Tavolara TE - Search Results

1

Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases.

Moaven O, Tavolara TE, Valenzuela CD, Cheung TT, Corvera CU, Cha CH, Stauffer JA, Niazi MKK, Gurcan MN, Shen P. Moaven O, et al. Among authors: tavolara te. J Am Coll Surg. 2023 Apr 1;236(4):884-893. doi: 10.1097/XCS.0000000000000573. Epub 2023 Jan 19. J Am Coll Surg. 2023. PMID: 36727981

2

Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification.

Ding Y, Tavolara T, Cheng K. Ding Y, et al. Proc SPIE Int Soc Opt Eng. 2016 Feb-Mar;9791:97911A. doi: 10.1117/12.2216940. Epub 2016 Mar 23. Proc SPIE Int Soc Opt Eng. 2016. PMID: 34548737 Free PMC article.

3

Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

Niazi MKK, Tavolara TE, Arole V, Hartman DJ, Pantanowitz L, Gurcan MN. Niazi MKK, et al. Among authors: tavolara te. PLoS One. 2018 Apr 12;13(4):e0195621. doi: 10.1371/journal.pone.0195621. eCollection 2018. PLoS One. 2018. PMID: 29649302 Free PMC article.

4

A modular cGAN classification framework: Application to colorectal tumor detection.

Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. Tavolara TE, et al. Sci Rep. 2019 Dec 12;9(1):18969. doi: 10.1038/s41598-019-55257-w. Sci Rep. 2019. PMID: 31831792 Free PMC article.

5

Author Correction: A modular cGAN classification framework: Application to colorectal tumor detection.

Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. Tavolara TE, et al. Sci Rep. 2020 Feb 6;10(1):2398. doi: 10.1038/s41598-020-59307-6. Sci Rep. 2020. PMID: 32024961 Free PMC article.

6

Semantic segmentation to identify bladder layers from H&E Images.

Niazi MKK, Yazgan E, Tavolara TE, Li W, Lee CT, Parwani A, Gurcan MN. Niazi MKK, et al. Among authors: tavolara te. Diagn Pathol. 2020 Jul 16;15(1):87. doi: 10.1186/s13000-020-01002-1. Diagn Pathol. 2020. PMID: 32677978 Free PMC article.

7

Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning.

Tavolara TE, Niazi MKK, Ginese M, Piedra-Mora C, Gatti DM, Beamer G, Gurcan MN. Tavolara TE, et al. EBioMedicine. 2020 Dec;62:103094. doi: 10.1016/j.ebiom.2020.103094. Epub 2020 Nov 7. EBioMedicine. 2020. PMID: 33166789 Free PMC article.

8

Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice.

Tavolara TE, Niazi MKK, Gower AC, Ginese M, Beamer G, Gurcan MN. Tavolara TE, et al. EBioMedicine. 2021 May;67:103388. doi: 10.1016/j.ebiom.2021.103388. Epub 2021 May 14. EBioMedicine. 2021. PMID: 34000621 Free PMC article.

9

Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models.

Tavolara TE, Gurcan MN, Segal S, Niazi MKK. Tavolara TE, et al. Comput Biol Med. 2021 Sep;136:104737. doi: 10.1016/j.compbiomed.2021.104737. Epub 2021 Aug 4. Comput Biol Med. 2021. PMID: 34391000 Free PMC article.

10

CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

Koyuncu D, Niazi MKK, Tavolara T, Abeijon C, Ginese ML, Liao Y, Mark C, Specht A, Gower AC, Restrepo BI, Gatti DM, Kramnik I, Gurcan M, Yener B, Beamer G. Koyuncu D, et al. PLoS Pathog. 2021 Aug 17;17(8):e1009773. doi: 10.1371/journal.ppat.1009773. eCollection 2021 Aug. PLoS Pathog. 2021. PMID: 34403447 Free PMC article.

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