Nathan Lay

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Random Hinge Forest for Differentiable Learning pdf

Nathan Lay, Adam P. Harrison, Sharon Schreiber, 2018, ArXiv.

Spatial aggregation of holistically‐nested convolutional neural networks for automated pancreas localization and segmentation☆

Ronald M. Summers, Andrew Sohn, Nathan Lay, 2017, Medical Image Anal..

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Nathan Lay, Baris Turkbey, Le Lu, 2017, Journal of medical imaging.

A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation

Nathan Lay, M. Yousuff Hussaini, Edwin Jimenez, 2010, Monte Carlo Methods Appl..

Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models

Nathan Lay, Shaohua Kevin Zhou, Neil Birkbeck, 2013, IPMI.

Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks

Nathan Lay, Baris Turkbey, Ronald M Summers, 2018, Journal of medical imaging.

Artificial prediction markets for lymph node detection

Nathan Lay, Adrian Barbu, Adrian Barbu, 2013, 2013 E-Health and Bioengineering Conference (EHB).

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization

Ronald M. Summers, Nathan Lay, Le Lu, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI

Ronald M. Summers, Nathan Lay, Jin Tae Kwak, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

Ronald M. Summers, Nathan Lay, Holger Roth, 2016, MICCAI.

Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2019, Journal of medical imaging.

Colitis detection on abdominal CT scans by rich feature hierarchies

Ronald M. Summers, Nathan Lay, Jiamin Liu, 2016, SPIE Medical Imaging.

An Introduction to Artificial Prediction Markets

Nathan Lay, Adrian Barbu, 2011 .

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Detection of prostate cancer in multiparametric MRI using random forest with instance weighting

Nathan Lay, Jin Tae Kwak, Baris Turkbey, 2017, Journal of medical imaging.

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

Nathan Lay, Baris Turkbey, Ruida Cheng, 2019, Journal of medical imaging.

Supervised Aggregation of Classifiers using Artificial Prediction Markets

Nathan Lay, Adrian Barbu, Adrian Barbu, 2010, ICML.

Automatic MR prostate segmentation by deep learning with holistically-nested networks

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2017, Medical Imaging.

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI

Ronald M. Summers, Nathan Lay, Adrian Barbu, 2018, MICCAI.

An introduction to artificial prediction markets for classification pdf

Nathan Lay, Adrian Barbu, Adrian Barbu, 2011, J. Mach. Learn. Res..

Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2016, SPIE Medical Imaging.

Multimodel Approach Based on Evidence Theory for Forecasting Tropical Cyclone Tracks

Nathan Lay, M. Yousuff Hussaini, Svetlana V. Poroseva, 2010 .

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, IEEE Access.

Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes.

Nathan Lay, Jianhua Yao, Jiamin Liu, 2019, The British journal of radiology.

Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study

Ronald M. Summers, Nathan Lay, Baris Turkbey, 2018, European Radiology.

Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI.

Nathan Lay, Baris Turkbey, Tristan Barrett, 2019, AJR. American journal of roentgenology.