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Florian Stelzle

Researcher at University of Erlangen-Nuremberg

Publications -  110
Citations -  2342

Florian Stelzle is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Laser surgery & Laser ablation. The author has an hindex of 23, co-authored 103 publications receiving 1866 citations.

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Clinical outcomes of sinus floor augmentation for implant placement using autogenous bone or bone substitutes: a systematic review.

TL;DR: The retrieved evidence provides a low level of support for selection of AB or a bone substitute in sinus floor augmentation in partially dentate or edentulous patients and clear reasons could not be identified that should prompt the clinician to prefer AB or BS.
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

TL;DR: In this article, a novel automatic approach for OSCC diagnosis using deep learning technologies on Confocal Laser Endomicroscopy (CLE) images was presented and evaluated using a CNN-based approach.
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning

TL;DR: A novel automatic approach for OSCC diagnosis using deep learning technologies on CLE images is presented and compared against textural feature-based machine learning approaches that represent the current state of the art.
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Implants in bone: Part I. A current overview about tissue response, surface modifications and future perspectives

TL;DR: The survival rates of dental implants in bone of over 90 % after 10 years show that they are an effective and well-established therapy option, however, new implant materials and surface modifications may be able to improve osseointegration of medical implants especially when the wound healing is compromised.
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A shifted-excitation Raman difference spectroscopy (SERDS) evaluation strategy for the efficient isolation of Raman spectra from extreme fluorescence interference

TL;DR: In this article, the authors compared various spectra-processing approaches required for the purification of Raman spectra from heavily fluorescence-interfered raw spectra according to the shifted-excitation Raman difference spectroscopy method.