Simon Lyra - RankMe

12 papers Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	A Physical Phantom for the Simulation of Neonatal Thermoregulation. EMBC Florian Voss, Lennard Tiltmann, Simon Lyra, Steffen Leonhardt, Markus J. Lüken
2023	J	`jnl`	Comparison of Machine Learning Classifiers for the Detection of Breast Cancer in an Electrical Impedance Tomography Setup. Algorithms Jöran Rixen, Nico Blass, Simon Lyra, Steffen Leonhardt
2023	J	`jnl`	Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset. Sensors Simon Lyra, Arian Mustafa, Jöran Rixen, Stefan Borik, Markus J. Lüken, Steffen Leonhardt
2023	—	`conf`	Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning. EMBC Simon Lyra, Jinyi Jin, Steffen Leonhardt, Markus J. Lüken
2023	—	`conf`	Shape analysis of training data for neural networks in Electrical Impedance Tomography. EMBC Jöran Rixen, Benedikt Eliasson, Simon Lyra, Steffen Leonhardt
2022	J	`jnl`	A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom. Sensors Florian Voss, Simon Lyra, Daniel Blase, Steffen Leonhardt, Markus J. Lüken
2022	J	`jnl`	Camera fusion for real-time temperature monitoring of neonates using deep learning. Medical Biol. Eng. Comput. Simon Lyra, Jöran Rixen, Konrad Heimann, Srinivasa Karthik, Jayaraj Joseph, Kumutha Jayaraman, Thorsten Orlikowsky, Mohanasankar Sivaprakasam, Steffen Leonhardt, Christoph Hoog Antink
2022	—	`conf`	Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning. ICIAP (1) Simon Lyra, Ines Groß-Weege, Steffen Leonhardt, Markus J. Lüken
2021	J	`jnl`	A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients. Sensors Simon Lyra, Leon Mayer, Liyang Ou, David Chen, Paddy Timms, Andrew Tay, Peter Y. Chan, Bergita Ganse, Steffen Leonhardt, Christoph Hoog Antink
2021	J	`jnl`	A Neonatal Phantom for Vital Signs Simulation. IEEE Trans. Biomed. Circuits Syst. Simon Lyra, Florian Voss, André Coenen, Daniel Blase, Idoia Badiola Aguirregomezcorta, Durmus Umutcan Uguz, Steffen Leonhardt, Christoph Hoog Antink
2020	J	`jnl`	Fast body part segmentation and tracking of neonatal video data using deep learning. Medical Biol. Eng. Comput. Christoph Hoog Antink, Joana Carlos Mesquita Ferreira, Michael Paul, Simon Lyra, Konrad Heimann, Srinivasa Karthik, Jayaraj Joseph, Kumutha Jayaraman, Thorsten Orlikowsky, Mohanasankar Sivaprakasam, Steffen Leonhardt
2019	—	`conf`	Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data. CinC Simon Lyra, Steffen Leonhardt, Christoph Hoog Antink