Dr. Alessandra Pulvirenti Profile

Dr. Alessandra Pulvirenti

at Memorial Sloan Kettering Cancer Ctr

SPIE Involvement:

Author

Publications (3)

SPIE Journal Paper | 25 June 2020

Multimodal radiomics and cyst fluid inflammatory markers model to predict preoperative risk in intraductal papillary mucinous neoplasms

Kate Harrington, Travis Williams, Sharon Lawrence, Jayasree Chakraborty, Mohammad A. Al Efishat, Marc Attiyeh, Gokce Askan, Yuting Chou, Alessandra Pulvirenti, Caitlin McIntyre, Mithat Gönen, Olca Basturk, Vinod Balachandran, T. Peter Kingham, Michael D'Angelica, William Jarnagin, Jeffrey Drebin, Richard K. Do, Peter Allen, Amber Simpson

JMI, Vol. 7, Issue 03, 031507, (June 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.3.031507

KEYWORDS: Computed tomography, Data modeling, Pancreatic cancer, Tumors, Surgery, Proteins, Performance modeling, Tumor growth modeling, Cancer, Feature extraction

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Proceedings Article | 16 March 2020 Presentation + Paper

A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions

Travis Williams, Kate Harrington, Sharon Lawrence, Jayasree Chakraborty, Mohammad Al Efishat, Marc Attiyeh, Gokce Askan, Yuting Chou, Alessandra Pulvirenti, Caitlin McIntyre, Mithat Gonen, Olca Basturk, Vinod Balachandran, T. Peter Kingham, Michael D'Angelica, Williarm Jarnagin, Jeffrey Drebin, Richard K. Do, Peter Allen, Amber Simpson

Proceedings Volume 11315, 113151Q (2020) https://doi.org/10.1117/12.2566425

KEYWORDS: Pancreatic cancer, Computed tomography, Tumor growth modeling, Cancer, Feature extraction, Proteins, Tumors, Data modeling, Performance modeling, Pancreas

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Proceedings Article | 27 February 2018 Presentation + Paper

Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors

Jayasree Chakraborty, Alessandra Pulvirenti, Rikiya Yamashita, Abhishek Midya, Mithat Gönen, David Klimstra, Diane Reidy, Peter Allen, Richard K. Do, Amber Simpson

Proceedings Volume 10575, 105751N (2018) https://doi.org/10.1117/12.2293577

KEYWORDS: Tumors, Feature extraction, Computed tomography, Shape analysis, Pancreatic cancer, Image analysis, Cancer

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