Danny Eytan

According to our database, Danny Eytan authored at least 29 papers between 2008 and 2024.

Collaborative distances:

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

2024

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data.

Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi

CoRR, 2024

Aiming for Relevance.

Bar Eini-Porat, Danny Eytan, Uri Shalit

CoRR, 2024

2023

iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside.

Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan

PLoS Comput. Biol., 2023

Making machine learning matter to clinicians: model actionability in medical decision-making.

Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan

npj Digit. Medicine, 2023

Individualized Dosing Dynamics via Neural Eigen Decomposition.

Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Tell me something interesting: Clinical utility of machine learning prediction models in the ICU.

Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit

J. Biomed. Informatics, 2022

Timing errors and temporal uncertainty in clinical databases - A narrative review.

Andrew J. Goodwin, Danny Eytan, Will Dixon, Sebastian D. Goodfellow, Zakary Doherty, Robert W. Greer, Alistair Lee McEwan, Mark B. Tracy, Peter C. Laussen, Azadeh Assadi, Mjaye Mazwi

Frontiers Digit. Health, 2022

An integration engineering framework for machine learning in healthcare.

Azadeh Assadi, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, Will Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa D. McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi

Frontiers Digit. Health, 2022

Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event.

Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar

CoRR, 2022

Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit.

Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar

CoRR, 2022

Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics.

Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor

CoRR, 2022

Enhancing Causal Estimation through Unlabeled Offline Data.

Ron Teichner, Danny Eytan, Ron Meir

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

Learning Unsupervised Representations for ICU Timeseries.

Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni

Proceedings of the Conference on Health, Inference, and Learning, 2022

Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients.

Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.

Michael Roimi, Rom Gutman, Jonathan Somer, Asaf Ben Arie, Ido Calman, Yaron Bar-Lavie, Udi Gelbshtein, Sigal Liverant-Taub, Arnona Ziv, Danny Eytan, Malka Gorfine, Uri Shalit

J. Am. Medical Informatics Assoc., 2021

About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations.

Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow

CoRR, 2021

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding.

Sana Tonekaboni, Danny Eytan, Anna Goldenberg

Proceedings of the 9th International Conference on Learning Representations, 2021

Generative ODE modeling with known unknowns.

Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Generative ODE Modeling with Known Unknowns.

Ori Linial, Danny Eytan, Uri Shalit

CoRR, 2020

Using deep networks for scientific discovery in physiological signals.

Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit

Proceedings of the Machine Learning for Healthcare Conference, 2020

Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network.

Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability.

Sebastian D. Goodfellow, Dmitrii Shubin, Robert W. Greer, Sujay Nagaraj, Carson McLean, Will Dixon, Andrew J. Goodwin, Azadeh Assadi, Anusha Jegatheeswaran, Peter C. Laussen, Mjaye Mazwi, Danny Eytan

Proceedings of the Computing in Cardiology, 2020

2019

Domain Adaptation Using Riemannian Geometry of Spd Matrices.

Gal Maman, Or Yair, Danny Eytan, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU.

Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg

Proceedings of the Machine Learning for Healthcare Conference, 2018

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings.

Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan

Proceedings of the Machine Learning for Healthcare Conference, 2018

2017

Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting.

Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen

Proceedings of the Computing in Cardiology, 2017

2009

On the precarious path of reverse neuro-engineering.

Shimon Marom, Ron Meir, Erez Braun, Asaf Gal, Einat Kermany, Danny Eytan

Frontiers Comput. Neurosci., 2009

2008

Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment.

Avner Wallach, Danny Eytan, Shimon Marom, Ron Meir

PLoS Comput. Biol., 2008

Order-Based Representation in Random Networks of Cortical Neurons.

Goded Shahaf, Danny Eytan, Asaf Gal, Einat Kermany, Vladimir Lyakhov, Christoph Zrenner, Shimon Marom

PLoS Comput. Biol., 2008