Matthew A. Reyna

According to our database, Matthew A. Reyna authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.

Seyedeh Somayyeh Mousavi, Matthew A. Reyna, Gari D. Clifford, Reza Sameni

Sensors, March, 2024

2023

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.

Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad

IEEE J. Biomed. Health Informatics, August, 2023

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization.

Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Gari D. Clifford, Matthew A. Reyna, Reza Sameni

CoRR, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.

Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2023

2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.

Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2022

2021

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.

Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah Wala, Ofer Shapira, Grace Tiao, Henrik Hornshøj, Julian M. Hess, Randi Istrup Juul, Ziao Lin, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, Yosef E. Maruvka, Ciyue Shen, Samirkumar B. Amin, Pratiti Bandopadhayay, Johanna Bertl, Keith A. Boroevich, John Busanovich, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Klev Diamanti, Nuno A. Fonseca, Abel Gonzalez-Perez, Qianyun Guo, Mark P. Hamilton, Nicholas J. Haradhvala, Chen Hong, Keren Isaev, Todd A. Johnson, Malene Juul, André Kahles, Abdullah Kahraman, Youngwook Kim, Jan Komorowski, Kiran Kumar, Sushant Kumar, Donghoon Lee, Kjong-Van Lehmann, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D. Roberts, Gordon Saksena, Steven E. Schumacher, Nikos Sidiropoulos, Lina Sieverling, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, Jose M. C. Tubio, Husen M. Umer, Liis Uusküla-Reimand, Claes Wadelius, Lina Wadi, Xiaotong Yao, Cheng-Zhong Zhang, Jing Zhang, James E. Haber, Asger Hobolth, Marcin Imielinski, Manolis Kellis, Michael S. Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J. Raphael, Mark A. Rubin, Chris Sander, Lincoln D. Stein, Joshua M. Stuart, Tatsuhiko Tsunoda, David A. Wheeler, Rory Johnson, Jüri Reimand, Mark Gerstein, Ekta Khurana, Peter J. Campbell, Núria López-Bigas, Gary D. Bader, Jonathan Barenboim, Rameen Beroukhim, Søren Brunak, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, J. Lynn Fink, Joan Frigola, Carlo Gambacorti Passerini, Dale W. Garsed, Gad Getz, Ivo Glynne Gut, David Haan, Arif Ozgun Harmanci, Mohamed Helmy, Ermin Hodzic, José M. G. Izarzugaza, Jong K. Kim, Jan O. Korbel, Erik Larsson, Shantao Li, Xiaotong Li, Shaoke Lou, Kathleen Marchal, Iñigo Martincorena, Alexander Martínez-Fundichely, Patrick D. McGillivray, William Meyerson, Ferran Muiños, Marta Paczkowska, Kiejung Park, Jakob Skou Pedersen, Tirso Pons, Sergio Pulido-Tamayo, Iker Reyes-Salazar, Matthew A. Reyna, Carlota Rubio-Perez, Süleyman Cenk Sahinalp, Leonidas Salichos, Mark Shackleton, Raunak Shrestha, Alfonso Valencia, Miguel Vazquez, Lieven P. C. Verbeke, Jiayin Wang, Jonathan Warrell, Sebastian M. Waszak, Joachim Weischenfeldt, Guanming Wu, Jun Yu, Xuanping Zhang, Yan Zhang, Zhongming Zhao, Lihua Zou, Kadir C. Akdemir, Eva G. Alvarez, Adrian Baez-Ortega, Paul C. Boutros, David D. L. Bowtell, Benedikt Brors, Kathleen H. Burns, Kin Chan, Isidro Cortés-Ciriano, Ana Dueso-Barroso, Andrew J. Dunford, Paul A. Edwards, Xavier Estivill, Dariush Etemadmoghadam, Milana Frenkel-Morgenstern, Dmitry A. Gordenin, Barbara Hutter, David T. W. Jones, Young Seok Ju, Marat D. Kazanov, Leszek J. Klimczak, Youngil Koh, Eunjung Alice Lee, Jake June-Koo Lee, Andy G. Lynch, Geoff MacIntyre, Florian Markowetz, Matthew Meyerson, Satoru Miyano, Fabio C. P. Navarro, Stephan Ossowski, Peter J. Park, John V. Pearson, Montserrat Puiggròs, Karsten Rippe, Steven A. Roberts, Bernardo Rodriguez-Martin, Ralph Scully, David Torrents, Izar Villasante, Nicola Waddell, Jeremiah A. Wala, Lixing Yang, Sung-Soo Yoon, Jorge Zamora

Nat., 2020

Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019.

Matthew A. Reyna, Gari D. Clifford

CoRR, 2020

NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks.

Matthew A. Reyna, Uthsav Chitra, Rebecca Elyanow, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.

Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2020

2019

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.

Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

Proceedings of the 46th Computing in Cardiology, 2019

2018

Hierarchical HotNet: identifying hierarchies of altered subnetworks.

Matthew A. Reyna, Mark D. M. Leiserson, Benjamin J. Raphael

Bioinform., 2018

2016

A weighted exact test for mutually exclusive mutations in cancer.

Mark D. M. Leiserson, Matthew A. Reyna, Benjamin J. Raphael

Bioinform., 2016

2015

Operator Bounds and Time Step Conditions for the DG and Central DG Methods.

Matthew A. Reyna, Fengyan Li

J. Sci. Comput., 2015