( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.

, , , , , , , , , и . Comput. Biol. Medicine, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Michael Armann

Beate Arman

Alexandre Armand

Rüdiger Armann

Arman Barimani

 

Другие публикации лиц с тем же именем

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features., , , , , , , , , и 3 other автор(ы). CoRR, (2022)Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks., , , , , , и . CoRR, (2022)Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images., , , , , , , , , и 2 other автор(ы). Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate., , , , , , , , , и . MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 577-584. (2016)Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks., , , , , , и . HECKTOR@MICCAI, том 13209 из Lecture Notes in Computer Science, стр. 236-247. Springer, (2021)An Analysis Scheme for Investigation of Effects of Various Parameters on Signals in Acoustic-Resolution Photoacoustic Microscopy of Mice Brain: a Simulation Study., , и . CoRR, (2018)Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma., , , , , , , и . ISBI, стр. 835-838. IEEE, (2018)Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer., , , и . Comput. Methods Programs Biomed., (октября 2023)Observer study-based evaluation of TGAN architecture used to generate oncological PET images., , , , , , , , , и 2 other автор(ы). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12467 из SPIE Proceedings, SPIE, (2023)MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline., , , и . CoRR, (2024)