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

May 20, 2020
Nils Gessert, Marcel Bengs, Matthias Schlüter, 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 Schlüter, 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 Krüger, 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, René 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 Matthäus, 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 Jünemann, 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 Drömann, 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, Rüdiger Schmitz, Helge Kniep, Ivo Baltruschat, René 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, Lüder 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 Schlüter, 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 Drömann, 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 Schlüter, 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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Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting

Aug 05, 2018
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo Baltruschat, René Werner, Alexander Schlaefer

* ISIC Skin Image Analysis Workshop and Challenge @ MICCAI 2018. Second place at challenge, best with public data, see https://challenge2018.isic-archive.com/leaderboards/ 

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Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks

Jul 10, 2018
Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer

* Presented at CURAC 2018 conference 

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Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture

May 30, 2018
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer

* Accepted for Publication at MICCAI 2018 

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Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification

May 16, 2018
Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer

* Presented at MIDL 2018 Conference https://openreview.net/forum?id=SJWY1Ujsz 

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Force Estimation from OCT Volumes using 3D CNNs

Apr 26, 2018
Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer

* Published in the International Journal of Computer Assisted Radiology and Surgery 

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Design and implementation of a wireless instrument adapter

Apr 17, 2018
Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu, Kim Lindberg Schwaner, Nils Gessert, Alexander Schlaefer

* Published at CURAC 2017 

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Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning

Apr 11, 2018
Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer

* Submitted to CARS 2018, accepted for publication 

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A Deep Learning Approach for Pose Estimation from Volumetric OCT Data

Mar 10, 2018
Nils Gessert, Matthias Schlüter, Alexander Schlaefer

* https://doi.org/10.1016/j.media.2018.03.002 

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