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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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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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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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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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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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