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20032023
most citedRadiotherapy planning for glioblastoma based on a tumor growth model: Improving target volume delineation

69 citations · 210 across the 10 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

physics.med-ph2013★ 69 cited

Radiotherapy planning for glioblastoma based on a tumor growth model: Improving target volume delineation

Jan Unkelbach, Bjoern H. Menze, Ender Konukoglu +4

Glioblastoma are known to infiltrate the brain parenchyma instead of forming a solid tumor mass with a defined boundary. Only the part of the tumor with high tumor cell density can…

physics.med-ph2013

A Mathematical Programming Approach to the Fractionation Problem in Chemoradiotherapy

Ehsan Salari, Jan Unkelbach, Thomas Bortfeld

In concurrent chemoradiotherapy, chemotherapeutic agents are administered during the course of radiotherapy to enhance the primary tumor control. However, that often comes at the e…

physics.med-ph2013★ 2 cited

Optimization of Radiation Therapy Fractionation Schedules in the Presence of Tumor Repopulation

Thomas Bortfeld, Jagdish Ramakrishnan, John N. Tsitsiklis +1

We analyze the effect of tumor repopulation on optimal dose delivery in radiation therapy. We are primarily motivated by accelerated tumor repopulation towards the end of radiation…

physics.med-ph2013★ 9 cited

Exploiting tumor shrinkage through temporal optimization of radiotherapy

Jan Unkelbach, David Craft, Theodore Hong +5

In multi-stage radiotherapy, a patient is treated in several stages separated by weeks or months. This regimen has been motivated mostly by radiobiological considerations, but also…

physics.med-ph2013

Averaging VMAT treatment plans for multi-criteria navigation

David Craft, David Papp, Jan Unkelbach

The main approach to smooth Pareto surface navigation for radiation therapy multi-criteria treatment planning involves taking real-time averages of pre-computed treatment plans. In…

physics.med-ph2013★ 46 cited

Direct leaf trajectory optimization for volumetric modulated arc therapy planning with sliding window delivery

Dávid Papp, Jan Unkelbach

We propose a novel optimization model for volumetric modulated arc therapy (VMAT) planning that directly optimizes deliverable leaf trajectories in the treatment plan optimization…