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Real-time tractography: computation and visualization

M. Chamberland, J. Y. Yang, Dogu Baran Aydogan

Diffusion MRI GAN synthesizing fibre orientation distribution data using generative adversarial networks

S. Vellmer, Dogu Baran Aydogan, Timo Roine, A. Cacciola, T. Picht, L. S. Fekonja

Translational network neuroscience: Nine roadblocks and possible solutions

L. S. Fekonja, S. J. Forkel, Dogu Baran Aydogan, Pantelis Lioumis, A. Cacciola, C. W. Lucas, J. D. Tournier, F. Vergani, P. Ritter, R. Schenk, B. Shams

Early TMS---EEG responses predict symptom severity in major depressive disorder

Elena Ukharova, Isabella O'Meeghan, Sabin Sathyan, Ida Granö, Oskari Ahola, Noora Kainulainen, Dogu Baran Aydogan, Risto Ilmoniemi, Timo Roine, Pantelis Lioumis

Network engagement prior to brain stimulation: current state and future vision

Pantelis Lioumis, S. Autti, Dogu Baran Aydogan, Ida Granö, J. Gogulski, M. Liljeström, H. Renvall, Elena Ukharova, S. Vaalto, Risto Ilmoniemi

Optimization of TMS target engagement: current state and future perspectives

Pantelis Lioumis, Timo Roine, Ida Granö, Dogu Baran Aydogan, Elena Ukharova, Victor H. Souza, D. Kičić, Risto J. Ilmoniemi, Nikos Makris

Personalized strategies of brain stimulation targeting based on TMS--EEG

Ida Granö, Dogu Baran Aydogan, Risto Ilmoniemi, Olli-Pekka Kahilakoski, Tuomas Mutanen, Timo Roine, Sabin Sathyan, Victor Souza, Elena Ukharova, Pantelis Lioumis

Preliminary investigation on EEG phase-triggered TMS with concurrent fMRI

Joonas Laurinoja, Umair Hassan, Mikko Nyrhinen, Matilda Makkonen, Pantelis Lioumis, Fa-Hsuan Lin, Christoph Zrenner, Risto J. Ilmoniemi, Dogu Baran Aydogan

Real-time tractography-assisted neuronavigation for Transcranial Magnetic Stimulation

Dogu Baran Aydogan, Victor H. Souza, R. H. Matsuda, Pantelis Lioumis, Risto J. Ilmoniemi

Towards TMS--EEG inside MRI: Challenges of reproducing TEPs inside and outside a MRI scanner

Joonas Laurinoja, Ida Granö, Ella Teuscher, Risto Ilmoniemi, Martin Tik, Pantelis Lioumis, Dogu Baran Aydogan