Marcel Bengs

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

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Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Imaging: Computer-Aided Diagnosis

Publications

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
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging 43 (8) (2024)
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
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR (2024)
Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer
Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning. Medical Imaging: Image Processing (2023)
Marcel Bengs, Johanna Sprenger, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer
Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy. IEEE Trans. Biomed. Eng. 70 (9) (2023)
Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer
Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning. IEEE Trans. Biomed. Eng. 69 (11) (2022)
Johanna Sprenger, Marcel Bengs, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking. Int. J. Comput. Assist. Radiol. Surg. 17 (11) (2022)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. CoRR (2022)
Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer
Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning. CoRR (2022)
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data. CoRR (2022)
Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. ISBI (2022)
Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction. CoRR (2022)
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
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. MICCAI (3) (2022)
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. CoRR (2021)
Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets. CoRR (2021)
Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. Medical Imaging: Digital Pathology (2021)
Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. CoRR (2021)
Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer
4D deep learning for real-time volumetric optical coherence elastography. Int. J. Comput. Assist. Radiol. Surg. 16 (1) (2021)
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI. Int. J. Comput. Assist. Radiol. Surg. 16 (9) (2021)
Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. CoRR (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. CoRR (2020)
Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. CoRR (2020)
Antje Rogalla, Sascha Lehmann, Maximilian Neidhardt, Johanna Sprenger, Marcel Bengs, Alexander Schlaefer, Sibylle Schupp
Synthesizing Strategies for Needle Steering in Gelatin Phantoms. MARS@ETAPS (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. MICCAI (3) (2020)
Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. Medical Image Anal. 64 (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. CoRR (2020)
Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. CoRR (2020)
Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data. Int. J. Comput. Assist. Radiol. Surg. 15 (6) (2020)
Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer
Deep Learning for High Speed Optical Coherence Elastography. ISBI (2020)
Nils Gessert, Marcel Bengs, Alexander Schlaefer
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. Medical Imaging: Computer-Aided Diagnosis (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. CoRR (2020)
Nils Gessert, Marcel Bengs, Alexander Schlaefer
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. CoRR (2019)
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. Int. J. Comput. Assist. Radiol. Surg. 14 (11) (2019)
Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR (2019)
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. CoRR (2019)