Nathan Lay
According to our database1,
Nathan Lay
authored at least 20 papers
between 2010 and 2024.
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Bibliography
2024
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2021
IEEE Access, 2021
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Medical Image Anal., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
J. Mach. Learn. Res., 2012
2010
A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation.
Monte Carlo Methods Appl., 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010