Niklas Tillmanns

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 2

Top Topics

Convolutional Neural Network

Artificial Intelligence

Top Venues

AJNR. American journal of neuroradiology

Neuro-oncology advances

This page only lists publications with an associated author ORCID identifier.

Publications

Jan Lost, Leon Jekel, Leon Jekel, Marc von Reppert, Niklas Tillmanns, Sara Merkaj, Gabriel Cassinelli Petersen, Ryan C Bahar, Ayyüce Gordem, Muhammad A Haider, Harry Subramanian, Waverly Brim, Ichiro Ikuta, Antonio Omuro, Gian Marco Conte, Bernadette V Marquez-Nostra, Arman Avesta, Khaled Bousabarah, Ali Nabavizadeh, Anahita Fathi Kazerooni, Sanjay Aneja, Spyridon Bakas, Ming-De Lin, Michael Sabel, Mariam S Aboian
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. AJNR. American journal of neuroradiology (2023)
Niklas Tillmanns, Avery E Lum, Gabriel Cassinelli, Sara Merkaj, Tej Verma, Tal Zeevi, Lawrence Staib, Harry Subramanian, Ryan C Bahar, Waverly Brim, Jan Lost, Leon Jekel, Alexandria Brackett, Sam Payabvash, Ichiro Ikuta, MingDe Lin, Khaled Bousabarah, Michele H Johnson, Jin Cui, Joseph Schindler, Antonio Omuro, Bernd Turowski, Mariam S Aboian
Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries. Neuro-oncology advances 4 (1) (2022)