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Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.
Le Berre A, Kamagata K, Otsuka Y, Andica C, Hatano T, Saccenti L, Ogawa T, Takeshige-Amano H, Wada A, Suzuki M, Hagiwara A, Irie R, Hori M, Oyama G, Shimo Y, Umemura A, Hattori N, Aoki S. Le Berre A, et al. Among authors: saccenti l. Neuroradiology. 2019 Dec;61(12):1387-1395. doi: 10.1007/s00234-019-02279-w. Epub 2019 Aug 10. Neuroradiology. 2019. PMID: 31401723 Free PMC article.
Bringing Interventional Radiology to Mars!
Vidal V, Boyer L, Luciani A; SFR-CNES collaborative group. Vidal V, et al. Cardiovasc Intervent Radiol. 2023 Apr;46(4):425-427. doi: 10.1007/s00270-023-03392-3. Epub 2023 Mar 14. Cardiovasc Intervent Radiol. 2023. PMID: 36918421
Accuracy and reproducibility of a cone beam CT-based virtual parenchymal perfusion algorithm in the prediction of SPECT/CT anatomical and volumetric results during the planification of radioembolization for HCC.
Derbel H, Krichen M, Chalaye J, Saccenti L, Van der Sterren W, Muris AH, Lerman L, Galletto A, Zaarour Y, Luciani A, Kobeiter H, Tacher V. Derbel H, et al. Among authors: saccenti l. Eur Radiol. 2023 May;33(5):3510-3520. doi: 10.1007/s00330-023-09390-w. Epub 2023 Jan 18. Eur Radiol. 2023. PMID: 36651956
11 results