J. Peter Campbell

Orcid: 0000-0001-7964-9475

Affiliations:
  • Oregon Health & Science University, Casey Eye Institute, Portland, OR, USA


According to our database1, J. Peter Campbell authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

2023
Panretinal Optical Coherence Tomography.
IEEE Trans. Medical Imaging, November, 2023

A generalized framework to predict continuous scores from medical ordinal labels.
CoRR, 2023

2022
Spectral Ranking Regression.
ACM Trans. Knowl. Discov. Data, 2022

Improving the repeatability of deep learning models with Monte Carlo dropout.
npj Digit. Medicine, 2022

A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Monte Carlo dropout increases model repeatability.
CoRR, 2021

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations.
CoRR, 2021

Structurally Guided Channel Attention Networks: SGCA-Net.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Spectral Ranking.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.
npj Digit. Medicine, 2020

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity.
Proceedings of the AMIA 2020, 2020

Fast and Accurate Ranking Regression.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Classification and comparison via neural networks.
Neural Networks, 2019

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.
CoRR, 2019

Accelerated Experimental Design for Pairwise Comparisons.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Towards Practical Unsupervised Anomaly Detection on Retinal Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A Severity Score for Retinopathy of Prematurity.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Variational Inference from Ranked Samples with Features.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Deep feature transfer between localization and segmentation tasks.
CoRR, 2018

High-resolution medical image synthesis using progressively grown generative adversarial networks.
CoRR, 2018

Experimental Design under the Bradley-Terry Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.
Proceedings of the AMIA 2018, 2018

2017
Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity.
Proceedings of the AMIA 2017, 2017

2016
Toward a severity index for ROP: An unsupervised approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Implementation and evaluation of a tele-education system for the diagnosis of ophthalmic disease by international trainees.
Proceedings of the AMIA 2015, 2015


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