DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty

6 February 2025

Papers citing "DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty"

8 / 8 papers shown

Title
DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals Sen Yan Fabrizio Gabellieri Etienne Goffinet Filippo Castiglione Thomas Launey DiffM MedIm 23 1 0 26 May 2025
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 328 1,404 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 372 15,454 0 20 Dec 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Christoph Schuhmann Richard Vencu Romain Beaumont R. Kaczmarczyk Clayton Mullis Aarush Katta Theo Coombes J. Jitsev Aran Komatsuzaki VLM MLLM CLIP 208 1,422 0 03 Nov 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 522 18,008 0 19 Jun 2020
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning X. Qu Yihui Huang Hengfa Lu Tianyu Qiu D. Guo Tatiana Agback V. Orekhov Zhong Chen 26 144 0 09 Apr 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 268 6,925 0 12 Mar 2015