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 (AIME, 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 (DSAA, 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 (EMBC, 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 (ICHI, 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 (ICHI, 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 (MedInfo, 2015)

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 (AMIA, 2016)

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 (AMIA, 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 (ICHI, 2017)

Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge. - Dennis H. Murphree; Che Ngufor (CoRR, 2017)

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 (EMBC, 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)

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores. - Michael Z. Wang; Nneka I. Comfere; Dennis H. Murphree (EMBC, 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 (MedInfo, 2019)

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 (AIME, 2020)

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; et al. (J. Am. Medical Informatics Assoc., 2021)

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; et al. (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; et al. (CoRR, 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)

Consensus modeling: Safer transfer learning for small health systems. - Roshan Tourani; Dennis H. Murphree; Adam Sheka; Genevieve B. Melton; Daryl J. Kor; György J. Simon (Artif. Intell. Medicine, 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; et al. (CoRR, 2024)