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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2023 | 2022 | 2021 | 2019
Anzahl der Publikationen: 4

2023

Aversa, Marco; Nobis, Gabriel; Hägele, Miriam; Standvoss, Kai; Chirica, Mihaela ORCID logoORCID: https://orcid.org/0009-0007-3836-4298; Murray-Smith, Roderick; Alaa, Ahme; Ruff, Lukas; Ivanova, Daniel; Samek, Wojciech; Klauschen, Frederick ORCID logoORCID: https://orcid.org/0000-0002-9131-2389; Sanguinetti, Bruno und Oala, Luis (2023): DiffInfinite: large mask-image synthesis via parallel random patch diffusion in histopathology. 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 10. - 16. Dezember 2023. Oh, Alice (Hrsg.): In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Advances in Neural Information Processing Systems; 36 3413 New York: Curran Associates. S. 78126-78141

2022

Wagner, Patrick; Strodthoff, Nils; Wurzel, Patrick; Marban, Arturo; Scharf, Sonja; Schaefer, Hendrik; Seegerer, Philipp; Loth, Andreas; Hartmann, Sylvia; Klauschen, Frederick; Mueller, Klaus-Robert; Samek, Wojciech und Hansmann, Martin-Leo (2022): New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning. In: Scientific Reports, Bd. 12, Nr. 1, 18991

2021

Oala, Luis; Heiß, Cosmas; Macdonald, Jan; Marz, Maximilian; Kutyniok, Gitta ORCID logoORCID: https://orcid.org/0000-0001-9738-2487 und Samek, Wojciech (2021): Detecting failure modes in image reconstructions with interval neural network uncertainty. In: International Journal of Computer Assisted Radiology and Surgery, Bd. 16, Nr. 12: S. 2089-2097

2019

Bubba, Tatiana A ORCID logoORCID: https://orcid.org/0000-0003-0020-9210; Kutyniok, Gitta ORCID logoORCID: https://orcid.org/0000-0001-9738-2487; Lassas, Matti ORCID logoORCID: https://orcid.org/0000-0003-2043-3156; März, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6623-2467; Samek, Wojciech ORCID logoORCID: https://orcid.org/0000-0002-6283-3265; Siltanen, Samuli ORCID logoORCID: https://orcid.org/0000-0002-5988-5232 und Srinivasan, Vignesh (2019): Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography. In: Inverse Problems, Bd. 35, Nr. 6, 064002

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