Dennis Murphree

According to our database, Dennis Murphree authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

Analysis and Validation of Image Search Engines in Histopathology.

Isaiah Lahr, Saghir Alfasly, Peyman Nejat, Jibran A. Khan, Luke Kottom, Vaishnavi Kumbhar, Areej Alsaafin, Abubakr Shafique, Sobhan Hemati, Ghazal Alabtah, Nneka I. Comfere, Dennis Murphree, Aaron Mangold, Saba Yasir, Chady Meroueh, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh

CoRR, 2024

2023

Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection.

Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, Hamid R. Tizhoosh

CoRR, 2023

When is a Foundation Model a Foundation Model.

Saghir Alfasly, Peyman Nejat, Sobhan Hemati, Jibran A. Khan, Isaiah Lahr, Areej Alsaafin, Abubakr Shafique, Nneka I. Comfere, Dennis Murphree, Chady Meroueh, Saba Yasir, Aaron Mangold, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh

CoRR, 2023

RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images.

Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant V. Saboo, Blake Bordeaux, Puneet Bhullar, Nneka I. Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer

CoRR, 2023

2021

Improving the delivery of palliative care through predictive modeling and healthcare informatics.

Dennis H. Murphree, Patrick M. Wilson, Shusaku W. Asai, Daniel J. Quest, Yaxiong Lin, Piyush Mukherjee, Nirmal Chhugani, Jacob J. Strand, Gabriel Demuth, David Mead, Brian Wright, Andrew M. Harrison, Jalal Soleimani, Vitaly Herasevich, Brian W. Pickering, Curtis B. Storlie

J. Am. Medical Informatics Assoc., 2021

2020

Consensus Modeling: A Transfer Learning Approach for Small Health Systems.

Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites.

Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores.

Michael Z. Wang, Nneka I. Comfere, Dennis H. Murphree

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy

Comput. Biol. Medicine, 2018

Deploying Predictive Models In A Healthcare Environment - An Open Source Approach.

Dennis H. Murphree, Daniel J. Quest, Ryan M. Allen, Che Ngufor, Curtis B. Storlie

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge.

Dennis H. Murphree, Che Ngufor

CoRR, 2017

Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding.

Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

Che Ngufor, Matthew A. Warner, Dennis Murphree, Hongfang Liu, Rickey E. Carter, Curtis B. Storlie, Daryl J. Kor

Proceedings of the AMIA 2017, 2017

2016

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor

Proceedings of the AMIA 2016, 2016

2015

Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach.

Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion.

Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Predicting Adverse Reactions to Blood Transfusion.

Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Ensemble learning approaches to predicting complications of blood transfusion.

Dennis Murphree, Che Ngufor, Sudhindra Upadhyaya, Nageswar Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes.

Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes.

Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak

Proceedings of the Artificial Intelligence in Medicine, 2015