activity
20142021
most citedPacking, alignment and flow of shape-anisotropic grains in a 3D silo experiment

74 citations · 270 across the 9 of their papers we have counts for

collaborators

10 papers

physics.med-ph2021★ 1 cited

Noise and dose reduction in CT brain perfusion acquisition by projecting time attenuation curves onto lower dimensional spaces

Vojtěch Kulvait, Philip Hoelter, Arnd Doerfler +1

CT perfusion imaging (CTP) plays an important role in decision making for the treatment of acute ischemic stroke with large vessel occlusion. Since the CT perfusion scan time is ap…

math.NA2021★ 4 cited

Software Implementation of the Krylov Methods Based Reconstruction for the 3D Cone Beam CT Operator

Vojtěch Kulvait, Georg Rose

Krylov subspace methods are considered a standard tool to solve large systems of linear algebraic equations in many scientific disciplines such as image restoration or solving part…

eess.IV2021★ 2 cited

Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator

Vojtěch Kulvait, Julian Moosmann, Georg Rose

We introduce a novel class of projectors for 3D cone beam tomographic reconstruction. Analytical formulas are derived to compute the relationship between the volume of a voxel proj…

eess.IV2021★ 31 cited

ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data

Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen +4

MRI is an inherently slow process, which leads to long scan time for high-resolution imaging. The speed of acquisition can be increased by ignoring parts of the data (undersampling…

eess.IV2021★ 43 cited

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge

Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf +3

Dynamic imaging is a beneficial tool for interventions to assess physiological changes. Nonetheless during dynamic MRI, while achieving a high temporal resolution, the spatial reso…

eess.IV2020★ 30 cited

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images

Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen +10

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the e…

eess.IV2019

Breathing deformation model -- application to multi-resolution abdominal MRI

Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf +3

Dynamic MRI is a technique of acquiring a series of images continuously to follow the physiological changes over time. However, such fast imaging results in low resolution images.…

cond-mat.soft2016★ 74 cited

Packing, alignment and flow of shape-anisotropic grains in a 3D silo experiment

Tamás Börzsönyi, Ellák Somfai, Balázs Szabó +4

Granular material flowing through bottlenecks like the openings of silos tend to clog and to inhibit further flow. We study this phenomenon in a three-dimensional hopper for spheri…

cond-mat.soft2014★ 19 cited

Evolution of shear zones in granular materials

Balazs Szabo, Janos Torok, Ellak Somfai +6

The evolution of wide shear zones (or shear bands) was investigated experimentally and numerically for quasistatic dry granular flows in split bottom shear cells. We compare the be…

cond-mat.soft2014★ 66 cited

Effects of grain shape on packing and dilatancy of sheared granular materials

Sandra Wegner, Ralf Stannarius, Axel Boese +4

Granular material exposed to shear shows a variety of unique phenomena: Reynolds dilatancy, positional order and orientational order effects may compete in the shear zone. We study…