Nathan Lay

22 papers A* 1A 1B 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts.
Comput. Biol. Medicine
Fahmida Haque, Alex Chen, Nathan Lay, Jorge Carrasquillo, Esther Mena, Liza Lindenberg, Julia E. Segal, Philip Eclarinal, Sara Talvacchio, Alberta Derkyi, Peter L. Choyke, Karel Pacak, Rosandra N. Kaplan, Frank I. Lin, Baris Turkbey, Stephanie A. Harmon
2024 — conf
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection.
ISBI
Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2024 J jnl
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection.
CoRR
Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2024 J jnl
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging.
CoRR
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 C. Ma, María Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri
2021 J jnl
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans.
IEEE Access
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
2021 — conf
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.
ISBI
Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey
2018 — conf
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.
MICCAI (2)
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
2018 J jnl
Random Hinge Forest for Differentiable Learning.
CoRR
Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu
2018 J jnl
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Medical Image Anal.
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
2017 B conf
Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Image Processing
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
2017 — conf
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
ISBI
Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017 — conf
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
ISBI
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
2017 J jnl
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation.
CoRR
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
2016 A conf
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.
WACV
Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers
2016 — conf
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
MICCAI (2)
Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
2016 — conf
Colitis detection on abdominal CT scans by rich feature hierarchies.
Computer-Aided Diagnosis
Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
2016 — conf
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest.
Computer-Aided Diagnosis
Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers
2013 — conf
Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models.
IPMI
Nathan Lay, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou
2012 J jnl
An introduction to artificial prediction markets for classification.
J. Mach. Learn. Res.
Adrian Barbu, Nathan Lay
2011 J jnl
An Introduction to Artificial Prediction Markets for Classification
CoRR
Adrian Barbu, Nathan Lay
2010 J jnl
A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation.
Monte Carlo Methods Appl.
Edwin Jimenez, Nathan Lay, M. Yousuff Hussaini
2010 A* conf
Supervised Aggregation of Classifiers using Artificial Prediction Markets.
ICML
Nathan Lay, Adrian Barbu