Nathan Lay

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Computed Tomography Scans

Convolutional Neural Networks

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay, Fatemeh Dehghani Firouzabadi, Aditi Chaurasia, Mahshid Golagha, Shiva Singh, Fatemeh Homayounieh, Aryan Zahergivar, Stephanie A. Harmon, Evrim Turkbey, Rabindra Gautam, Kevin Ma, María Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging: A Supervised Contrastive Learning. CoRR (2024)
Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection. CoRR (2024)
Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. IEEE Access 9 (2021)
Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. ISBI (2021)
Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu
Random Hinge Forest for Differentiable Learning. CoRR (2018)
Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) (2018)
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45 (2018)
Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI (2017)
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation. CoRR (2017)
Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Medical Imaging: Image Processing (2017)
Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI (2017)
Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. Medical Imaging: Computer-Aided Diagnosis (2016)
Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) (2016)
Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV (2016)
Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
Colitis detection on abdominal CT scans by rich feature hierarchies. Medical Imaging: Computer-Aided Diagnosis (2016)
Nathan Lay, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou
Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models. IPMI (2013)
Adrian Barbu, Nathan Lay
An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. 13 (2012)
Adrian Barbu, Nathan Lay
An Introduction to Artificial Prediction Markets for Classification CoRR (2011)
Edwin Jimenez, Nathan Lay, M. Yousuff Hussaini
A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation. Monte Carlo Methods Appl. 16 (1) (2010)
Nathan Lay, Adrian Barbu
Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML (2010)