Danny Eytan - RankMe

34 papers A* 3Misc 2Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Structured Hybrid Mechanistic Models for Robust Estimation of Time-Dependent Intervention Outcomes. CoRR Tomer Meir, Ori Linial, Danny Eytan, Uri Shalit
2024	J	`jnl`	Aiming for Relevance. CoRR Bar Eini-Porat, Danny Eytan, Uri Shalit
2024	—	`conf`	Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data. MLHC Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Sebastian D. Goodfellow, Danny Eytan, Hadrian Balaci, Robert Greer, Anand Jayarajan, Azadeh Assadi, Mjaye Leslie Mazwi, Anna Goldenberg
2024	J	`jnl`	Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. CoRR Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi
2023	A*	`conf`	Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2023	J	`jnl`	Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2023	J	`jnl`	Making machine learning matter to clinicians: model actionability in medical decision-making. npj Digit. Medicine Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan
2023	J	`jnl`	iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside. PLoS Comput. Biol. Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan
2022	J	`jnl`	An integration engineering framework for machine learning in healthcare. Frontiers Digit. Health 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
2022	J	`jnl`	Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar
2022	J	`jnl`	Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
2022	—	`conf`	Enhancing Causal Estimation through Unlabeled Offline Data. ICFSP Ron Teichner, Danny Eytan, Ron Meir
2022	A*	`conf`	Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. CHI Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier
2022	—	`conf`	Learning Unsupervised Representations for ICU Timeseries. CHIL Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni
2022	J	`jnl`	Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. CoRR Raphael Azriel, Cecil D. Hahn, Thomas De Cooman, Sabine Van Huffel, Eric T. Payne, Kristin L. McBain, Danny Eytan, Joachim A. Behar
2022	J	`jnl`	Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. J. Biomed. Informatics Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit
2022	J	`jnl`	Timing errors and temporal uncertainty in clinical databases - A narrative review. Frontiers Digit. Health 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
2021	J	`jnl`	About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations. CoRR Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow
2021	J	`jnl`	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. 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
2021	—	`conf`	Generative ODE modeling with known unknowns. CHIL Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit
2021	A*	`conf`	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR Sana Tonekaboni, Danny Eytan, Anna Goldenberg
2021	J	`jnl`	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR Sana Tonekaboni, Danny Eytan, Anna Goldenberg
2020	Misc	`conf`	Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. ICASSP Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe
2020	J	`jnl`	Generative ODE Modeling with Known Unknowns. CoRR Ori Linial, Danny Eytan, Uri Shalit
2020	—	`conf`	Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. CinC 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
2020	J	`jnl`	Using Deep Networks for Scientific Discovery in Physiological Signals. CoRR Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit
2020	—	`conf`	Using deep networks for scientific discovery in physiological signals. MLHC Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit
2019	Misc	`conf`	Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP Gal Maman, Or Yair, Danny Eytan, Ronen Talmon
2018	—	`conf`	Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg
2018	—	`conf`	Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings. MLHC Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan
2017	—	`conf`	Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting. CinC Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen
2009	J	`jnl`	On the precarious path of reverse neuro-engineering. Frontiers Comput. Neurosci. Shimon Marom, Ron Meir, Erez Braun, Asaf Gal, Einat Kermany, Danny Eytan
2008	J	`jnl`	Order-Based Representation in Random Networks of Cortical Neurons. PLoS Comput. Biol. Goded Shahaf, Danny Eytan, Asaf Gal, Einat Kermany, Vladimir Lyakhov, Christoph Zrenner, Shimon Marom
2008	J	`jnl`	Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment. PLoS Comput. Biol. Avner Wallach, Danny Eytan, Shimon Marom, Ron Meir