River Betting

contact

  • j.betting@erasmusmc.nl
  • +31 657996878
  • Room: Ee-1291
  • Dr. Molewaterplein 40, Faculty Building, Rotterdam, The Netherlands

Social Media

River Betting (J.L.F.)

Biography

River Betting (MSc, MA) studied Computer Engineering at Delft University of Technology and Russian and Eurasian Studies at Leiden University. Currently, they are a PhD candidate at the Erasmus Medical Center in Rotterdam (The Netherlands). They are interested in computer vision, deep learning, and algorithm development.

Education

2018

Master of Science

in Computer Engineering at Delft University of Technology

2017

Master of Arts

in Russian and Eurasian Studies at Leiden University

2015

Bachelor of Science

in Mechanical Engineering at Delft University of Technology

2014

Bachelor of Arts

in History at Leiden University

Publications

1. Oikonomos: An Opportunistic, Deep-Learning, Resource-Recommendation System for Cloud HPC.

Jan-Harm L. F. Betting, Dimitrios Liakopoulos, Max C. W. Engelen, Christos Strydis
in 2023
DOI: 10.1109/ASAP57973.2023.00039

2. Purkinje Cell Activity Resonation Generates Rhythmic Behaviors at the Preferred Frequency of 8 Hz.

Bauer S, van Wingerden N, Jacobs T, van der Horst A, Zhai P, Betting JLF, Strydis C, White JJ, De Zeeuw CI, Romano V
in Biomedicines 2022
DOI: 10.3390/biomedicines10081831

3. WhiskEras 2.0 - Fast and Accurate Whisker Tracking in Rodents.

Petros Arvanitis, Jan-Harm L. F. Betting, Laurens W. J. Bosman, Zaid Al-Ars, Christos Strydis
in 2021
DOI: 10.1007/978-3-031-04580-6_14

4. Stairway to Abstraction - an Iterative Algorithm for Whisker Detection in Video Frames.

Jan-Harm L. F. Betting, Vincenzo Romano, Laurens W. J. Bosman, Zaid Al-Ars, Chris I. De Zeeuw, Christos Strydis
in 2020 IEEE 11th Latin American Symposium on Circuits Systems (LASCAS) 2020
DOI: 10.1109/LASCAS45839.2020.9068992

5. WhiskEras: A New Algorithm for Accurate Whisker Tracking.

Betting JLF, Romano V, Al-Ars Z, Bosman LWJ, Strydis C, De Zeeuw CI
in Frontiers in cellular neuroscience 2020
DOI: 10.3389/fncel.2020.588445
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