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Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity.

K. Schilling, S. Fadnavis, J. Batson, M. Visagie, A. Combes, S. By, C. Mcknight, F. Bagnato, E. Garyfallidis, B. Landman, S. Smith, and K. O'Grady. NeuroImage, (2023)

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On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.A. Luca, A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. Alexander, M. Nilsson, M. Froeling, G. Biessels and 32 other author(s). NeuroImage, (2021)EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction.J. Park, S. Fadnavis, and E. Garyfallidis. CoRR, (2022)Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity.K. Schilling, S. Fadnavis, J. Batson, M. Visagie, A. Combes, S. By, C. Mcknight, F. Bagnato, E. Garyfallidis, B. Landman and 2 other author(s). NeuroImage, (2023)NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification.S. Fadnavis, J. Sjölund, A. Eklund, and E. Garyfallidis. CoRR, (2022)ThetA - fast and robust clustering via a distance parameter.E. Garyfallidis, S. Fadnavis, J. Park, B. Chandio, J. Guaje, S. Koudoro, and N. Anousheh. CoRR, (2021)Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning.S. Fadnavis, J. Batson, and E. Garyfallidis. NeurIPS, (2020)Fitting IVIM with Variable Projection and Simplicial Optimization.S. Fadnavis, H. Farooq, M. Afzali, C. Lenglet, T. Georgiou, H. Cheng, S. Newman, S. Ahmed, R. Henriques, E. Peterson and 3 other author(s). CoRR, (2019)Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.C. Hansen, Q. Yang, I. Lyu, F. Rheault, C. Kerley, B. Chandio, S. Fadnavis, O. Williams, A. Shafer, S. Resnick and 9 other author(s). Neuroinformatics, 19 (3): 447-460 (2021)PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization.S. Fadnavis, A. Dhurandhar, R. Norel, J. Reinen, C. Agurto, E. Secchettin, V. Schweiger, G. Perini, and G. Cecchi. CoRR, (2022)

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