Harvard Catalyst Profiles

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Mislav Bobic, M.Sc.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Bertolet A, Wehrenberg-Klee E, Bobic M, Grassberger C, Perl J, Paganetti H, Schuemann J. Pre- and post-treatment image-based dosimetry in90Y-microsphere radioembolization using the TOPAS Monte Carlo toolkit. Phys Med Biol. 2021 Dec 29; 66(24). PMID: 34915451.
    Citations:    Fields:    
  2. Nesteruk KP, Bobic M, Lalonde A, Winey BA, Lomax AJ, Paganetti H. CT-on-Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy of Head-and-Neck Cancers. Cancers (Basel). 2021 Nov 28; 13(23). PMID: 34885100.
    Citations: 1     
  3. Lalonde A, Bobic M, Winey B, Verburg J, Sharp GC, Paganetti H. Anatomic changes in head and neck intensity-modulated proton therapy: Comparison between robust optimization and online adaptation. Radiother Oncol. 2021 06; 159:39-47. PMID: 33741469.
    Citations: 2     Fields:    Translation:Humans
  4. Bobic M, Lalonde A, Sharp GC, Grassberger C, Verburg JM, Winey BA, Lomax AJ, Paganetti H. Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy. Phys Med Biol. 2021 02 25; 66(5). PMID: 33503592.
    Citations: 3     Fields:    
  5. Roggen T, Bobic M, Givehchi N, Scheib SG. Deep Learning model for markerless tracking in spinal SBRT. Phys Med. 2020 Jun; 74:66-73. PMID: 32422577.
    Citations: 3     Fields:    
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.