Peder C. Pedersen

20 papers B 2C 2Misc 2Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2023 C conf
On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment.
ICMLA
Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong
2023 J jnl
Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project.
IEEE Trans. Engineering Management
Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Peder C. Pedersen
2021 — conf
An Explainable Machine Learning Model for Chronic Wound Management Decisions.
AMCIS
Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel O. Agu, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn
2021 — conf
HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion.
MIUA
Songlin Hou, Clifford Lindsay, Emmanuel Agu, Peder C. Pedersen, Bengisu Tulu, Diane M. Strong
2020 — conf
Design of a Machine Learning System for Prediction of Chronic Wound Management Decisions.
DESRIST
Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel Agu, Holly Nguyen, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn
2020 — conf
Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations?
AMCIS
Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel O. Agu, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn
2020 Misc conf
Prediction of Chronic Wound Care Decisions Using Machine Learning.
AMIA
Haadi Mombini, Emmanuel Agu, Diane M. Strong, Holly Nguyen, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn, Bengisu Tulu
2020 J jnl
Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches.
IEEE Access
Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu
2017 J jnl
Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.
IEEE Trans. Biomed. Eng.
Lei Wang, Peder C. Pedersen, Emmanuel Agu, Diane M. Strong, Bengisu Tulu
2016 — conf
Design Implications of User Experience Studies: The Case of a Diabetes Wellness App.
HICSS
Bengisu Tulu, Diane M. Strong, Lei Wang, Qian He, Emmanuel Agu, Peder C. Pedersen, Soussan Djamasbi
2015 J jnl
A Markov random field approach to group-wise registration/mosaicing with application to ultrasound.
Medical Image Anal.
Jason Kutarnia, Peder C. Pedersen
2015 J jnl
Obstetric Ultrasound Simulator With Task-Based Training and Assessment.
IEEE Trans. Biomed. Eng.
Li Liu, Jason Kutarnia, Petra Belady, Peder C. Pedersen
2015 J jnl
Smartphone-Based Wound Assessment System for Patients With Diabetes.
IEEE Trans. Biomed. Eng.
Lei Wang, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Ronald Ignotz
2014 — conf
Personal Training Simulator for Asynchronous Learning of Obstetric Ultrasound.
MMVR
Li Liu, Jason Kutarnia, Peder C. Pedersen, Petra Belady
2013 B conf
3D seam selection techniques with application to improved ultrasound mosaicing.
Image Processing
Jason Kutarnia, Peder C. Pedersen
2013 Misc conf
Sugar: A Mobile Phone App for Diabetes and Diabetic Wound Management.
AMIA
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
2013 B conf
Wound image analysis system for diabetics.
Image Processing
Lei Wang, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Emmanuel Agu
2012 — conf
Generation of 3D Ultrasound Training Volumes from Freehand Acquired Data.
MMVR
Jason Kutarnia, Peder C. Pedersen
2012 — conf
Personal Low-Cost Ultrasound Training System.
MMVR
Peder C. Pedersen, Daniel Skehan
2009 C conf
Telemedicine applications of mobile ultrasound.
MMSP
Peder C. Pedersen, Brett W. Dickson, Jacob Chakareski