Danny Eytan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Top Venues

Publications

Bar Eini-Porat, Danny Eytan, Uri Shalit
Aiming for Relevance. CoRR (2024)
Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan
Making machine learning matter to clinicians: model actionability in medical decision-making. npj Digit. Medicine 6 (2023)
Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan
iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside. PLoS Comput. Biol. 19 (9) (2023)
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS (2023)
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR (2023)
Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier
Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. CHI (2022)
Ron Teichner, Danny Eytan, Ron Meir
Enhancing Causal Estimation through Unlabeled Offline Data. ICFSP (2022)
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
An integration engineering framework for machine learning in healthcare. Frontiers Digit. Health 4 (2022)
Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni
Learning Unsupervised Representations for ICU Timeseries. CHIL (2022)
Andrew J. Goodwin, Danny Eytan, Will Dixon, Sebastian D. Goodfellow, Zakary Doherty, Robert W. Greer, Alistair McEwan, Mark Tracy, Peter C. Laussen, Azadeh Assadi, Mjaye Mazwi
Timing errors and temporal uncertainty in clinical databases - A narrative review. Frontiers Digit. Health 4 (2022)
Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. J. Biomed. Informatics 132 (2022)
Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR (2022)
Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR (2022)
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR (2021)
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
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit
Generative ODE modeling with known unknowns. CHIL (2021)
Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations. CoRR (2021)
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR (2021)
Ori Linial, Danny Eytan, Uri Shalit
Generative ODE Modeling with Known Unknowns. CoRR (2020)
Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit
Using Deep Networks for Scientific Discovery in Physiological Signals. CoRR (2020)
Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit
Using deep networks for scientific discovery in physiological signals. MLHC (2020)
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
Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. CinC (2020)
Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe
Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. ICASSP (2020)
Gal Maman, Or Yair, Danny Eytan, Ronen Talmon
Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP (2019)
Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings. MLHC (2018)
Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC (2018)
Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen
Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting. CinC (2017)
Shimon Marom, Ron Meir, Erez Braun, Asaf Gal, Einat Kermany, Danny Eytan
On the precarious path of reverse neuro-engineering. Frontiers Comput. Neurosci. 3 (2009)
Goded Shahaf, Danny Eytan, Asaf Gal, Einat Kermany, Vladimir Lyakhov, Christoph Zrenner, Shimon Marom
Order-Based Representation in Random Networks of Cortical Neurons. PLoS Comput. Biol. 4 (11) (2008)
Avner Wallach, Danny Eytan, Shimon Marom, Ron Meir
Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment. PLoS Comput. Biol. 4 (2) (2008)