Manuel Nickel

According to our database, Manuel Nickel authored at least 4 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.

Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas

CoRR, December, 2025

Real-world federated learning in radiology: hurdles to overcome and benefits to gain.

Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren

J. Am. Medical Informatics Assoc., 2025

2024

FedPID: An Aggregation Method for Federated Learning.

Leon Mächler, Gustav Grimberg, Ivan Ezhov, Manuel Nickel, Suprosanna Shit, David Naccache, Johannes C. Paetzold

CoRR, 2024

2020

CPS: Class-level 6D Pose and Shape Estimation From Monocular Images.

Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab

CoRR, 2020