Russo C - Search Results

1

Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.

Russo C, Liu S, Di Ieva A. Russo C, et al. Med Biol Eng Comput. 2022 Jan;60(1):121-134. doi: 10.1007/s11517-021-02464-1. Epub 2021 Nov 2. Med Biol Eng Comput. 2022. PMID: 34729681

2

Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.

Jang K, Russo C, Di Ieva A. Jang K, et al. Among authors: russo c. Neuroradiology. 2020 Jul;62(7):771-790. doi: 10.1007/s00234-020-02403-1. Epub 2020 Apr 6. Neuroradiology. 2020. PMID: 32249351 Review.

3

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning.

Liu S, Shah Z, Sav A, Russo C, Berkovsky S, Qian Y, Coiera E, Di Ieva A. Liu S, et al. Among authors: russo c. Sci Rep. 2020 May 7;10(1):7733. doi: 10.1038/s41598-020-64588-y. Sci Rep. 2020. PMID: 32382048 Free PMC article.

4

Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.

Di Ieva A, Russo C, Liu S, Jian A, Bai MY, Qian Y, Magnussen JS. Di Ieva A, et al. Among authors: russo c. Neuroradiology. 2021 Aug;63(8):1253-1262. doi: 10.1007/s00234-021-02649-3. Epub 2021 Jan 26. Neuroradiology. 2021. PMID: 33501512

5

Use of deep learning in the MRI diagnosis of Chiari malformation type I.

Tanaka KW, Russo C, Liu S, Stoodley MA, Di Ieva A. Tanaka KW, et al. Among authors: russo c. Neuroradiology. 2022 Aug;64(8):1585-1592. doi: 10.1007/s00234-022-02921-0. Epub 2022 Feb 24. Neuroradiology. 2022. PMID: 35199210 Free PMC article.

6

Brain volumetric and fractal analysis of synthetic MRI: A comparative study with conventional 3D T1-weighted images.

Liu S, Meng T, Russo C, Di Ieva A, Berkovsky S, Peng L, Dou W, Qian L. Liu S, et al. Among authors: russo c. Eur J Radiol. 2021 Aug;141:109782. doi: 10.1016/j.ejrad.2021.109782. Epub 2021 May 21. Eur J Radiol. 2021. PMID: 34049059

7

Spatial and time domain analysis of eye-tracking data during screening of brain magnetic resonance images.

Suman AA, Russo C, Carrigan A, Nalepka P, Liquet-Weiland B, Newport RA, Kumari P, Di Ieva A. Suman AA, et al. Among authors: russo c. PLoS One. 2021 Dec 2;16(12):e0260717. doi: 10.1371/journal.pone.0260717. eCollection 2021. PLoS One. 2021. PMID: 34855867 Free PMC article.

8

Foundations of Multiparametric Brain Tumour Imaging Characterisation Using Machine Learning.

Jian A, Jang K, Russo C, Liu S, Di Ieva A. Jian A, et al. Among authors: russo c. Acta Neurochir Suppl. 2022;134:183-193. doi: 10.1007/978-3-030-85292-4_22. Acta Neurochir Suppl. 2022. PMID: 34862542

9

Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review.

Jose L, Liu S, Russo C, Nadort A, Di Ieva A. Jose L, et al. Among authors: russo c. J Pathol Inform. 2021 Nov 3;12:43. doi: 10.4103/jpi.jpi_103_20. eCollection 2021. J Pathol Inform. 2021. PMID: 34881098 Free PMC article. Review.

10

Assessment of eye-tracking scanpath outliers using fractal geometry.

Newport RA, Russo C, Al Suman A, Di Ieva A. Newport RA, et al. Among authors: russo c. Heliyon. 2021 Jul 20;7(7):e07616. doi: 10.1016/j.heliyon.2021.e07616. eCollection 2021 Jul. Heliyon. 2021. PMID: 34368482 Free PMC article.

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