Supervised Aggregation of Classifiers using Artificial Prediction Markets. - Nathan Lay; Adrian Barbu (ICML, 2010)

A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation. - Edwin Jimenez; Nathan Lay; M. Yousuff Hussaini (Monte Carlo Methods Appl., 2010)

An introduction to artificial prediction markets for classification. - Adrian Barbu; Nathan Lay (J. Mach. Learn. Res., 2012)

Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models. - Nathan Lay; Neil Birkbeck; Jingdan Zhang; Shaohua Kevin Zhou (IPMI, 2013)

Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. - Nathan Lay; Sabrina Freeman; Baris Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Colitis detection on abdominal CT scans by rich feature hierarchies. - Jiamin Liu; Nathan Lay; Zhuoshi Wei; Le Lu 001; Lauren Kim; Evrim Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. - Isabella Nogues; Le Lu 001; Xiaosong Wang 001; Holger Roth; Gedas Bertasius; Nathan Lay; Jianbo Shi; Yohannes Tsehay; Ronald M. Summers (MICCAI (2), 2016)

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. - Le Lu 001; Dijia Wu; Nathan Lay; David Liu; Isabella Nogues; Ronald M. Summers (WACV, 2016)

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. - Ruida Cheng; Nathan Lay; Francesca Mertan; Baris Turkbey; Holger R. Roth; Le Lu 001; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe; Ronald M. Summers (ISBI, 2017)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. - Uyen N. Hoang; Ashkan A. Malayeri; Nathan S. Lay; Ronald M. Summers; Jianhua Yao 001 (Computer-Aided Diagnosis, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Automatic MR prostate segmentation by deep learning with holistically-nested networks. - Ruida Cheng; Holger R. Roth; Nathan Lay; Le Lu 001; Baris Turkbey; William Gandler; Evan S. McCreedy; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2017)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

Random Hinge Forest for Differentiable Learning. - Nathan Lay; Adam P. Harrison; Sharon Schreiber; Gitesh Dawer; Adrian Barbu (CoRR, 2018)

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. - Holger R. Roth; Le Lu 001; Nathan Lay; Adam P. Harrison; Amal Farag; Andrew Sohn; Ronald M. Summers (Medical Image Anal., 2018)

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. - Samira Masoudi; Stephanie A. Harmon; Sherif Mehralivand; Nathan Lay; Ulas Bagci; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 2021)

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. - 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; et al. (IEEE Access, 2021)

Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection. - Alex Chen; Nathan Lay; Stephanie A. Harmon; Kutsev Ozyoruk; Enis Yilmaz; Bradford J. Wood; Peter A. Pinto; Peter L. Choyke; Baris Turkbey (ISBI, 2024)

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging. - 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; et al. (CoRR, 2024)

Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts. - 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; et al. (Comput. Biol. Medicine, 2025)