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ORCIDMarcel Bengs
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2020 – today
- 2024
[j9]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): 2839-2853 (2024)- [i19]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 abs/2401.02192 (2024) - 2023
- [j8]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): 2690-2699 (2023) - [c10]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 - 2022
- [j7]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): 2131-2139 (2022) - [j6]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): 3356-3364 (2022) - [c9]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: 1-4 - [c8]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 - [c7]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: 429-438 - [i18]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 abs/2201.13081 (2022) - [i17]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 abs/2204.05745 (2022) - [i16]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 abs/2204.05778 (2022) - [i15]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 abs/2209.01937 (2022) - 2021
- [j5]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): 23-27 (2021) - [j4]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): 1413-1423 (2021) - [c6]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. Medical Imaging: Digital Pathology 2021 - [i14]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets. CoRR abs/2109.05025 (2021) - [i13]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 abs/2109.06540 (2021) - [i12]Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. CoRR abs/2109.06547 (2021) - 2020
- [j3]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): 943-952 (2020) - [j2]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: 101730 (2020) - [c5]Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer:
Deep Learning for High Speed Optical Coherence Elastography. ISBI 2020: 1583-1586 - [c4]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 - [c3]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 - [c2]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: 690-699 - [c1]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: 261-274 - [i11]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 abs/2004.09216 (2020) - [i10]Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. CoRR abs/2004.10114 (2020) - [i9]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. CoRR abs/2004.10121 (2020) - [i8]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 abs/2004.10159 (2020) - [i7]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. CoRR abs/2004.10165 (2020) - [i6]Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer:
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. CoRR abs/2005.10033 (2020) - [i5]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 abs/2007.01042 (2020) - [i4]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. CoRR abs/2007.01044 (2020)
2010 – 2019
- 2019
- [j1]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): 1837-1845 (2019) - [i3]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 abs/1905.07991 (2019) - [i2]Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR abs/1908.04186 (2019) - [i1]Nils Gessert, Marcel Bengs, Alexander Schlaefer:
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. CoRR abs/1911.02322 (2019)
Coauthor Index
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last updated on 2024-09-10 01:13 CEST by the dblp team
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