Harmoni
A pypi package for Harmonic minimization
Posts by Collection
portfolio
NID
Nonlinear Interaction Decomposition br/>
publications
Automatic detection of the optic disc of the retina: A fast method
Journal of medical signals and sensors, 2016
M. Jamshidi Idaji, H. Rabbani, Z. Amini, R. Kafieh, A. Ommani, V. Lakshminarayanan
Higher order spectral regression discriminant analysis (HOSRDA): A tensor feature reduction method for ERP detection
Pattern Recognition, 2017
M. Jamshidi Idaji, M.B. Shamsollahi, S. Hajipour Sardoui
Nonlinear Interaction Decomposition (NID): A Method for Separation of Cross-frequency Coupled Sources in Human Brain
NeuroImage, 2020
M. Jamshidi Idaji, K.R. Müller, G. Nolte, B. Maess, A. Villringer, V.V. Nikulin
Oscillatory Source Tensor Discriminant Analysis (OSTDA): a regularized tensor pipeline for SSVEP-based BCI systems
Neurocomputing, 2021
T. Jorajuría*, M. Jamshidi Idaji*, Z. İşcan, M. Gómez, V.V. Nikulin, C. Vidaurre (*Both authors contributed equally.)
Neuronal Biomarkers of Parkinson’s Disease are Present in Healthy Aging
NeuroImage, 2021
J. Zhang, M. Jamshidi Idaji, A. Villringer, V.V. Nikulin
Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data
NeuroImage, 2022
M. Jamshidi Idaji, J. Zhang, T. Stephani, G. Nolte, K. R. Müller, A. Villringer, V.V. Nikulin
Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data
J Neuroengineering, 2024
N. Kapralov, M. Jamshidi Idaji, et al.
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
NeurIPS, 2024
J. Hense*, M. Jamshidi Idaji*, et al.
Digital Spatial Pathway Mapping Reveals Prognostic Tumor States in Head and Neck Cancer
bioRxiv, 2025
J. Hense*, M. Jamshidi Idaji*, et al.
talks
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teaching
Teaching Assistant
Undergraduate Courses, Isfahan University of Technology, Electrical Engineering Dept., 2014
2012-2014
Teaching Assistant
Graduate course, Sharif University of Technology, Electrical Engineering Dept., 2016
2015-2016
Intro to Machine Learning
Workshop, IMPRS NeuroCom Retreat, 2019
A joint work with Kornelius Podranski, for IMPRS NeuroCom Retreat 2019.
Intro to MEEG Preprocessing
Workshop, Max Planck School of Cognition, 2020–2022
Hands-on sessions of the course “Methods in Cognitive Neuroscience” at Max Planck School of Cognition.
Tutor
Workshop, Neuromatch Academy, 2020
Tutor at the Neuromatch Academy 2020, taking place in July 2020.
Tutor - Intro to Graph Theory
Workshop, CoCoNUT @ MPI CBS, 2021
hands-on sessions at CoCoNUT @ MPI CBS.
Lecturer - Machine Learning Lab Course
Course, Machine Learning Group @ TU Berlin, 2023–Present
This is an M.Sc. module in the summer semester 2023 (April - October 2023) at Technical University Berlin. In this course, students implement classical machine learning methods from scratch in Python.
Lecturer - Project Machine Learning
Course, Machine Learning Group @ TU Berlin, 2023–Present
This is an M.Sc. module in the winter semester 2023/2024 (October 2023 - April 2024) at Technical University Berlin.