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ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis.

, , , и . BHI, стр. 1-4. IEEE, (2023)

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Emmanuel Rehfeld

Emmanuel Biris

Emmanuel Stamou

Emmanuel Angelidis

Emmanuel Fiolitakis

 

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ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis., , , и . BHI, стр. 1-4. IEEE, (2023)A Diffeomorphic Matching Based Characterization of the Pelvic Organ Dynamics., , , и . CAIP (1), том 6854 из Lecture Notes in Computer Science, стр. 469-476. Springer, (2011)A Diffeomorphic Mapping Based Characterization of Temporal Sequences: Application to the Pelvic Organ Dynamics Assessment., , , и . J. Math. Imaging Vis., 47 (1-2): 151-164 (2013)Context-Gan: Controllable Context Image Generation Using Gans., , , , и . ISBI, стр. 1-5. IEEE, (2023)Toward an active three dimensional navigation system in medical imaging., , и . CVRMed, том 1205 из Lecture Notes in Computer Science, стр. 337-346. Springer, (1997)A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations., , , и . ICPR, стр. 3822-3828. IEEE, (2020)3D Dynamic MRI for Pelvis Observation - a First Step., , , и . ISBI, стр. 1801-1804. IEEE, (2019)Combining loss functions for deep learning bladder segmentation on dynamic MRI., , , и . BHI, стр. 1-4. IEEE, (2021)Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination., , , и . ICPR, стр. 2496-2499. IEEE Computer Society, (2010)Automatic estimation of pelvic organ anatomical references., , , и . EMBC, стр. 5124-5127. IEEE, (2011)