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A novel optical needle probe for deep learning-based tissue elasticity characterization


Sep 20, 2021
Robin Mieling, Johanna Sprenger, Sarah Latus, Lennart Bargsten, Alexander Schlaefer

* Current Directions in Biomedical Engineering 7 (2021) 21-25 
* Accepted at CURAC 2021, 2nd Place in the Best Paper Awards 

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


Sep 14, 2021
Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Sch├╝ller, Alexander Schlaefer

* Accepted at CURAC 2021 

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


Sep 14, 2021
Marcel Bengs, Finn Behrendt, Julia Kr├╝ger, Roland Opfer, Alexander Schlaefer

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) 

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Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets


Sep 10, 2021
Marcel Bengs, Michael Bockmayr, Ulrich Sch├╝ller, Alexander Schlaefer

* Accepted at SPIE Medical Imaging 2021 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11603/116030D/Medulloblastoma-tumor-classification-using-deep-transfer-learning-with-multi-scale/10.1117/12.2580717.full?SSO=1 

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Cold Posteriors Improve Bayesian Medical Image Post-Processing


Jul 12, 2021
Max-Heinrich Laves, Malte T├Âlle, Alexander Schlaefer


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Posterior Temperature Optimization in Variational Inference


Jun 11, 2021
Max-Heinrich Laves, Malte T├Âlle, Alexander Schlaefer

* under review 

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Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs


Aug 05, 2020
Nils Gessert, Julia Kr├╝ger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer

* Accepted for publication in Computerized Medical Imaging and Graphics 

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


Jul 02, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted at CURAC 2020 

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


Jul 02, 2020
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

* Accepted at MICCAI 2020 

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


May 20, 2020
Nils Gessert, Marcel Bengs, Matthias Schl├╝ter, Alexander Schlaefer

* Accepted for publication in Medical Image Analysis 

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


Apr 21, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted at MIDL 2019 

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


Apr 21, 2020
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Mueller, Christian Betz, Wiebke Laffers, Alexander Schlaefer

* Accepted at SPIE Medical Imaging 2020 

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


Apr 21, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted for publication at MIDL 2020: https://openreview.net/forum?id=WVd56kgRV 

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Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data


Apr 21, 2020
Marcel Bengs, Nils Gessert, Matthias Schl├╝ter, Alexander Schlaefer

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) 

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4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation


Apr 20, 2020
Nils Gessert, Marcel Bengs, Julia Kr├╝ger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer

* Accepted at MIDL 2020 

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Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs


Jan 25, 2020
Nils Gessert, Alexander Schlaefer


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


Nov 06, 2019
Nils Gessert, Marcel Bengs, Alexander Schlaefer

* Accepted at SPIE Medical Imaging 2020 

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Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data


Oct 09, 2019
Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, Ren├ę Werner, Alexander Schlaefer

* First place at the ISIC 2019 Skin Lesion Classification Challenge https://challenge2019.isic-archive.com/leaderboard.html 

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


Aug 12, 2019
Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matth├Ąus, Alexander Schlaefer

* Accepted at the CURAC 2019 Conference 

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Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs


Aug 12, 2019
Nils Gessert, Alexander Schlaefer

* Accepted at the MICCAI Workshop STACOM 2019 

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Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion


May 22, 2019
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter J├╝nemann, Christoph Otte, Alexander Schlaefer

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery 

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Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images


May 20, 2019
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Dr├Âmann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) 

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Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting


May 09, 2019
Nils Gessert, Thilo Sentker, Frederic Madesta, R├╝diger Schmitz, Helge Kniep, Ivo Baltruschat, Ren├ę Werner, Alexander Schlaefer

* Accepted for publication in IEEE Transactions on Biomedical Engineering 

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Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation


May 07, 2019
Nils Gessert, Alexander Schlaefer

* Accepted at MIDL 2019: https://openreview.net/forum?id=Syg3FDjntN 

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Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery


Mar 23, 2019
Max-Heinrich Laves, Sarah Latus, Jan Bergmeier, Tobias Ortmaier, L├╝der A. Kahrs, Alexander Schlaefer

* Accepted for publication at the 33rd international conference on Computer Assisted Radiology and Surgery (CARS) 2019 

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Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods


Feb 10, 2019
Nils Gessert, Matthias Schl├╝ter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer

* Accepted for publication at CARS 2019 

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Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks


Dec 05, 2018
Nils Gessert, Lukas Wittig, Daniel Dr├Âmann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht

* Accepted at BVM Workshop 2019 

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Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation


Oct 22, 2018
Nils Gessert, Martin Gromniak, Matthias Schl├╝ter, Alexander Schlaefer

* Accepted at SPIE: Medical Imaging 2019 

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Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization


Oct 22, 2018
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer

* Accepted at SPIE: Medical Imaging 2019 

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Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks


Aug 24, 2018
Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer

* Accepted for Publication in IEEE Transactions on Medical Imaging 

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