Samuel Weisenthal

According to our database, Samuel Weisenthal authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ChatGPT and post-test probability.

Samuel J. Weisenthal

CoRR, 2023

Inference for relative sparsity.

Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie

CoRR, 2023

2022

Relative Sparsity for Medical Decision Problems.

Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie

CoRR, 2022

2018

Visualizing nationwide variation in medicare Part D prescribing patterns.

Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir A. Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush, Martin S. Zand

BMC Medical Informatics Decis. Mak., 2018

Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization.

Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand

F1000Research, 2018

Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data.

Samuel J. Weisenthal, Caroline M. Quill, Samir A. Farooq, Henry A. Kautz, Martin S. Zand

CoRR, 2018

Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method.

Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand

CoRR, 2018

2017

Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients.

Samuel J. Weisenthal, Haofu Liao, Philip Ng, Martin S. Zand

CoRR, 2017

2016

Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.

Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao

J. Digit. Imaging, 2016

Retrieval, visualization, and mining of large radiation dosage data.

William Kovacs, Samuel Weisenthal, Les R. Folio, Qiaoyi Li, Ronald M. Summers, Jianhua Yao

Inf. Retr. J., 2016

2015

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer.

Kevin Michael Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015