Benjamin Bergner

According to our database, Benjamin Bergner authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

2024

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding.

Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi

CoRR, 2024

2023

Iterative Patch Selection for High-Resolution Image Recognition.

Benjamin Bergner, Christoph Lippert, Aravindh Mahendran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation.

Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert

CoRR, 2022

Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays.

Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison.

Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

An Engineering Approach Towards Multi-site Virtual Molecular Tumor Board Software.

Richard Henkenjohann, Benjamin Bergner, Florian Borchert, Nina Bougatf, Hauke Hund, Roland Eils, Matthieu-P. Schapranow

Proceedings of the ICT for Health, Accessibility and Wellbeing, 2021

2020

3D Self-Supervised Methods for Medical Imaging.

Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

MORPHER - A Platform to Support Modeling of Outcome and Risk Prediction in Health Research.

Harry Freitas Da Cruz, Benjamin Bergner, Orhan Konak, Frederic Schneider, Philipp Bode, Conrad Lempert, Matthieu-P. Schapranow

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

HPI-DHC at TREC 2018 Precision Medicine Track.

Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas Da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin P. Böttinger

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

2016

Active Subtopic Detection in Multitopic Data.

Benjamin Bergner, Georg Krempl

Proceedings of the Workshop on Active Learning: Applications, 2016