no code implementations • 28 Mar 2022 • Gerardo Flores, George H. Chen, Tom Pollard, Joyce C. Ho, Tristan Naumann
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022.
no code implementations • 29 Jun 2020 • Alejandro Flores, Gerardo Flores
This paper presents the implementation of a Recurrent Neural Network (RNN) based-controller for the stabilization of the flight transition maneuver (hover-cruise and vice versa) of a tail-sitter UAV.
1 code implementation • 19 Apr 2020 • Sebastián Salazar-Colores, Hugo Alberto-Moreno, César Javier Ortiz-Echeverri, Gerardo Flores
In laparoscopic surgery, the visibility in the image can be severely degraded by the smoke caused by the $CO_2$ injection, and dissection tools, thus reducing the visibility of organs and tissues.
Generative Adversarial Network Image-to-Image Translation +2
no code implementations • 14 Nov 2019 • Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai
Time series data are prevalent in electronic health records, mostly in the form of physiological parameters such as vital signs and lab tests.
no code implementations • 10 Jul 2019 • Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew Dai, Michael Howell, Greg Corrado, Claire Cui, Moritz Hardt
We consider explanations in a temporal setting where a stateful dynamical model produces a sequence of risk estimates given an input at each time step.
2 code implementations • 11 Jun 2019 • Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai
A recent study showed that using the graphical structure underlying EHR data (e. g. relationship between diagnoses and treatments) improves the performance of prediction tasks such as heart failure prediction.
no code implementations • 15 May 2019 • Sergio Trejo, Karla Martinez, Gerardo Flores
To determine if there is a free space large enough for the quadrotor to pass through, our approach marks an area inside the disparity map by using the Kalman Filter output information.
no code implementations • 24 Jan 2018 • Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg Corrado, Jeff Dean
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality.