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Jean Le'Clerc Arrastia
Jean Le'Clerc Arrastia
Verified email at uni-bremen.de
Title
Cited by
Cited by
Year
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of basal cell carcinoma
J Le’Clerc Arrastia, N Heilenkötter, D Otero Baguer, L Hauberg-Lotte, ...
Journal of imaging 7 (4), 71, 2021
422021
Evaluation of a deep learning approach to differentiate Bowen’s disease and seborrheic keratosis
P Jansen, DO Baguer, N Duschner, J Le’Clerc Arrastia, M Schmidt, ...
Cancers 14 (14), 3518, 2022
132022
Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma
N Duschner, DO Baguer, M Schmidt, KG Griewank, E Hadaschik, ...
JDDG: Journal der Deutschen Dermatologischen Gesellschaft 21 (11), 1329-1337, 2023
32023
Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI
C Janßen, T Boskamp, J Le’Clerc Arrastia, D Otero Baguer, ...
Cancers 14 (24), 6181, 2022
32022
Einsatz künstlicher Intelligenz mittels Deep Learning in der dermatopathologischen Routinediagnostik des Basalzellkarzinoms: Applying an artificial intelligence …
N Duschner, DO Baguer, M Schmidt, KG Griewank, E Hadaschik, ...
JDDG: Journal der Deutschen Dermatologischen Gesellschaft 21 (11), 1329-1338, 2023
2023
The use of a deep learning model in the histopathological diagnosis of actinic keratosis: A case control accuracy study
J Balkenhol, M Schmidt, T Schnauder, J Langenhorst, J Le Clerc Arrastia, ...
medRxiv, 2023.11. 20.23298649, 2023
2023
A-PIT: Estructura de Subdivisión Espacial Aceleración de Raytracing en GPU
J Le’Clerc Arrastia, A Piad Morffis, L Leonard Méndez
Revista Cubana de Ciencias Informáticas 10 (3), 71-87, 2016
2016
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Articles 1–7