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Dennis Murphree
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Journal Articles
- 2024
- [j3]Roshan Tourani, Dennis H. Murphree, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon:
Consensus modeling: Safer transfer learning for small health systems. Artif. Intell. Medicine 154: 102899 (2024) - 2021
- [j2]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:
Improving the delivery of palliative care through predictive modeling and healthcare informatics. J. Am. Medical Informatics Assoc. 28(6): 1065-1073 (2021) - 2018
- [j1]Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy:
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. Comput. Biol. Medicine 103: 109-115 (2018)
Conference and Workshop Papers
- 2020
- [c13]Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon:
Consensus Modeling: A Transfer Learning Approach for Small Health Systems. AIME 2020: 181-191 - 2019
- [c12]Michael Z. Wang, Nneka I. Comfere, Dennis H. Murphree:
Deep Learning for Automating the Organization of Institutional Dermatology Image Stores. EMBC 2019: 4479-4482 - [c11]Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon:
The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites. MedInfo 2019: 398-402 - 2018
- [c10]Dennis H. Murphree, Daniel J. Quest, Ryan M. Allen, Che Ngufor, Curtis B. Storlie:
Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. EMBC 2018: 6112-6116 - 2017
- [c9]Che Ngufor, Matthew A. Warner, Dennis Murphree, Hongfang Liu, Rickey E. Carter, Curtis B. Storlie, Daryl J. Kor:
Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. AMIA 2017 - [c8]Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding. ICHI 2017: 56-65 - 2016
- [c7]Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor:
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. AMIA 2016 - 2015
- [c6]Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak:
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. AIME 2015: 287-297 - [c5]Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak:
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. DSAA 2015: 1-8 - [c4]Dennis Murphree, Che Ngufor, Sudhindra Upadhyaya, Nageswar Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak:
Ensemble learning approaches to predicting complications of blood transfusion. EMBC 2015: 7222-7225 - [c3]Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
Predicting Adverse Reactions to Blood Transfusion. ICHI 2015: 82-89 - [c2]Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion. ICHI 2015: 100-104 - [c1]Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak:
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. MedInfo 2015: 721-725
Informal and Other Publications
- 2024
- [i5]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:
Analysis and Validation of Image Search Engines in Histopathology. CoRR abs/2401.03271 (2024) - 2023
- [i4]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:
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. CoRR abs/2308.15618 (2023) - [i3]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:
When is a Foundation Model a Foundation Model. CoRR abs/2309.11510 (2023) - [i2]Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, Hamid R. Tizhoosh:
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection. CoRR abs/2310.03106 (2023) - 2017
- [i1]Dennis H. Murphree, Che Ngufor:
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge. CoRR abs/1703.05235 (2017)
Coauthor Index
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