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

I. Nogues, L. Lu, X. Wang, H. Roth, G. Bertasius, N. Lay, J. Shi, Y. Tsehay, и R. Summers. MICCAI (2), том 9901 из Lecture Notes in Computer Science, стр. 388-397. (2016)

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Nathan ben-Nathan

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Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.H. Roth, L. Lu, N. Lay, A. Harrison, A. Farag, A. Sohn, и R. Summers. Medical Image Anal., (2018)Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.I. Nogues, L. Lu, X. Wang, H. Roth, G. Bertasius, N. Lay, J. Shi, Y. Tsehay, и R. Summers. MICCAI (2), том 9901 из Lecture Notes in Computer Science, стр. 388-397. (2016)Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.L. Lu, D. Wu, N. Lay, D. Liu, I. Nogues, и R. Summers. WACV, стр. 1-10. IEEE Computer Society, (2016)Random Hinge Forest for Differentiable Learning.N. Lay, A. Harrison, S. Schreiber, G. Dawer, и A. Barbu. CoRR, (2018)Supervised Aggregation of Classifiers using Artificial Prediction Markets.N. Lay, и A. Barbu. ICML, стр. 591-598. Omnipress, (2010)Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection.A. Chen, N. Lay, S. Harmon, K. Ozyoruk, E. Yilmaz, B. Wood, P. Pinto, P. Choyke, и B. Turkbey. ISBI, стр. 1-5. IEEE, (2024)Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models.N. Lay, N. Birkbeck, J. Zhang, и S. Zhou. IPMI, том 7917 из Lecture Notes in Computer Science, стр. 450-462. Springer, (2013)Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.R. Cheng, N. Lay, F. Mertan, B. Turkbey, H. Roth, L. Lu, W. Gandler, E. McCreedy, T. Pohida, P. Choyke и 2 other автор(ы). ISBI, стр. 749-753. IEEE, (2017)No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.S. Masoudi, S. Harmon, S. Mehralivand, N. Lay, U. Bagci, B. Wood, P. Pinto, P. Choyke, и B. Turkbey. ISBI, стр. 1201-1205. IEEE, (2021)A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.N. Lay, Y. Tsehay, Y. Sumathipala, R. Cheng, S. Gaur, C. Smith, A. Barbu, L. Lu, B. Turkbey, P. Choyke и 2 other автор(ы). MICCAI (2), том 11071 из Lecture Notes in Computer Science, стр. 930-939. Springer, (2018)

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