Mithat Gönen

According to our database, Mithat Gönen authored at least 10 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.

Mohammad Hamghalam, Jacob J. Peoples, Kaitlyn S. M. Kobayashi, Grace Park, Erin Kwak, E. Claire Bunker, Natalie Gangai, Mithat Gonen, Yun Shin Chun, HyunSeon Christine Kang, Richard K. G. Do, Amber L. Simpson

Comput. Methods Programs Biomed., 2026

2025

Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design.

Ayyüce Begüm Bektas, Mithat Gönen

CoRR, August, 2025

2023

Subsampling based variable selection for generalized linear models.

Marinela Capanu, Mihai C. Giurcanu, Colin B. Begg, Mithat Gönen

Comput. Stat. Data Anal., August, 2023

Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach.

Abhishek Midya, Jayasree Chakraborty, Rami Srouji, Raja R. Narayan, Thomas Börner, Jian Zheng, Linda M. Pak, John M. Creasy, Luz A. Escobar, Kate A. Harrington, Mithat Gönen, Michael I. D'Angelica, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson

IEEE J. Biomed. Health Informatics, May, 2023

2022

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

Jayasree Chakraborty, Joshua S. Jolissaint, Tiegong Wang, Kevin C. Soares, Mithat Gonen, Linda M. Pak, Thomas Börner, Richard K. G. Do, Vinod P. Balachandran, Michael I. D'Angelica, Jeffrey A. Drebin, T. Peter Kingham, Alice C. Wei, William R. Jarnagin

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2020

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

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

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2018

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 S. Klimstra, Diane L. Reidy, Peter J. Allen, Richard K. G. Do, Amber L. Simpson

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Preoperative assessment of microvascular invasion in hepatocellular carcinoma.

Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2014

Histone Modifications Are Associated with Transcript Isoform Diversity in Normal and Cancer Cells.

Ondrej Podlaha, Subhajyoti De, Mithat Gonen, Franziska Michor

PLoS Comput. Biol., 2014

2008

Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers.

Andrew J. Vickers, Angel M. Cronin, Elena B. Elkin, Mithat Gonen

BMC Medical Informatics Decis. Mak., 2008