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)

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. - Nils Gessert; Martin Gromniak; Marcel Bengs; Lars Matthäus; Alexander Schlaefer (CoRR, 2019)

Deep Learning for High Speed Optical Coherence Elastography. - Maximilian Neidhardt; Marcel Bengs; Sarah Latus; Matthias Schlüter; Thore Saathoff; Alexander Schlaefer (ISBI, 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 (Computer-Aided Diagnosis, 2020)

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. - Nils Gessert; Marcel Bengs; Alexander Schlaefer (Computer-Aided Diagnosis, 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 (MICCAI (3), 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)

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)

A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. - Marcel Bengs; Nils Gessert; Alexander Schlaefer (CoRR, 2020)

4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. - 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 (MARS@ETAPS, 2020)

4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. - Marcel Bengs; Nils Gessert; Alexander Schlaefer (CoRR, 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)

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. - Marcel Bengs; Michael Bockmayr; Ulrich Schüller; Alexander Schlaefer (Digital Pathology, 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)

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)

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)

Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. - Marcel Bengs; Satish Pant; Michael Bockmayr; Ulrich Schüller; Alexander Schlaefer (CoRR, 2021)

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 (ISBI, 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 (Computer-Aided Diagnosis, 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; et al. (MICCAI (3), 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)

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)

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 (Image Processing, 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., 2023)

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; et al. (IEEE Trans. Medical Imaging, 2024)