Lagree A - Search Results

1

Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy.

Pinard CJ; International Immuno-Oncology Biomarker Working Group; Lagree A, Lu FI, Klein J, Oblak ML, Salgado R, Cardenas JCP, Brunetti B, Muscatello LV, Sarli G, Foschini MP, Hardas A, Castillo SP, AbdulJabbar K, Yuan Y, Moore DA, Tran WT. Pinard CJ, et al. Among authors: lagree a. Cancers (Basel). 2022 Oct 13;14(20):5008. doi: 10.3390/cancers14205008. Cancers (Basel). 2022. PMID: 36291791 Free PMC article. Review.

2

Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Tran WT, Jerzak K, Lu FI, Klein J, Tabbarah S, Lagree A, Wu T, Rosado-Mendez I, Law E, Saednia K, Sadeghi-Naini A. Tran WT, et al. Among authors: lagree a. J Med Imaging Radiat Sci. 2019 Dec;50(4 Suppl 2):S32-S41. doi: 10.1016/j.jmir.2019.07.010. Epub 2019 Aug 22. J Med Imaging Radiat Sci. 2019. PMID: 31447230

3

Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer.

Tran WT, Suraweera H, Quaioit K, Cardenas D, Leong KX, Karam I, Poon I, Jang D, Sannachi L, Gangeh M, Tabbarah S, Lagree A, Sadeghi-Naini A, Czarnota GJ. Tran WT, et al. Among authors: lagree a. Future Sci OA. 2019 Nov 26;6(1):FSO433. doi: 10.2144/fsoa-2019-0048. Future Sci OA. 2019. PMID: 31915534 Free PMC article.

4

Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine Learning.

Saednia K, Tabbarah S, Lagree A, Wu T, Klein J, Garcia E, Hall M, Chow E, Rakovitch E, Childs C, Sadeghi-Naini A, Tran WT. Saednia K, et al. Among authors: lagree a. Int J Radiat Oncol Biol Phys. 2020 Apr 1;106(5):1071-1083. doi: 10.1016/j.ijrobp.2019.12.032. Epub 2020 Jan 23. Int J Radiat Oncol Biol Phys. 2020. PMID: 31982495

5

[No title available]

[No authors listed] [No authors listed] PMID: 32919713

6

[No title available]

[No authors listed] [No authors listed] PMID: 32919730

7

Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

Meti N, Saednia K, Lagree A, Tabbarah S, Mohebpour M, Kiss A, Lu FI, Slodkowska E, Gandhi S, Jerzak KJ, Fleshner L, Law E, Sadeghi-Naini A, Tran WT. Meti N, et al. Among authors: lagree a. JCO Clin Cancer Inform. 2021 Jan;5:66-80. doi: 10.1200/CCI.20.00078. JCO Clin Cancer Inform. 2021. PMID: 33439725 Free article.

8

Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients.

Dodington DW, Lagree A, Tabbarah S, Mohebpour M, Sadeghi-Naini A, Tran WT, Lu FI. Dodington DW, et al. Among authors: lagree a. Breast Cancer Res Treat. 2021 Apr;186(2):379-389. doi: 10.1007/s10549-020-06093-4. Epub 2021 Jan 23. Breast Cancer Res Treat. 2021. PMID: 33486639

9

A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks.

Lagree A, Mohebpour M, Meti N, Saednia K, Lu FI, Slodkowska E, Gandhi S, Rakovitch E, Shenfield A, Sadeghi-Naini A, Tran WT. Lagree A, et al. Sci Rep. 2021 Apr 13;11(1):8025. doi: 10.1038/s41598-021-87496-1. Sci Rep. 2021. PMID: 33850222 Free PMC article.

10

Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade.

Lagree A, Shiner A, Alera MA, Fleshner L, Law E, Law B, Lu FI, Dodington D, Gandhi S, Slodkowska EA, Shenfield A, Jerzak KJ, Sadeghi-Naini A, Tran WT. Lagree A, et al. Curr Oncol. 2021 Oct 27;28(6):4298-4316. doi: 10.3390/curroncol28060366. Curr Oncol. 2021. PMID: 34898544 Free PMC article.

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