Telemedicine applications of mobile ultrasound. - Peder C. Pedersen; Brett W. Dickson; Jacob Chakareski (MMSP, 2009)

Generation of 3D Ultrasound Training Volumes from Freehand Acquired Data. - Jason Kutarnia; Peder C. Pedersen (MMVR, 2012)

Personal Low-Cost Ultrasound Training System. - Peder C. Pedersen; Daniel Skehan (MMVR, 2012)

Sugar: A Mobile Phone App for Diabetes and Diabetic Wound Management. - Diane M. Strong; Emmanuel Agu; Peder C. Pedersen; Bengisu Tulu; Steve (Qian) He; Lei Wang; Yejin Li; Sherry Pagoto; Ronald Ignotz; Raymond Dunn; David Harlan (AMIA, 2013)

3D seam selection techniques with application to improved ultrasound mosaicing. - Jason Kutarnia; Peder C. Pedersen (Image Processing, 2013)

Wound image analysis system for diabetics. - Lei Wang; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Emmanuel Agu (Image Processing, 2013)

Personal Training Simulator for Asynchronous Learning of Obstetric Ultrasound. - Li Liu 037; Jason Kutarnia; Peder C. Pedersen; Petra Belady (MMVR, 2014)

A Markov random field approach to group-wise registration/mosaicing with application to ultrasound. - Jason Kutarnia; Peder C. Pedersen (Medical Image Anal., 2015)

Obstetric Ultrasound Simulator With Task-Based Training and Assessment. - Li Liu 037; Jason Kutarnia; Petra Belady; Peder C. Pedersen (IEEE Trans. Biomed. Eng., 2015)

Smartphone-Based Wound Assessment System for Patients With Diabetes. - Lei Wang; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Emmanuel Agu; Ronald Ignotz (IEEE Trans. Biomed. Eng., 2015)

Design Implications of User Experience Studies: The Case of a Diabetes Wellness App. - Bengisu Tulu; Diane M. Strong; Lei Wang; Qian He; Emmanuel Agu; Peder C. Pedersen; Soussan Djamasbi (HICSS, 2016)

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification. - Lei Wang; Peder C. Pedersen; Emmanuel Agu; Diane M. Strong; Bengisu Tulu (IEEE Trans. Biomed. Eng., 2017)

Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations? - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel O. Agu; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (AMCIS, 2020)

Prediction of Chronic Wound Care Decisions Using Machine Learning. - Haadi Mombini; Emmanuel Agu; Diane M. Strong; Holly Nguyen; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn; Bengisu Tulu (AMIA, 2020)

Design of a Machine Learning System for Prediction of Chronic Wound Management Decisions. - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel Agu; Holly Nguyen; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (DESRIST, 2020)

Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches. - Ameya Wagh; Shubham Jain; Apratim Mukherjee; Emmanuel Agu; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Clifford Lindsay; Ziyang Liu (IEEE Access, 2020)

An Explainable Machine Learning Model for Chronic Wound Management Decisions. - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel O. Agu; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (AMCIS, 2021)

HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion. - Songlin Hou; Clifford Lindsay; Emmanuel Agu; Peder C. Pedersen; Bengisu Tulu; Diane M. Strong (MIUA, 2021)

On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. - Apiwat Ditthapron; Emmanuel O. Agu; Peder C. Pedersen; Clifford Lindsay; Bengisu Tulu; Diane M. Strong (ICMLA, 2023)

Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project. - Diane M. Strong; Bengisu Tulu; Emmanuel Agu; Peder C. Pedersen (IEEE Trans. Engineering Management, 2023)