Marcel Bengs

According to our database, Marcel Bengs authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Nodule detection and generation on chest X-rays: NODE21 Challenge.

Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy

CoRR, 2024

2023

Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy.

Marcel Bengs, Johanna Sprenger, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer

IEEE Trans. Biomed. Eng., September, 2023

Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning.

Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning.

Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer

IEEE Trans. Biomed. Eng., 2022

Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking.

Johanna Sprenger, Marcel Bengs, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2022

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.

Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction.

Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data.

Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning.

Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer

CoRR, 2021

3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI.

Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer

CoRR, 2021

4D deep learning for real-time volumetric optical coherence elastography.

Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2021

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.

Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2021

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets.

Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation.

Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer

Medical Image Anal., 2020

4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes.

Marcel Bengs, Nils Gessert, Alexander Schlaefer

CoRR, 2020

Synthesizing Strategies for Needle Steering in Gelatin Phantoms.

Antje Rogalla, Sascha Lehmann, Maximilian Neidhardt, Johanna Sprenger, Marcel Bengs, Alexander Schlaefer, Sibylle Schupp

Proceedings of the 4th Workshop on Models for Formal Analysis of Real Systems, 2020

4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification.

Marcel Bengs, Nils Gessert, Alexander Schlaefer

CoRR, 2020

A Deep Learning Approach for Motion Forecasting Using 4D OCT Data.

Marcel Bengs, Nils Gessert, Alexander Schlaefer

CoRR, 2020

4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation.

Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer

CoRR, 2020

Spatio-temporal deep learning methods for motion estimation using 4D OCT image data.

Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2020

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.

Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models.

Nils Gessert, Marcel Bengs, Alexander Schlaefer

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.

Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Deep Learning for High Speed Optical Coherence Elastography.

Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels.

Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer

CoRR, 2019

Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.

Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht

Int. J. Comput. Assist. Radiol. Surg., 2019