Santinha J - Search Results

1

Susceptibility Perturbation MRI Maps Tumor Infiltration into Mesorectal Lymph Nodes.

Santiago I, Santinha J, Ianus A, Galzerano A, Theias R, Maia J, Barata MJ, Loução N, Costa-Silva B, Beltran A, Matos C, Shemesh N. Santiago I, et al. Among authors: santinha j. Cancer Res. 2019 May 1;79(9):2435-2444. doi: 10.1158/0008-5472.CAN-18-3682. Epub 2019 Mar 20. Cancer Res. 2019. PMID: 30894376

2

Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI.

Almeida SD, Santinha J, Oliveira FPM, Ip J, Lisitskaya M, Lourenço J, Uysal A, Matos C, João C, Papanikolaou N. Almeida SD, et al. Among authors: santinha j. Cancer Imaging. 2020 Jan 13;20(1):6. doi: 10.1186/s40644-020-0286-5. Cancer Imaging. 2020. PMID: 31931880 Free PMC article.

3

A multicenter study on radiomic features from T₂ -weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics.

Bianchini L, Santinha J, Loução N, Figueiredo M, Botta F, Origgi D, Cremonesi M, Cassano E, Papanikolaou N, Lascialfari A. Bianchini L, et al. Among authors: santinha j. Magn Reson Med. 2021 Mar;85(3):1713-1726. doi: 10.1002/mrm.28521. Epub 2020 Sep 24. Magn Reson Med. 2021. PMID: 32970859

4

Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease.

Gourtsoyianni S, Santinha J, Matos C, Papanikolaou N. Gourtsoyianni S, et al. Among authors: santinha j. Abdom Radiol (NY). 2020 Nov;45(11):3523-3531. doi: 10.1007/s00261-020-02772-4. Epub 2020 Oct 16. Abdom Radiol (NY). 2020. PMID: 33064169 Review.

5

CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas.

Tobaly D, Santinha J, Sartoris R, Dioguardi Burgio M, Matos C, Cros J, Couvelard A, Rebours V, Sauvanet A, Ronot M, Papanikolaou N, Vilgrain V. Tobaly D, et al. Among authors: santinha j. Cancers (Basel). 2020 Oct 23;12(11):3089. doi: 10.3390/cancers12113089. Cancers (Basel). 2020. PMID: 33114028 Free PMC article.

6

Diffusion tensor-based fiber tracking of the male urethral sphincter complex in patients undergoing radical prostatectomy: a feasibility study.

Verde ASC, Santinha J, Carrasquinha E, Loucao N, Gaivao A, Fonseca J, Matos C, Papanikolaou N. Verde ASC, et al. Among authors: santinha j. Insights Imaging. 2020 Nov 27;11(1):126. doi: 10.1186/s13244-020-00927-x. Insights Imaging. 2020. PMID: 33245443 Free PMC article.

7

Improving performance and generalizability in radiogenomics: a pilot study for prediction of IDH1/2 mutation status in gliomas with multicentric data.

Santinha J, Matos C, Figueiredo M, Papanikolaou N. Santinha J, et al. J Med Imaging (Bellingham). 2021 May;8(3):031905. doi: 10.1117/1.JMI.8.3.031905. Epub 2021 Apr 29. J Med Imaging (Bellingham). 2021. PMID: 33937440 Free PMC article.

8

Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics.

Rodrigues A, Santinha J, Galvão B, Matos C, Couto FM, Papanikolaou N. Rodrigues A, et al. Among authors: santinha j. Cancers (Basel). 2021 Dec 1;13(23):6065. doi: 10.3390/cancers13236065. Cancers (Basel). 2021. PMID: 34885175 Free PMC article.

9

Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness.

Rodrigues A, Rodrigues N, Santinha J, Lisitskaya MV, Uysal A, Matos C, Domingues I, Papanikolaou N. Rodrigues A, et al. Among authors: santinha j. Sci Rep. 2023 Apr 17;13(1):6206. doi: 10.1038/s41598-023-33339-0. Sci Rep. 2023. PMID: 37069257 Free PMC article.

10

Performances and variability of CT radiomics for the prediction of microvascular invasion and survival in patients with HCC: a matter of chance or standardisation?

Cannella R, Santinha J, Bèaufrere A, Ronot M, Sartoris R, Cauchy F, Bouattour M, Matos C, Papanikolaou N, Vilgrain V, Dioguardi Burgio M. Cannella R, et al. Among authors: santinha j. Eur Radiol. 2023 Nov;33(11):7618-7628. doi: 10.1007/s00330-023-09852-1. Epub 2023 Jun 20. Eur Radiol. 2023. PMID: 37338558

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