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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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Fitsum Tsehay

Indra Yohannes

Fekadu Yohannes

Yohannes Kassahun

Yohannes Uloro

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Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.Y. Tsehay, N. Lay, X. Wang, J. Kwak, B. Turkbey, P. Choyke, P. Pinto, B. Wood, и R. Summers. ISBI, стр. 642-645. IEEE, (2017)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)Computational modeling towards focused ultrasound therapy for spinal cord injury: visualization of beam propagation through patient-specific anatomy.A. Kumar, Y. Tsehay, E. Gonzalez, M. Kerensky, M. Bell, N. Theodore, N. Thakor, и A. Manbachi. Medical Imaging: Image-Guided Procedures, том 12466 из SPIE Proceedings, SPIE, (2023)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)Between-tumor and within-tumor heterogeneity in invasive potential.V. Padmanaban, Y. Tsehay, K. Cheung, A. Ewald, и J. Bader. PLoS Comput. Biol., (2020)Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.Y. Tsehay, N. Lay, H. Roth, X. Wang, J. Kwak, B. Turkbey, P. Pinto, B. Wood, и R. Summers. Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013405. SPIE, (2017)

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