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researcher

J. Olsson

33 papers hereh-index 151k citations63 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author4
  • last author18

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • stat.CO12
  • math.ST8
  • stat.ME5
  • physics.med-ph3
  • stat.ML2
  • hep-ph1
same name
  • J. Olsson — 95 papers, h 44
  • J. Olsson — 34 papers, h 19
  • J. Olsson — 7 papers, h 3
  • J. Olsson — 1 paper, h 3
  • J. Olsson — 1 paper, h 8
  • J. Olsson — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedSequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models

165 citations · 521 across the 31 of their papers we have counts for

collaborators
Showing 2021 · physics.med-phShow all

3 papers · 2 filters

physics.med-ph2021★ 11 cited

Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning

Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson

Objective: We propose a semiautomatic pipeline for radiation therapy treatment planning, combining ideas from machine learning-automated planning and multicriteria optimization (MC…

physics.med-ph2021★ 4 cited

Direct optimization of dose-volume histogram metrics in radiation therapy treatment planning

Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson

We present a method of directly optimizing on deviations in clinical goal values in radiation therapy treatment planning. Using a new mathematical framework in which metrics derive…

physics.med-ph2021★ 15 cited

Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning

Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson

Purpose: We propose a general framework for quantifying predictive uncertainties of dose-related quantities and leveraging this information in a dose mimicking problem in the conte…

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