Dr. Mina Jamshidi Idaji
Dr. Mina Jamshidi Idaji
Postdoctoral Researcher
Mina Jamshidi is a postdoctoral researcher working at the machine learning group, TU Berlin. She received her Ph.D. in machine learning from TU Berlin in 2022. She conducted her doctoral research at the Max Planck Institute CBS from 2018-2022. Her research involves using and developing ML methods for biomedical data analysis, including neural data analysis and computational pathology.
- Biomedical Data Analysis
- Computational Pathology
- Neural Data Analysis
- IEEE member
Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
Alhuda Dabbagh, Mina Jamshidi Idaji, Elinor Tzvi-Minker, Vadim Nikulin, Jost-Julian Rumpf, Joseph Classen
Absence of Evidence of Post-Training tDCS Effects on Motor Memory Consolidation and Premotor–Primary Motor Cortex Interaction: a resting-state EEG study
Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Carmen Vidaurre, Kshipra Gurunandan, Mina Jamshidi Idaji, Guido Nolte, Marisol Gómez, Arno Villringer, Klaus-Robert Müller, Vadim Nikulin
Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings
Mina Jamshidi Idaji, Juanli Zhang, Tilman Stephani, Guido Nolte, Klaus-Robert Müller, Arno Villringer, Vadim V. Nikulin