output
20162024
most citedSolving ill-posed inverse problems using iterative deep neural networks

532 citations

Showing physics.med-phShow all

5 papers · 1 filter

physics.med-ph2021★ 3 cited

Unsupervised dynamic modeling of medical image transformation

Niklas Gunnarsson, Peter Kimstrand, Jens Sjölund +1

Spatiotemporal imaging has applications in e.g. cardiac diagnostics, surgical guidance, and radiotherapy monitoring, In this paper, we explain the temporal motion by identifying th…

physics.med-ph2018★ 1 cited

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction

Nikita Moriakov, Koen Michielsen, Jonas Adler +3

Digital breast tomosynthesis is rapidly replacing digital mammography as the basic x-ray technique for evaluation of the breasts. However, the sparse sampling and limited angular r…

physics.med-ph2018★ 8 cited

Simultaneous optimization of isocenter locations and sector duration in radiosurgery

Mucahit Cevik, Dionne Aleman, Young Lee +5

Stereotactic radiosurgery is an effective technique to treat brain tumors for which several inverse planning methods may be appropriate. We propose an integer programming model to…

physics.med-ph2018★ 46 cited

A linear programming approach to inverse planning in Gamma Knife radiosurgery

Jens Sjölund, Stella Riad, Marcus Hennix +1

Leksell Gamma Knife is a stereotactic radiosurgery system that allows fine-grained control of the delivered dose distribution. We describe a new inverse planning approach that both…

physics.med-ph2016★ 112 cited

Whole-brain diffusional variance decomposition (DIVIDE): Demonstration of technical feasibility at clinical MRI systems

Filip Szczepankiewicz, Jens Sjölund, Freddy Ståhlberg +2

Purpose: To assess the technical feasibility of whole-brain diffusional variance decomposition (DIVIDE) based on q-space trajectory encoding (QTE) at clinical MRI systems with vary…