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Statistical and Deformable Model Approaches to the Segmentation of MR Imagery and Volume Estimation of Stroke Lesions., , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 829-836. Springer, (2001)Explicit Loss Inference in Multicast Tomography., , , and . IEEE Trans. Inf. Theory, 52 (8): 3852-3855 (2006)Personalized Ultrafiltration Profiles to Minimize Intradialytic Hypotension in End-Stage Renal Disease., , , , and . CDC, page 309-314. IEEE, (2018)A uniform law of large numbers and empirical central limit theorem for limits of finite populations. Statistics & Probability Letters, 10 (2): 159--166 (July 1990)Nonlinear Diffusion Scale-Space and Fast Marching Level Sets for Segmentation of MR Imagery and Volume Estimation of Stroke Lesions., , , , and . MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 496-504. Springer, (2003)Multicast-based inference of network-internal loss characteristics., , , and . IEEE Trans. Inf. Theory, 45 (7): 2462-2480 (1999)Simplification of an erythropoiesis model for design of anemia management protocols in end stage renal disease., , , , , , and . EMBC, page 83-86. IEEE, (2011)Gaussian random measures. Stochastic Processes and their Applications, 22 (1): 129--133 (May 1986)Multicast topology inference from measured end-to-end loss., , , and . IEEE Trans. Inf. Theory, 48 (1): 26-45 (2002)Multicast-Based Inference of Network-Internal Characteristics: Accuracy of Packet Loss Estimation., , , , and . INFOCOM, page 371-379. IEEE Computer Society, (1999)