Seguir
Benjamin Bergner
Benjamin Bergner
Dirección de correo verificada de hpi.de
Título
Citado por
Citado por
Año
3D Self-Supervised Methods for Medical Imaging
A Taleb, W Loetzsch, N Danz, J Severin, T Gaertner, B Bergner, C Lippert
Proceedings of NeurIPS 2020, 2020
1962020
HPI-DHC at TREC 2018 Precision Medicine Track.
M Oleynik, E Faessler, AM Sasso, A Kappattanavar, B Bergner, ...
TREC, 2018
192018
Face mask detector
C Lippert, B Bergner, A Ahmed, R Ali, S Adeel, MH Shahriar, ...
University of Potsdam, 2020
152020
Self-supervised learning methods for label-efficient dental caries classification
A Taleb, C Rohrer, B Bergner, G De Leon, JA Rodrigues, F Schwendicke, ...
Diagnostics 12 (5), 1237, 2022
132022
Iterative Patch Selection for High-Resolution Image Recognition
B Bergner, C Lippert, A Mahendran
The Eleventh International Conference on Learning Representations (ICLR 2023), 2022
72022
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation
JM Burmeister, MF Rosas, J Hagemann, J Kordt, J Blum, S Shabo, ...
ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in …, 2022
52022
MORPHER-A Platform to Support Modeling of Outcome and Risk Prediction in Health Research
HF Da Cruz, B Bergner, O Konak, F Schneider, P Bode, C Lempert, ...
2019 IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019
32019
Interpretable and interactive deep multiple instance learning for dental caries classification in bitewing X-rays
B Bergner, C Rohrer, A Taleb, M Duchrau, G De Leon, JA Rodrigues, ...
Medical Imaging with Deep Learning (MIDL 2022), 2021
22021
An engineering approach towards multi-site virtual molecular tumor board software
R Henkenjohann, B Bergner, F Borchert, N Bougatf, H Hund, R Eils, ...
International Conference on ICT for Health, Accessibility and Wellbeing, 156-170, 2021
22021
Active Subtopic Detection in Multitopic Data.
B Bergner, G Krempl
AL@ iKNOW, 35-44, 2016
12016
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
B Bergner, A Skliar, A Royer, T Blankevoort, Y Asano, BE Bejnordi
arXiv preprint arXiv:2402.16844, 2024
2024
MACHINE LEARNING DETECTS ASSOCIATIONS BETWEEN RETINA FEATURES AND BLOOD PRESSURE STATUS IN RICE DIET PROGRAM PATIENTS
R Sommerfeld, C Lorenz, D Lopez, A Kuo, B Bergner, FCC Luft, C Lippert, ...
HYPERTENSION 79, 2022
2022
Abstract P305: MACHINE LEARNING DETECTS ASSOCIATIONS BETWEEN RETINA FEATURES AND BLOOD PRESSURE STATUS IN RICE DIET PROGRAM PATIENTS
R Sommerfeld, C Lorenz, D Lopez, A Kuo, B Bergner, FCC Luft, C Lippert, ...
Hypertension 79 (Suppl_1), AP305-AP305, 2022
2022
Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison
M Pullig, B Bergner, A Doshi, A Hennemuth, ZA Fayad, C Lippert
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
2022
The Regularizing Effect of Different Output Layer Designs in Deep Neural Networks
B Bergner, C Lippert
2021
HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis
T Henning, B Bergner, C Lippert
bioRxiv, 2020.07. 15.204891, 2020
2020
Appendix for: 3D Self-Supervised Methods for Medical Imaging
A Taleb, W Loetzsch, N Danz, J Severin, T Gaertner, B Bergner, C Lippert
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–17