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Artificial intelligence‐based PRO score assessment in actinic keratoses from LC‐OCT imaging using Convolutional Neural Networks
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Artificial intelligence‐based PRO score assessment in actinic keratoses from LC‐OCT imaging using Convolutional Neural Networks

Thamm, Janis R. ; Daxenberger, Fabia ; Viel, Théo ; Gust, Charlotte ; Eijkenboom, Quirine ; French, Lars E. ; Welzel, Julia ; Sattler, Elke C. ; Schuh, Sandra

Journal der Deutschen Dermatologischen Gesellschaft, 2023-11, Vol.21 (11), p.1359-1366 [Periódico revisado por pares]

Berlin: Wiley Subscription Services, Inc

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2
Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System
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Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System

Schelb, Patrick ; Tavakoli, Anoshirwan Andrej ; Tubtawee, Teeravut ; Hielscher, Thomas ; Radtke, Jan-Philipp ; Görtz, Magdalena ; Schütz, Viktoria ; Kuder, Tristan Anselm ; Schimmöller, Lars ; Stenzinger, Albrecht ; Hohenfellner, Markus ; Schlemmer, Heinz-Peter ; Bonekamp, David

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2021-05, Vol.193 (5), p.559-573 [Periódico revisado por pares]

Rüdigerstraße 14, 70469 Stuttgart, Germany: Georg Thieme Verlag KG

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3
A deep learning network based on multi-scale and attention for the diagnosis of chronic atrophic gastritis
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Artigo
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A deep learning network based on multi-scale and attention for the diagnosis of chronic atrophic gastritis

Chong, Yanwen ; Xie, Ningdi ; Liu, Xin ; Zhang, Meng ; Huang, Fengxing ; Fang, Jun ; Wang, Fan ; Pan, Shaoming ; Nie, Haihang ; Zhao, Qiu

Zeitschrift für Gastroenterologie, 2022-12, Vol.60 (12), p.1770-1778 [Periódico revisado por pares]

Rüdigerstraße 14, 70469 Stuttgart, Germany: Georg Thieme Verlag KG

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4
Ortsaufgelöste spektrale Entmischung mit Hilfe von konvolutionalen neuronalen Netzen / Spatially resolved spectral unmixing using convolutional neural networks
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Ortsaufgelöste spektrale Entmischung mit Hilfe von konvolutionalen neuronalen Netzen / Spatially resolved spectral unmixing using convolutional neural networks

Anastasiadis, Johannes ; Puente León, Fernando

Technisches Messen, 2019-09, Vol.86 (1), p.122-126 [Periódico revisado por pares]

De Gruyter Oldenbourg

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5
Einsatz von Methoden des maschinellen Lernens in der CT-Messtechnik
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Einsatz von Methoden des maschinellen Lernens in der CT-Messtechnik

Höhne, Robin ; Hagner, Lutz

Technisches Messen, 2019-11, Vol.86 (11), p.699-705 [Periódico revisado por pares]

De Gruyter Oldenbourg

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6
Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
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Livro
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Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

Felica Tatzel, Leonie

Karlsruhe: KIT Scientific Publishing 2022

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7
Automated assessment of immunofixations with deep neural networks
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Automated assessment of immunofixations with deep neural networks

Thiemann, Christian ; Klitzke, Britta ; Martinetz, Philipp ; Grüning, Philipp ; Käster, Thomas ; Barth, Erhardt ; Kramer, Jan ; Martinetz, Thomas

Journal of laboratory medicine, 2022-10, Vol.46 (5), p.331-336 [Periódico revisado por pares]

De Gruyter

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8
Lightweight Real-time Detection of Components via a Micro Aerial Vehicle with Domain Randomization Towards Structural Health Monitoring
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Artigo
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Lightweight Real-time Detection of Components via a Micro Aerial Vehicle with Domain Randomization Towards Structural Health Monitoring

Agyemang, Isaac Osei ; Zhang, Xiaoling ; Adjei-Mensah, Isaac ; Arhin, Joseph Roger ; Agyei, Emmanuel

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2022-04, Vol.66 (2), p.516 [Periódico revisado por pares]

Budapest: Periodica Polytechnica, Budapest University of Technology and Economics

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9
Pavement distress detection by stereo vision / Straßenzustandserkennung durch stereoskopische Bildverarbeitung
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Pavement distress detection by stereo vision / Straßenzustandserkennung durch stereoskopische Bildverarbeitung

Brunken, Hauke ; Gühmann, Clemens

Technisches Messen, 2019-09, Vol.86 (1), p.42-46 [Periódico revisado por pares]

De Gruyter Oldenbourg

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10
Accelerating Convergence of Fluid Dynamics Simulations with Convolutional Neural Networks
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Accelerating Convergence of Fluid Dynamics Simulations with Convolutional Neural Networks

Hajgató, Gergely ; Gyires-Tóth, Bálint ; Paál, György

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2019-01, Vol.63 (3), p.230-239 [Periódico revisado por pares]

Budapest: Periodica Polytechnica, Budapest University of Technology and Economics

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