Marcel Bengs - RankMe

38 papers B 1Journal 28Unranked 9

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