Dr. Jeffrey A. Drebin Profile

Dr. Jeffrey A. Drebin

at Memorial Sloan Kettering Cancer Ctr

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 4 April 2022 Presentation + Paper

CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma

Jayasree Chakraborty, Joshua Jolissaint, Tiegong Wang, Kevin Soares, Mithat Gonen, Linda Pak, Thomas Boerner, Richard K. Do, Vinod Balachandran, Michael D'Angelica, Jeffrey Drebin, T. Peter Kingham, Alice Wei, William Jarnagin

Proceedings Volume 12033, 120333C (2022) https://doi.org/10.1117/12.2612889

KEYWORDS: Tumors, Surgery, Liver, Computed tomography, Liver cancer, Feature extraction, Cancer, Oncology

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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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