Takip et
Didem Stark (née Korkmaz)
Didem Stark (née Korkmaz)
Bernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin
bccn-berlin.de üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis
T Avsar, D Korkmaz, M Tütüncü, NO Demirci, S Saip, M Kamasak, A Siva, ...
Multiple Sclerosis Journal 18 (8), 1081-1091, 2012
572012
Motion responses in scene selective regions
D Korkmaz Hacialihafiz, A Bartels
NeuroImage, 2015
152015
Mri image registration considerably improves CNN-based disease classification
M Klingenberg, D Stark, F Eitel, K Ritter, ...
Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021
52021
Higher performance for women than men in MRI-based Alzheimer’s disease detection
M Klingenberg, D Stark, F Eitel, C Budding, M Habes, K Ritter, ...
Alzheimer's Research & Therapy 15 (1), 84, 2023
12023
Identifying confounders in deep-learning-based model predictions using DeepRepViz
RP Rane, JH Kim, A Umesha, D Stark, MA Schulz, K Ritter
arXiv preprint arXiv:2309.15551, 2023
2023
AIM and Gender Aspects
D Stark, K Ritter
Artificial Intelligence in Medicine, 1-10, 2020
2020
Speed tuning to real-world-and retinal motion in cortical motion regions
DK Hacialihafiz, A Bartels
bioRxiv, 449256, 2018
2018
Motion regions are modulated by scene content
D Korkmaz Hacialihafiz, A Bartels
bioRxiv, 255406, 2018
2018
Objective (Real-world) Motion Responses in Scene Responsive Regions
DK Hacialihafiz, A Bartels
bioRxiv, 145573, 2017
2017
Real-world Motion Responses in Scene Responsive Regions
D Korkmaz-Hacialihafiz, A Bartels
59th Conference of Experimental Psychologists (TeaP 2017), 84, 2017
2017
Neural Representations of Self-Motion During Natural Scenes in the Human Brain
D Korkmaz Hacialihafiz
University of Tuebingen, 2017
2017
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–11