activity
20202026
most citedA Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy

46 citations · 75 across the 4 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

FOSY: Segmental Backbone Assignment in Intrinsically Disordered Proteins

Dmitry M. Lesovoy, Tatiana Agback, Panagiota S. Georgoulia +3

Backbone resonance assignment is a prerequisite for most biomolecular NMR applications, yet conventional multidimensional strategies frequently fail for intrinsically disordered pr…

physics.bio-ph2025★ 1 cited

Towards Ultimate NMR Resolution with Deep Learning

Amir Jahangiri, Tatiana Agback, Ulrika Brath +1

In multidimensional NMR spectroscopy, practical resolution is defined as the ability to distinguish and accurately determine signal positions against a background of overlapping pe…

q-bio.BM2022

Resolution enhancement of NMR by decoupling with low-rank Hankel model

Tianyu Qiu, Amir Jahangiri, Xiao Han +6

Nuclear magnetic resonance (NMR) spectroscopy has become a formidable tool for biochemistry and medicine. Although J-coupling carries essential structural information it may also l…

q-bio.BM2022★ 28 cited

NMR spectrum reconstruction as a pattern recognition problem

Amir Jahangiri, Xiao Han, Dmitry Lesovoy +4

A new deep neural network based on the WaveNet architecture (WNN) is presented, which is designed to grasp specific patterns in the NMR spectra. When trained at a fixed non-uniform…

cs.LG2020★ 46 cited

A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy

Zi Wang, Di Guo, Zhangren Tu +9

The non-uniform sampling is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partial sampled expone…