Serena Siaw, Girish Dwivedi:
Wearable Electro-Phonocardiography Device for Cardiovascular Disease Monitoring. SSP 2023: 413-417 - [i9]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 abs/2303.06052 (2023) - [i8]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 abs/2309.00330 (2023) - [i7]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 abs/2309.12325 (2023) - 2022
- [j4]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:
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: 106126 (2022) - [j3]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): 9701-9716 (2022) - [i6]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:
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR abs/2202.01975 (2022) - [i5]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 abs/2208.03934 (2022) - [i4]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Mohammed Bennamoun:
3D Brain and Heart Volume Generative Models: A Survey. CoRR abs/2210.05952 (2022) - 2021
- [j2]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: 106415 (2021) - [j1]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: 164-171 (2021) - [i3]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 abs/2109.12894 (2021) - [i2]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 abs/2112.13210 (2021) - 2020
- [c1]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: 1-4 - [i1]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 abs/2012.00220 (2020)
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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