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2020 – today
- 2024
[i5]Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi:
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR abs/2402.16844 (2024)- 2023
- [c8]Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Iterative Patch Selection for High-Resolution Image Recognition. ICLR 2023 - 2022
- [c7]Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth
, Zahi A. Fayad, Christoph Lippert:
Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. Bildverarbeitung für die Medizin 2022: 204-209 - [c6]Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert:
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. MIDL 2022: 130-149 - [i4]Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert:
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. CoRR abs/2207.00845 (2022) - [i3]Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Iterative Patch Selection for High-Resolution Image Recognition. CoRR abs/2210.13007 (2022) - 2021
- [c5]Richard Henkenjohann, Benjamin Bergner, Florian Borchert, Nina Bougatf, Hauke Hund, Roland Eils, Matthieu-P. Schapranow:
An Engineering Approach Towards Multi-site Virtual Molecular Tumor Board Software. IHAW 2021: 156-170 - [i2]Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert:
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. CoRR abs/2112.09694 (2021) - 2020
- [c4]Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert:
3D Self-Supervised Methods for Medical Imaging. NeurIPS 2020 - [i1]Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert:
3D Self-Supervised Methods for Medical Imaging. CoRR abs/2006.03829 (2020)
2010 – 2019
- 2019
- [c3]Harry Freitas Da Cruz, Benjamin Bergner, Orhan Konak, Frederic Schneider, Philipp Bode, Conrad Lempert, Matthieu-P. Schapranow:
MORPHER - A Platform to Support Modeling of Outcome and Risk Prediction in Health Research. BIBE 2019: 462-469 - 2018
- [c2]Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas Da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin P. Böttinger:
HPI-DHC at TREC 2018 Precision Medicine Track. TREC 2018 - 2016
- [c1]Benjamin Bergner, Georg Krempl:
Active Subtopic Detection in Multitopic Data. AL@iKNOW 2016: 35-44
Coauthor Index
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