Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer
2020 · Scientific Reports · 37 citations
https://doi.org/10.1038/s41598-020-77397-0
D
Daniel Abler
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
81
Papers
671
Citations
12
h-index
14
i10-index
Daniel Abler is an academic researcher from University of Geneva. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Mathematical Biology Tumor Growth & Medical Imaging Techniques and Applications. The author has an h-index of 12, co-authored 69 publications.
ORCID: 0000-0003-1776-5985Papers by this author
worksQuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research
2023 · European Radiology Experimental · 12 citations
https://doi.org/10.1186/s41747-023-00326-z
MRI and CT radiomics for the diagnosis of acute pancreatitis
2025 · European Journal of Radiology Open · 2 citations
https://doi.org/10.1016/j.ejro.2025.100636
PBT138-030-VeryHigh from Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11450067
PBT138-high-medium-low from Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11450055
HT1080 from Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11450070
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat