Pearson AT - Search Results

1

Applications of Deep Learning in Endocrine Neoplasms.

Ramesh S, Dolezal JM, Pearson AT. Ramesh S, et al. Among authors: pearson at. Surg Pathol Clin. 2023 Mar;16(1):167-176. doi: 10.1016/j.path.2022.09.014. Epub 2022 Dec 12. Surg Pathol Clin. 2023. PMID: 36739164 Review.

2

Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning.

Howard FM, Pearson AT. Howard FM, et al. Among authors: pearson at. JAMA Netw Open. 2020 Jun 1;3(6):e206368. doi: 10.1001/jamanetworkopen.2020.6368. JAMA Netw Open. 2020. PMID: 32492160 Free article. No abstract available.

3

Deep learning in cancer pathology: a new generation of clinical biomarkers.

Echle A, Rindtorff NT, Brinker TJ, Luedde T, Pearson AT, Kather JN. Echle A, et al. Among authors: pearson at. Br J Cancer. 2021 Feb;124(4):686-696. doi: 10.1038/s41416-020-01122-x. Epub 2020 Nov 18. Br J Cancer. 2021. PMID: 33204028 Free PMC article. Review.

4

Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features.

Dolezal JM, Trzcinska A, Liao CY, Kochanny S, Blair E, Agrawal N, Keutgen XM, Angelos P, Cipriani NA, Pearson AT. Dolezal JM, et al. Among authors: pearson at. Mod Pathol. 2021 May;34(5):862-874. doi: 10.1038/s41379-020-00724-3. Epub 2020 Dec 10. Mod Pathol. 2021. PMID: 33299111 Free PMC article.

5

Deep learning detects genetic alterations in cancer histology generated by adversarial networks.

Krause J, Grabsch HI, Kloor M, Jendrusch M, Echle A, Buelow RD, Boor P, Luedde T, Brinker TJ, Trautwein C, Pearson AT, Quirke P, Jenniskens J, Offermans K, van den Brandt PA, Kather JN. Krause J, et al. Among authors: pearson at. J Pathol. 2021 May;254(1):70-79. doi: 10.1002/path.5638. Epub 2021 Mar 16. J Pathol. 2021. PMID: 33565124 Free article.

6

The impact of site-specific digital histology signatures on deep learning model accuracy and bias.

Howard FM, Dolezal J, Kochanny S, Schulte J, Chen H, Heij L, Huo D, Nanda R, Olopade OI, Kather JN, Cipriani N, Grossman RL, Pearson AT. Howard FM, et al. Among authors: pearson at. Nat Commun. 2021 Jul 20;12(1):4423. doi: 10.1038/s41467-021-24698-1. Nat Commun. 2021. PMID: 34285218 Free PMC article.

7

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.

Dolezal JM, Srisuwananukorn A, Karpeyev D, Ramesh S, Kochanny S, Cody B, Mansfield AS, Rakshit S, Bansal R, Bois MC, Bungum AO, Schulte JJ, Vokes EE, Garassino MC, Husain AN, Pearson AT. Dolezal JM, et al. Among authors: pearson at. Nat Commun. 2022 Nov 2;13(1):6572. doi: 10.1038/s41467-022-34025-x. Nat Commun. 2022. PMID: 36323656 Free PMC article.

8

Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review.

de Souza LL, Fonseca FP, Araújo ALD, Lopes MA, Vargas PA, Khurram SA, Kowalski LP, Dos Santos HT, Warnakulasuriya S, Dolezal J, Pearson AT, Santos-Silva AR. de Souza LL, et al. Among authors: pearson at. J Oral Pathol Med. 2023 Mar;52(3):197-205. doi: 10.1111/jop.13414. Epub 2023 Mar 8. J Oral Pathol Med. 2023. PMID: 36792771 Review.

9

Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.

Saldanha OL, Loeffler CML, Niehues JM, van Treeck M, Seraphin TP, Hewitt KJ, Cifci D, Veldhuizen GP, Ramesh S, Pearson AT, Kather JN. Saldanha OL, et al. Among authors: pearson at. NPJ Precis Oncol. 2023 Mar 28;7(1):35. doi: 10.1038/s41698-023-00365-0. NPJ Precis Oncol. 2023. PMID: 36977919 Free PMC article.

10

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence.

Howard FM, Dolezal J, Kochanny S, Khramtsova G, Vickery J, Srisuwananukorn A, Woodard A, Chen N, Nanda R, Perou CM, Olopade OI, Huo D, Pearson AT. Howard FM, et al. Among authors: pearson at. NPJ Breast Cancer. 2023 Apr 14;9(1):25. doi: 10.1038/s41523-023-00530-5. NPJ Breast Cancer. 2023. PMID: 37059742 Free PMC article.

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