David J. Foran
Affiliations: | Graduate School - New Brunswick | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Biomedical Engineering, RadiologyGoogle:
"David Foran"
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Publications
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| Panayides AS, Amini A, Filipovic ND, et al. (2020) AI in Medical Imaging Informatics: Current Challenges and Future Directions. Ieee Journal of Biomedical and Health Informatics. 24: 1837-1857 |
| Ren J, Singer EA, Sadimin E, et al. (2019) Statistical Analysis of Survival Models Using Feature Quantification on Prostate Cancer Histopathological Images. Journal of Pathology Informatics. 10: 30 |
| Ren J, Hacihaliloglu I, Singer EA, et al. (2019) Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images. Frontiers in Bioengineering and Biotechnology. 7: 102 |
| Hou L, Nguyen V, Kanevsky AB, et al. (2019) Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. Pattern Recognition. 86: 188-200 |
| Ren J, Karagoz K, Gatza ML, et al. (2018) Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks. Journal of Medical Imaging (Bellingham, Wash.). 5: 047501 |
| Ren J, Sadimin E, Foran DJ, et al. (2017) Computer aided analysis of prostate histopathology images to support a refined Gleason grading system. Proceedings of Spie--the International Society For Optical Engineering. 10133 |
| Chennubhotla C, Clarke LP, Fedorov A, et al. (2017) An Assessment of Imaging Informatics for Precision Medicine in Cancer. Yearbook of Medical Informatics. 26: 110-119 |
| Foran DJ, Chen W, Chu H, et al. (2017) Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology. Cancer Informatics. 16: 1176935117694349 |
| Yildirim E, Foran DJ. (2017) Parallel Versus Distributed Data Access for Gigapixel-Resolution Histology Images: Challenges and Opportunities. Ieee Journal of Biomedical and Health Informatics. 21: 1049-1057 |
| Wu Y, Zou J, Murillo P, et al. (2016) SU-F-J-207: Non-Small Cell Lung Cancer Patient Survival Prediction with Quantitative Tumor Textures Analysis in Baseline CT. Medical Physics. 43: 3456 |